* [Ollama v0.30.0](https://github.com/ollama/ollama) – Tool for running and managing large language models.

* [Langfuse v3.177.0](https://github.com/langfuse/langfuse) – LLM engineering platform for collaboratively developing, monitoring, evaluating, and debugging AI applications.

* [CopilotKit v1.59.0](https://github.com/CopilotKit/CopilotKit) – Tool for building integrated AI assistants and agents that operate within user applications.

* [Langfuse v3.176.0](https://github.com/langfuse/langfuse) – LLM engineering platform for collaboratively developing, monitoring, evaluating, and debugging AI applications.

* [Langfuse v3.177.1](https://github.com/langfuse/langfuse) – LLM engineering platform for collaboratively developing, monitoring, evaluating, and debugging AI applications.

* [Kortix v0.9.0](https://github.com/kortix-ai/suna) – Autonomous company OS where Linux-sandboxed AI agents run code, manage files, and automate operations 24/7.

* [ClaraVerse v0.2.0](https://github.com/claraverse-space/ClaraVerse) – Private AI workspace combining chat, image generation, visual workflows, and local model support with browser-local storage for confidential conversations.

* [Open Multi-Agent v1.5.0](https://github.com/open-multi-agent/open-multi-agent) – TypeScript-native multi-agent orchestration that decomposes goals into parallel task DAGs and synthesizes results.

* [LocalAI v4.3.2](https://github.com/mudler/LocalAI) – Self-hosted alternative to popular AI APIs for local inferencing on consumer-grade hardware.

* [LangChain langchain-perplexity...](https://github.com/langchain-ai/langchain) – Framework for building agents and LLM-powered applications with modular components and integrations.

* [yzma v1.15.0](https://github.com/hybridgroup/yzma) – Go-based library for hardware-accelerated local inference with llama.cpp integration.

* [snip v0.18.0](https://github.com/edouard-claude/snip) – CLI proxy that filters shell output before AI coding assistants see it, cutting LLM token usage with declarative YAML pipelines.

* [Cherry Studio v1.9.9](https://github.com/CherryHQ/cherry-studio) – Desktop client supporting multiple LLM providers, available on Windows, Mac, and Linux.

* [AionUi v2.1.9](https://github.com/iOfficeAI/AionUi) – Modern GUI for multi-model AI chat with integrated file management and Excel processing.

* [Context7 MCP @upstash/context7-mc...](https://github.com/upstash/context7) – Fetches up-to-date documentation and code examples for prompts in LLMs.

* [AI Agent Automation v0.9.0](https://github.com/vmDeshpande/ai-agent-automation) – Developer-first, local-first workflow execution engine enabling deterministic, inspectable AI-driven automation.

* [NobodyWho nobodywho-kotlin-v1....](https://github.com/nobodywho-ooo/nobodywho) – Inference engine for running LLMs locally and efficiently on any device.

* [ClaraVerse v0.3.1](https://github.com/claraverse-space/ClaraVerse) – Private AI workspace combining chat, image generation, visual workflows, and local model support with browser-local storage for confidential conversations.

* [Cherry Studio v1.9.8](https://github.com/CherryHQ/cherry-studio) – Desktop client supporting multiple LLM providers, available on Windows, Mac, and Linux.

* [TauriTavern v2.1.0](https://github.com/Darkatse/TauriTavern) – Classic SillyTavern rewritten as a Tauri/Rust desktop app supporting multiple AI chat backends and cross-platform packaging.

* [Gerbil v1.25.0](https://github.com/lone-cloud/gerbil) – Desktop app for running Large Language Models locally with cross-platform support and integrated image generation.

* [NoteGen note-gen-v0.28.0](https://github.com/codexu/note-gen) – Cross-platform Markdown note-taking application using AI to organize fragmented knowledge into readable notes.

* [CopilotKit v1.59.2](https://github.com/CopilotKit/CopilotKit) – Tool for building integrated AI assistants and agents that operate within user applications.

* [LocalAI v4.3.6](https://github.com/mudler/LocalAI) – Self-hosted alternative to popular AI APIs for local inferencing on consumer-grade hardware.

