* [asm v2.17.0](https://github.com/luongnv89/asm) – Command-line and TUI tool that installs, searches, audits, and organizes AI agent skills across many providers and scopes.

* [atomic-agent v0.4.0](https://github.com/AtomicBot-ai/atomic-agent) – Local operator agent for llama.cpp that controls browser, files, shell, tasks, and approvals while keeping data and models local.

* [Paseo v0.5.0](https://github.com/getpaseo/paseo) – Run and manage coding agents on your machines from phone, desktop, web, and CLI.

* [Agenta v0.113.0](https://github.com/Agenta-AI/agenta) – LLMOps platform offering integrated prompt playground, prompt management, evaluation, and observability for building reliable LLM applications.

* [treehouse v2.3.0](https://github.com/kunchenguid/treehouse) – treehouse manages a pool of reusable, isolated git worktrees so each agent session starts instantly without cloning or conflicts.

* [Docker Agent v1.127.0](https://github.com/docker/docker-agent) – Build, run, and share AI agents via declarative YAML, extensible tools, and multi-agent orchestration.

* [asm v2.16.0](https://github.com/luongnv89/asm) – Command-line and TUI tool that installs, searches, audits, and organizes AI agent skills across many providers and scopes.

* [Rowboat v0.9.0](https://github.com/rowboatlabs/rowboat) – Local-first AI coworker that builds persistent, editable Markdown knowledge from emails and meeting notes to assist everyday work.

* [DSPy-Go v0.88.0](https://github.com/XiaoConstantine/dspy-go) – Native Go framework providing systematic prompt engineering, composable modules, and automated reasoning for building LLM applications.

* [Sim v0.8.12](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Mastra @mastra/core@1.62.0](https://github.com/mastra-ai/mastra) – Opinionated TypeScript framework for building AI applications and features quickly.

* [Laminar v0.2.2](https://github.com/lmnr-ai/lmnr) – Platform for tracing, evaluating, and analyzing AI applications with support for datasets and scalable performance.

* [Sim typescript-sdk-v0.2....](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Sim v0.8.11](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Microsandbox v0.6.15](https://github.com/superradcompany/microsandbox) – Secure, local-first programmable sandboxes using hardware-isolated microVMs that boot in milliseconds for AI agents.

* [WordPress Studio v1.19.0](https://github.com/Automattic/studio) – Desktop application for creating, managing, and testing WordPress sites, plugins, and themes locally with cloud previews and AI assistance.

* [Paseo v0.5.2](https://github.com/getpaseo/paseo) – Run and manage coding agents on your machines from phone, desktop, web, and CLI.

* [Paseo v0.5.1](https://github.com/getpaseo/paseo) – Run and manage coding agents on your machines from phone, desktop, web, and CLI.

* [Composio @composio/cli@0.4.0](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [Sim v0.8.10](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [td v0.63.0](https://github.com/marcus/td) – Minimalist CLI tracking tasks and structured handoffs to preserve state across AI coding sessions.

* [ADK Utils Go v1.1.0](https://github.com/achetronic/adk-utils-go) – Go implementations and utilities for Google's Agent Development Kit, including LLM clients, session and memory storage, artifact persistence, and context management.

* [Microsandbox v0.6.14](https://github.com/superradcompany/microsandbox) – Secure, local-first programmable sandboxes using hardware-isolated microVMs that boot in milliseconds for AI agents.

* [Dive v1.26.0](https://github.com/deepnoodle-ai/dive) – Foundational Go library for building AI agents and LLM-powered applications with multi-provider access, tool calling, and a robust agent loop.

* [agent-relay v11.8.2](https://github.com/AgentWorkforce/relay) – Real-time messaging between AI agents.

* [Sim v0.8.9](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Microsandbox v0.6.13](https://github.com/superradcompany/microsandbox) – Secure, local-first programmable sandboxes using hardware-isolated microVMs that boot in milliseconds for AI agents.

* [Sim v0.8.8](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Rowboat v0.8.9](https://github.com/rowboatlabs/rowboat) – Local-first AI coworker that builds persistent, editable Markdown knowledge from emails and meeting notes to assist everyday work.

* [Mastra @mastra/core@1.61.0](https://github.com/mastra-ai/mastra) – Opinionated TypeScript framework for building AI applications and features quickly.

