* [DecoCMS v2.58.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.57.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [VoltAgent @voltagent/server-el...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [mcp-use mcp-use@1.15.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.56.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.54.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.53.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

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

* [DecoCMS v2.52.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Superset desktop-v0.0.61](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

* [Sim v0.5.73](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [VoltAgent @voltagent/core@2.2....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [mcp-use create-mcp-use-app@0...](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@1.15.0-canar...](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@1.15.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.51.5](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use create-mcp-use-app@0...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Azure Developer CLI azure-dev-cli_1.23.2](https://github.com/Azure/azure-dev) – Developer-centric CLI tool that streamlines Azure application creation and enforces best practices.

* [mcp-use mcp-use@1.15.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.51.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [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.

* [DecoCMS v2.51.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.51.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Sim v0.5.72](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [bd - Beads Issue Tracker v0.49.1](https://github.com/steveyegge/beads) – Lightweight graph-based issue tracker designed to enhance coding agents' memory and task management.

* [DecoCMS v2.50.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Agent Registry v0.1.13](https://github.com/agentregistry-dev/agentregistry) – Centralized registry for curating, discovering, deploying, and managing agentic AI artifacts and infrastructure.

* [DecoCMS bindings-v1.1.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.49.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.48.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.47.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Sim typescript-sdk-v0.1....](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Sim v0.5.70](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [DecoCMS v2.46.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.45.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [VoltAgent @voltagent/core@2.2....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Sim v0.5.69](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [DecoCMS v2.44.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.44.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.44.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.44.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.43.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS mesh-sdk-v1.2.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS mesh-sdk-v1.2.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS mesh-sdk-v1.1.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [AgenticGoKit v0.5.2](https://github.com/AgenticGoKit/AgenticGoKit) – Go framework for building and orchestrating real-time, multimodal, multi-agent AI systems with integrated tools, memory, and observability.

* [DecoCMS v2.41.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.40.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.40.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.40.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.39.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Stagehand stagehand-server/v3....](https://github.com/browserbase/stagehand) – AI-enhanced browser automation framework combining code and natural language for reliable production use.

* [VoltAgent @voltagent/core@2.2....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [OpenAI Agents SDK (JavaScript/TypeScript) v0.4.3](https://github.com/openai/openai-agents-js) – Lightweight framework for building multi-agent workflows with tools, handoffs, and tracing in JavaScript/TypeScript.

* [DecoCMS v2.38.6](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.38.5](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Azure Developer CLI azure-dev-cli_1.23.1](https://github.com/Azure/azure-dev) – Developer-centric CLI tool that streamlines Azure application creation and enforces best practices.

* [LangGraph.js @langchain/langgraph...](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.

* [DecoCMS v2.38.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.38.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [CodeBoarding v0.7.0](https://github.com/CodeBoarding/CodeBoarding) – LLM-enhanced static-analysis tool that generates interactive, high-level diagrams of codebases to aid onboarding and comprehension.

* [Agent Registry v0.1.12](https://github.com/agentregistry-dev/agentregistry) – Centralized registry for curating, discovering, deploying, and managing agentic AI artifacts and infrastructure.

* [DecoCMS runtime-v1.2.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Agent Go SDK v0.2.37](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.

* [DecoCMS v2.38.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.38.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.37.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

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

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

* [DecoCMS v2.35.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.34.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

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

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

* [OpenAI Agents SDK (JavaScript/TypeScript) v0.4.2](https://github.com/openai/openai-agents-js) – Lightweight framework for building multi-agent workflows with tools, handoffs, and tracing in JavaScript/TypeScript.

* [Genkit v1.28.0](https://github.com/firebase/genkit) – Framework for building full-stack AI applications with multi-language SDKs and unified model and provider integration.

* [Sim v0.5.68](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [DecoCMS v2.32.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.31.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.29.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.29.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

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

* [cagent v1.19.5](https://github.com/docker/cagent) – Multi-agent runtime orchestrating AI agents with specialized capabilities and tool integrations.

* [BeeAI Framework typescript_v0.1.26](https://github.com/i-am-bee/beeai-framework) – Toolkit for building intelligent, autonomous agents and multi-agent systems with reasoning and collaboration capabilities.

* [DecoCMS v2.28.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use python-v1.6.0](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@1.14.2-canar...](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@1.14.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Superset desktop-v0.0.60](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

* [bd - Beads Issue Tracker v0.49.0](https://github.com/steveyegge/beads) – Lightweight graph-based issue tracker designed to enhance coding agents' memory and task management.

* [mcp-use mcp-use@1.14.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Sim v0.5.67](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Stagehand @browserbasehq/stage...](https://github.com/browserbase/stagehand) – AI-enhanced browser automation framework combining code and natural language for reliable production use.

* [Superset desktop-v0.0.59](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

* [DecoCMS v2.27.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Agent Go SDK v0.2.36](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.

* [Strands Agents - TypeScript SDK v0.1.6](https://github.com/strands-agents/sdk-typescript) – Model-driven TypeScript/JavaScript SDK for building type-safe, extensible AI agents with streaming and multiple model provider support.

* [DecoCMS runtime-v1.2.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

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

* [Rowboat v0.1.28](https://github.com/rowboatlabs/rowboat) – Local-first AI coworker that builds persistent, editable Markdown knowledge from emails and meeting notes to assist everyday work.

* [mcp-use create-mcp-use-app@0...](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@1.14.1-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.27.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.24.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Apify MCP Server v0.7.4](https://github.com/apify/apify-mcp-server) – Enables AI agents to run Apify Actors as tools to extract web data using ready-made scrapers, crawlers, and automation.

* [Sim v0.5.66](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Sim v0.5.65](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Composio @composio/openai@0.5...](https://github.com/ComposioHQ/composio) – Production-ready toolset for AI agents with support for over 250 tools and multiple frameworks.

* [VoltAgent @voltagent/serverles...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [DecoCMS bindings-v1.0.9](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [LangGraph.js @langchain/langgraph...](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.

* [Flowbaker v0.0.78](https://github.com/flowbaker/flowbaker) – Execution engine that runs on your machine and executes workflows with integrations like Discord, GitHub, and Gmail.

* [DecoCMS v2.22.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Agent Go SDK v0.2.35](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.

* [Mastra @mastra/core@1.0.4-a...](https://github.com/mastra-ai/mastra) – Opinionated TypeScript framework for building AI applications and features quickly.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Mastra @mastra/core@1.0.0-b...](https://github.com/mastra-ai/mastra) – Opinionated TypeScript framework for building AI applications and features quickly.

* [DecoCMS v2.22.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Mastra @mastra/core@1.0.0-b...](https://github.com/mastra-ai/mastra) – Opinionated TypeScript framework for building AI applications and features quickly.

* [DecoCMS v2.20.5](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [BeeAI Framework python_v0.1.76](https://github.com/i-am-bee/beeai-framework) – Toolkit for building intelligent, autonomous agents and multi-agent systems with reasoning and collaboration capabilities.

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

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Sim v0.5.64](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Mastra @mastra/core@1.0.0-b...](https://github.com/mastra-ai/mastra) – Opinionated TypeScript framework for building AI applications and features quickly.

* [OpenAI Agents SDK (JavaScript/TypeScript) v0.4.1](https://github.com/openai/openai-agents-js) – Lightweight framework for building multi-agent workflows with tools, handoffs, and tracing in JavaScript/TypeScript.

* [MCP Gateway & Registry v1.0.12](https://github.com/agentic-community/mcp-gateway-registry) – Enterprise-ready platform centralizing secure access and management of AI development tools via the Model Context Protocol.

* [Superset desktop-v0.0.58](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

* [DecoCMS v2.20.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Incognide v0.0.37](https://github.com/NPC-Worldwide/incognide) – Unified tileable workspace combining chat, code, documents, web browsing, and media with context-aware automations.

* [Laminar v0.1.28](https://github.com/lmnr-ai/lmnr) – Platform for tracing, evaluating, and analyzing AI applications with support for datasets and scalable performance.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [VoltAgent @voltagent/internal@...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

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

* [Superset desktop-v0.0.57](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

* [Incognide v0.0.36](https://github.com/NPC-Worldwide/incognide) – Unified tileable workspace combining chat, code, documents, web browsing, and media with context-aware automations.

* [Rocketship v0.5.43](https://github.com/rocketship-ai/rocketship) – QA testing framework enabling coding agents to write and run end-to-end web app tests.

* [Sim v0.5.63](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [OpenAI Agents SDK (JavaScript/TypeScript) v0.4.0](https://github.com/openai/openai-agents-js) – Lightweight framework for building multi-agent workflows with tools, handoffs, and tracing in JavaScript/TypeScript.

* [Incognide v0.0.35](https://github.com/NPC-Worldwide/incognide) – Unified tileable workspace combining chat, code, documents, web browsing, and media with context-aware automations.