* [mcp-use mcp-use@2.3.0](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [agent-relay v11.8.1](https://github.com/AgentWorkforce/relay) – Real-time messaging between AI agents.

* [Openship v0.6.7](https://github.com/oblien/openship) – Source-available deployment platform that detects app stack, builds, and manages infrastructure with built-in CI/CD across desktop, web dashboard, or CLI.

* [Strands Agents python/v1.53.0](https://github.com/strands-agents/harness-sdk) – Model-driven SDK for building and running AI agents, with customizable agent loops, multi-agent workflows, and model-agnostic providers.

* [Agent Message Queue (AMQ) v0.73.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [agent-relay v11.8.5](https://github.com/AgentWorkforce/relay) – Real-time messaging between AI agents.

* [Munder Difflin v0.4.6](https://github.com/chaitanyagiri/munder-difflin) – Local desktop harness that runs Claude Code terminals as collaborating autonomous agents with shared memory and a GOD orchestrator.

* [Agent Message Queue (AMQ) v0.72.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [Azure Developer CLI azure-dev-cli\_1.32.0](https://github.com/Azure/azure-dev) – Developer-centric CLI tool that streamlines Azure application creation and enforces best practices.

* [MCP Mesh v4.276.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.272.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Agent Message Queue (AMQ) v0.71.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [MCP Mesh v4.269.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Agent Message Queue (AMQ) v0.70.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [MCP Mesh v4.268.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [agent-relay v11.8.4](https://github.com/AgentWorkforce/relay) – Real-time messaging between AI agents.

* [MCP Mesh v4.264.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.263.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Agent Message Queue (AMQ) v0.69.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [agent-relay v11.8.3](https://github.com/AgentWorkforce/relay) – Real-time messaging between AI agents.

* [atomic-agent v0.4.1](https://github.com/AtomicBot-ai/atomic-agent) – Local operator agent for llama.cpp that controls browser, files, shell, tasks, and approvals while keeping data and models local.

* [Agent Message Queue (AMQ) v0.68.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [Munder Difflin v0.4.5](https://github.com/chaitanyagiri/munder-difflin) – Local desktop harness that runs Claude Code terminals as collaborating autonomous agents with shared memory and a GOD orchestrator.

* [Agent Message Queue (AMQ) v0.67.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [atomic-agent v0.3.7](https://github.com/AtomicBot-ai/atomic-agent) – Local operator agent for llama.cpp that controls browser, files, shell, tasks, and approvals while keeping data and models local.

* [Agent Message Queue (AMQ) v0.66.0](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [MCP Mesh v4.256.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [atomic-agent v0.3.5](https://github.com/AtomicBot-ai/atomic-agent) – Local operator agent for llama.cpp that controls browser, files, shell, tasks, and approvals while keeping data and models local.

* [atomic-agent v0.3.4](https://github.com/AtomicBot-ai/atomic-agent) – Local operator agent for llama.cpp that controls browser, files, shell, tasks, and approvals while keeping data and models local.

* [atomic-agent v0.3.3](https://github.com/AtomicBot-ai/atomic-agent) – Local operator agent for llama.cpp that controls browser, files, shell, tasks, and approvals while keeping data and models local.

* [MCP Mesh v4.281.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Pane v2.4.80](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [Pane v2.4.79](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [Pane v2.4.78](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [MCP Mesh native-v4.280.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.279.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Pane v2.4.76](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [Pane v2.4.75](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [MCP Mesh native-v4.278.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.277.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.276.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.274.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.274.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.272.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.270.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.269.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.269.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [run-kit v3.18.7](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [ElevenLabs Monorepo for NPM Package @elevenlabs/react@1....](https://github.com/elevenlabs/packages) – Monorepo managing multiple npm packages under the @elevenlabs scope.

* [Agent-Native @agent-native/core@0...](https://github.com/BuilderIO/agent-native) – Framework unifying autonomous agents and interactive UIs with shared state, database support, and production-ready templates.

* [MCP Mesh native-v4.267.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.266.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.264.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [sx v2.3.7](https://github.com/sleuth-io/sx) – Package manager for team-shared AI assets including skills, MCP configs, commands, and scoped installs.