* [Ruler v0.3.25](https://github.com/intellectronica/ruler) – Centralized rule management with automatic distribution of AI coding assistant instructions to supported agent configuration files.

* [Incognide v0.0.34](https://github.com/NPC-Worldwide/incognide) – Unified tileable workspace combining chat, code, documents, web browsing, and media with context-aware automations.

* [Rocketship v0.5.42](https://github.com/rocketship-ai/rocketship) – QA testing framework enabling coding agents to write and run end-to-end web app tests.

* [DecoCMS v2.20.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.13.5-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Flowbaker v0.0.74](https://github.com/flowbaker/flowbaker) – Execution engine that runs on your machine and executes workflows with integrations like Discord, GitHub, and Gmail.

* [Sim v0.5.62](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Sim v0.5.61](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [Agent Development Kit (ADK) for TypeScript v0.2.4](https://github.com/google/adk-js) – Code-first TypeScript toolkit for building, evaluating, and deploying sophisticated AI agents with fine-grained control.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [OpenAI Agents SDK (JavaScript/TypeScript) v0.3.9](https://github.com/openai/openai-agents-js) – Lightweight framework for building multi-agent workflows with tools, handoffs, and tracing in JavaScript/TypeScript.

* [DecoCMS v2.20.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.19.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.13.4-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.18.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.17.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.13.3-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use create-mcp-use-app@0...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

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

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [VoltAgent @voltagent/scorers@2...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [DecoCMS v2.17.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [LangGraph.js @langchain/langgraph...](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.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Agent Development Kit (ADK) for TypeScript v0.2.3](https://github.com/google/adk-js) – Code-first TypeScript toolkit for building, evaluating, and deploying sophisticated AI agents with fine-grained control.

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

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

* [cagent v1.19.2](https://github.com/docker/cagent) – Multi-agent runtime orchestrating AI agents with specialized capabilities and tool integrations.

* [DecoCMS v2.16.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Apify MCP Server v0.7.1](https://github.com/apify/apify-mcp-server) – Enables AI agents to run Apify Actors as tools to extract web data using ready-made scrapers, crawlers, and automation.

* [DecoCMS v2.15.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Apify MCP Server v0.7.0](https://github.com/apify/apify-mcp-server) – Enables AI agents to run Apify Actors as tools to extract web data using ready-made scrapers, crawlers, and automation.

* [BeeAI Framework typescript_v0.1.24](https://github.com/i-am-bee/beeai-framework) – Toolkit for building intelligent, autonomous agents and multi-agent systems with reasoning and collaboration capabilities.

* [mcp-use mcp-use@1.13.2](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@1.13.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Sim v0.5.60](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [DecoCMS v2.15.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Azure Developer CLI azure-dev-cli_1.23.0](https://github.com/Azure/azure-dev) – Developer-centric CLI tool that streamlines Azure application creation and enforces best practices.

* [CodeBoarding v0.6.1](https://github.com/CodeBoarding/CodeBoarding) – LLM-enhanced static-analysis tool that generates interactive, high-level diagrams of codebases to aid onboarding and comprehension.

* [Genkit go/v1.4.0](https://github.com/firebase/genkit) – Framework for building full-stack AI applications with multi-language SDKs and unified model and provider integration.

* [mcp-use mcp-use@1.13.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.14.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.14.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.12.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Cloudflare Sandbox SDK @cloudflare/sandbox@...](https://github.com/cloudflare/sandbox-sdk) – Run untrusted code in isolated, secure containers at the edge with command execution, file access, and service previews.

* [OpenAI Agents SDK (JavaScript/TypeScript) v0.3.8](https://github.com/openai/openai-agents-js) – Lightweight framework for building multi-agent workflows with tools, handoffs, and tracing in JavaScript/TypeScript.

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

* [A2A Go SDK v0.3.4](https://github.com/a2aproject/a2a-go) – Go library for running agentic applications as A2A servers, compliant with the Agent2Agent protocol.

* [Superset desktop-v0.0.56](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

* [Incognide v0.0.33](https://github.com/NPC-Worldwide/incognide) – Unified tileable workspace combining chat, code, documents, web browsing, and media with context-aware automations.

* [Superset desktop-v0.0.55](https://github.com/superset-sh/superset) – Terminal for running and managing 10+ parallel CLI coding agents locally.

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

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

* [Sim v0.5.59](https://github.com/simstudioai/sim) – Platform to build and deploy AI agent workflows quickly.