* [ElevenLabs Monorepo for NPM Package @elevenlabs/types@0....](https://github.com/elevenlabs/packages) – Monorepo managing multiple npm packages under the @elevenlabs scope.

* [sx v2.3.6](https://github.com/sleuth-io/sx) – Package manager for team-shared AI assets including skills, MCP configs, commands, and scoped installs.

* [run-kit v3.18.6](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.18.5](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [Superset desktop-canary](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

* [Agent-Native @agent-native/core@0...](https://github.com/BuilderIO/agent-native) – Framework unifying autonomous agents and interactive UIs with shared state, database support, and production-ready templates.

* [MCP Mesh native-v4.262.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Juggler v0.5.8](https://github.com/juggler-ai/juggler) – A visual AI coding agent with a local, shared tree-based session, inspectable tool calls, and plugin-driven UI and orchestration.

* [MCP Mesh v4.260.10](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.260.7](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.260.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [sx v2.3.5](https://github.com/sleuth-io/sx) – Package manager for team-shared AI assets including skills, MCP configs, commands, and scoped installs.

* [run-kit v3.18.4](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.18.3](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.18.2](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.18.1](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [mcp-use mcp-use@2.3.1](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [Agent-Native clips-nightly-v0.1.3...](https://github.com/BuilderIO/agent-native) – Framework unifying autonomous agents and interactive UIs with shared state, database support, and production-ready templates.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [Agent Message Queue (AMQ) v0.67.2](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [Agent Message Queue (AMQ) v0.67.1](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [Agent Message Queue (AMQ) v0.66.1](https://github.com/avivsinai/agent-message-queue) – Local file-based interoperability bus that coordinates agent conversations, threads, routing, and delivery state with crash-safe maildir-style messages.

* [MCP Mesh native-v4.260.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [MCP Mesh native-v4.258.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.257.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Lattice v1.14.8](https://github.com/Protocol-Lattice/go-agent) – Go agent framework with graph-aware memory, UTCP-native tools, and multi-agent orchestration.

* [MCP Mesh v4.255.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.254.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Pane v2.4.70](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [Pane v2.4.69](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [Agent Go SDK v0.2.66](https://github.com/Ingenimax/agent-sdk-go) – Powerful Go framework for building production-ready AI agents with memory, tool execution, multi-LLM support, and enterprise features.

* [Incognide v0.2.28](https://github.com/NPC-Worldwide/incognide) – Unified tileable workspace combining chat, code, documents, web browsing, and media with context-aware automations.

* [MCP Mesh native-v4.252.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Pane v2.4.67](https://github.com/dcouple/Pane) – Terminal-first agent manager that runs any CLI AI agent, manages worktrees, and centralizes agent workflows.

* [DSPy-Go v0.87.1](https://github.com/XiaoConstantine/dspy-go) – Native Go framework providing systematic prompt engineering, composable modules, and automated reasoning for building LLM applications.

* [MCP Mesh v4.248.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.248.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.246.7](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.246.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.246.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v4.245.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [CubeSandbox v0.7.0-rc2](https://github.com/TencentCloud/CubeSandbox) – Hardware-isolated sandbox service for AI agents, built on RustVMM and KVM with fast startup, high concurrency, and E2B SDK compatibility.

* [LangGraph.js @langchain/react@1.0...](https://github.com/langchain-ai/langgraphjs) – Graph-based low-level orchestration framework for building controllable language agents with long-term memory and human-in-the-loop.

* [Munder Difflin v0.4.7-rc.2](https://github.com/chaitanyagiri/munder-difflin) – Local desktop harness that runs Claude Code terminals as collaborating autonomous agents with shared memory and a GOD orchestrator.

* [MCP Mesh native-v4.275.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.269.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Entire CLI v0.10.3-nightly.2026...](https://github.com/entireio/cli) – CLI integrating with git to capture, index, and checkpoint AI agent sessions alongside commits.

* [MCP Mesh native-v4.266.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [mcp-use mcp-use@2.3.2-canary...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@2.3.2-canary...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [MCP Mesh native-v4.262.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.261.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.260.11](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Agent-Native v0.1.150-nightly.281](https://github.com/BuilderIO/agent-native) – Framework unifying autonomous agents and interactive UIs with shared state, database support, and production-ready templates.

* [run-kit v3.17.38](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [Agent-Native v0.1.150-nightly.280](https://github.com/BuilderIO/agent-native) – Framework unifying autonomous agents and interactive UIs with shared state, database support, and production-ready templates.

* [Agent-Native v0.1.150-nightly.279](https://github.com/BuilderIO/agent-native) – Framework unifying autonomous agents and interactive UIs with shared state, database support, and production-ready templates.

* [run-kit v3.17.35](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.34](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.33](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [MCP Mesh native-v4.260.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Paseo v0.5.0-beta.5](https://github.com/getpaseo/paseo) – Run and manage coding agents on your machines from phone, desktop, web, and CLI.

* [Yao v1.0.0-rc17](https://github.com/YaoApp/yao) – Engine for event-driven, proactive, self-scheduling autonomous agents with scheduling, multi-agent orchestration, and built-in vector/graph retrieval.

* [run-kit v3.17.32](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.31](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.30](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.29](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [MCP Mesh native-v4.260.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.259.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Paseo v0.5.0-beta.4](https://github.com/getpaseo/paseo) – Run and manage coding agents on your machines from phone, desktop, web, and CLI.

* [MCP Mesh native-v4.255.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [run-kit v3.17.28](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.27](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [Yao v1.0.0-rc16](https://github.com/YaoApp/yao) – Engine for event-driven, proactive, self-scheduling autonomous agents with scheduling, multi-agent orchestration, and built-in vector/graph retrieval.

* [MCP Mesh native-v4.253.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.253.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.252.10](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [LangGraph.js @langchain/vue@1.0.3...](https://github.com/langchain-ai/langgraphjs) – Graph-based low-level orchestration framework for building controllable language agents with long-term memory and human-in-the-loop.

* [iii iii/v0.23.0-rc.4](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [MCP Mesh native-v4.252.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [run-kit v3.17.26](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.25](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [MCP Mesh native-v4.248.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.247.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [run-kit v3.17.22](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [run-kit v3.17.21](https://github.com/sahil87/run-kit) – Remote, phone-first tmux console that serves each pane as a live browser terminal and supports parallel agent workspaces via git worktrees.

* [MCP Mesh native-v4.245.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Gram hooks@0.3.26](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [MCP Mesh native-v4.280.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Entire CLI v0.10.3-nightly.2026...](https://github.com/entireio/cli) – CLI integrating with git to capture, index, and checkpoint AI agent sessions alongside commits.

* [MCP Mesh native-v4.278.6](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Gram hooks@0.3.25](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [MCP Mesh native-v4.278.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.278.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [MCP Mesh native-v4.269.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Gram hooks@0.3.24](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [MCP Mesh native-v4.269.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [openteams v1.0.21-202608260128...](https://github.com/openteams-lab/openteams) – Multi-agent collaboration workspace that orchestrates AI coding agents via visible, controllable workflows with shared context and step-level control.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [MCP Mesh native-v4.268.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Composio @composio/cli@0.4.1-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [MCP Mesh native-v4.266.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Gram hooks@0.3.23](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [MCP Mesh native-v4.263.6](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.263.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.263.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [openteams v1.0.20-202608250907...](https://github.com/openteams-lab/openteams) – Multi-agent collaboration workspace that orchestrates AI coding agents via visible, controllable workflows with shared context and step-level control.

* [MCP Mesh native-v4.263.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.262.7](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [openteams v1.0.19-135.20260825...](https://github.com/openteams-lab/openteams) – Multi-agent collaboration workspace that orchestrates AI coding agents via visible, controllable workflows with shared context and step-level control.

* [MCP Mesh native-v4.262.6](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Composio @composio/cli@0.4.1-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [MCP Mesh native-v4.262.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Entire CLI v0.10.3-nightly.2026...](https://github.com/entireio/cli) – CLI integrating with git to capture, index, and checkpoint AI agent sessions alongside commits.

* [MCP Mesh native-v4.262.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.262.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [iii iii-alpha/v0.22.1-al...](https://github.com/iii-hq/iii) – Unifies backend tools into a single engine with two primitives: Function and Trigger.

* [Azure Developer CLI azd-ext-azure-ai-age...](https://github.com/Azure/azure-dev) – Developer-centric CLI tool that streamlines Azure application creation and enforces best practices.

* [MCP Mesh native-v4.260.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh native-v4.260.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [openteams v1.0.18-134.20260824...](https://github.com/openteams-lab/openteams) – Multi-agent collaboration workspace that orchestrates AI coding agents via visible, controllable workflows with shared context and step-level control.

* [Composio @composio/cli@0.3.4-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [Composio @composio/cli@0.4.0-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [openteams v1.0.17-133.20260823...](https://github.com/openteams-lab/openteams) – Multi-agent collaboration workspace that orchestrates AI coding agents via visible, controllable workflows with shared context and step-level control.

* [Composio @composio/cli@0.4.0-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [Composio @composio/cli@0.3.4-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [kody v2026.08.23](https://github.com/kentcdodds/kody) – Cloudflare Workers–based personal assistant platform with a Remix UI and Model Context Protocol endpoints, using OAuth-protected, search-focused flows.

* [Entire CLI v0.10.3-nightly.2026...](https://github.com/entireio/cli) – CLI integrating with git to capture, index, and checkpoint AI agent sessions alongside commits.

* [kody v2026.08.22](https://github.com/kentcdodds/kody) – Cloudflare Workers–based personal assistant platform with a Remix UI and Model Context Protocol endpoints, using OAuth-protected, search-focused flows.

* [Entire CLI v0.10.3-nightly.2026...](https://github.com/entireio/cli) – CLI integrating with git to capture, index, and checkpoint AI agent sessions alongside commits.

* [MCP Mesh native-v4.255.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Grix v3.2.4+869](https://github.com/askie/grix) – Mobile and desktop chat app for DeepSeek Harness and other coding agents, managing agents as contacts and enabling shared threaded collaboration with controls and approvals.

* [MCP Mesh native-v4.253.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [kody v2026.08.21](https://github.com/kentcdodds/kody) – Cloudflare Workers–based personal assistant platform with a Remix UI and Model Context Protocol endpoints, using OAuth-protected, search-focused flows.

* [Entire CLI v0.10.3-nightly.2026...](https://github.com/entireio/cli) – CLI integrating with git to capture, index, and checkpoint AI agent sessions alongside commits.

* [Composio @composio/cli@0.3.4-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [MCP Mesh native-v4.252.6](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Composio @composio/cli@0.3.4-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [Composio @composio/cli@0.4.0-...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [MCP Mesh native-v4.246.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [OpenGeni opengeni-release-hea...](https://github.com/Cloudgeni-ai/opengeni) – An organization-focused agent runtime that provides durable, replayable sessions with human approvals, governed credentials and memory, and session execution on managed sandboxes or enrolled hardware.

* [OpenGeni opengeni-release-hea...](https://github.com/Cloudgeni-ai/opengeni) – An organization-focused agent runtime that provides durable, replayable sessions with human approvals, governed credentials and memory, and session execution on managed sandboxes or enrolled hardware.

* [OpenGeni opengeni-release-hea...](https://github.com/Cloudgeni-ai/opengeni) – An organization-focused agent runtime that provides durable, replayable sessions with human approvals, governed credentials and memory, and session execution on managed sandboxes or enrolled hardware.

* [Azure Developer CLI azd-ext-azure-ai-pro...](https://github.com/Azure/azure-dev) – Developer-centric CLI tool that streamlines Azure application creation and enforces best practices.

* [OpenGeni opengeni-release-hea...](https://github.com/Cloudgeni-ai/opengeni) – An organization-focused agent runtime that provides durable, replayable sessions with human approvals, governed credentials and memory, and session execution on managed sandboxes or enrolled hardware.

* [OrchestKit v10.0.0-alpha.61](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.60](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.59](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.58](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.57](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.56](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.55](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.54](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.53](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.52](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.51](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.50](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.49](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.48](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.47](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.46](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [Stately Agent @statelyai/agent@2.0...](https://github.com/statelyai/agent) – State-machine-powered LLM agent logic built on XState, where model decisions and tool effects run within explicit, inspectable control flow.

* [OrchestKit v10.0.0-alpha.45](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.

* [OrchestKit v10.0.0-alpha.44](https://github.com/yonatangross/orchestkit) – Complete AI development toolkit for Claude Code with skills, agents, hooks, plugins, and production-ready FastAPI, React, and testing patterns.