* [Crit v0.16.0](https://github.com/tomasz-tomczyk/crit) – GitHub PR-style browser UI for reviewing agent-generated files with inline comments and round-to-round diffs.

* [TauriTavern mobile-auto-v2.0.0](https://github.com/Darkatse/TauriTavern) – Classic SillyTavern rewritten as a Tauri/Rust desktop app supporting multiple AI chat backends and cross-platform packaging.

* [AionUi v2.1.8](https://github.com/iOfficeAI/AionUi) – Modern GUI for multi-model AI chat with integrated file management and Excel processing.

* [RapidFire AI v0.16.0](https://github.com/RapidFireAI/rapidfireai) – Hyperparallelized, shard-based experiment framework for rapid LLM customization, RAG, context engineering, and fine-tuning with real-time control.

* [LocalAI v4.3.5](https://github.com/mudler/LocalAI) – Self-hosted alternative to popular AI APIs for local inferencing on consumer-grade hardware.

* [Output v0.6.0](https://github.com/growthxai/output) – TypeScript framework for building and orchestrating AI workflows and agent-driven development with integrated prompts, tracing, evals, and secrets management.

* [CopilotKit v1.59.1](https://github.com/CopilotKit/CopilotKit) – Tool for building integrated AI assistants and agents that operate within user applications.

* [AionUi v2.1.7](https://github.com/iOfficeAI/AionUi) – Modern GUI for multi-model AI chat with integrated file management and Excel processing.

* [Reasonix desktop-v0.54.0](https://github.com/esengine/DeepSeek-Reasonix) – DeepSeek-native AI coding agent for your terminal, engineered around prefix-cache stability to keep token costs low across long sessions.

* [LocalAI v4.3.4](https://github.com/mudler/LocalAI) – Self-hosted alternative to popular AI APIs for local inferencing on consumer-grade hardware.

* [AionUi v2.1.6](https://github.com/iOfficeAI/AionUi) – Modern GUI for multi-model AI chat with integrated file management and Excel processing.

* [LocalAI v4.3.3](https://github.com/mudler/LocalAI) – Self-hosted alternative to popular AI APIs for local inferencing on consumer-grade hardware.

* [Cherry Studio v1.9.7](https://github.com/CherryHQ/cherry-studio) – Desktop client supporting multiple LLM providers, available on Windows, Mac, and Linux.

* [Read Frog v1.33.11](https://github.com/mengxi-ream/read-frog) – AI-powered browser extension for immersive language learning with translation and article analysis.

* [Prompt Optimizer v2.11.5](https://github.com/linshenkx/prompt-optimizer) – Tool for enhancing prompt quality to improve AI interaction results.

* [AionUi v2.1.5](https://github.com/iOfficeAI/AionUi) – Modern GUI for multi-model AI chat with integrated file management and Excel processing.

* [ByteRover CLI v3.16.1](https://github.com/campfirein/byterover-cli) – Interactive REPL CLI providing persistent, structured memory and context-tree management for AI coding agents, with cloud sync and multi-LLM support.

* [Reasonix desktop-v0.53.0](https://github.com/esengine/DeepSeek-Reasonix) – DeepSeek-native AI coding agent for your terminal, engineered around prefix-cache stability to keep token costs low across long sessions.

* [Mastra @mastra/core@1.37.0](https://github.com/mastra-ai/mastra) – Opinionated TypeScript framework for building AI applications and features quickly.

* [snip v0.17.0](https://github.com/edouard-claude/snip) – CLI proxy that filters shell output before AI coding assistants see it, cutting LLM token usage with declarative YAML pipelines.

* [AionUi v2.1.4](https://github.com/iOfficeAI/AionUi) – Modern GUI for multi-model AI chat with integrated file management and Excel processing.

* [MCP Mesh v2.386.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [LangChain langchain==1.3.3](https://github.com/langchain-ai/langchain) – Framework for building agents and LLM-powered applications with modular components and integrations.

* [Bifrost ent-v1.4.6-datasheet...](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [MCP Mesh v2.384.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [PasteGuard v0.3.6](https://github.com/sgasser/pasteguard) – OpenAI-compatible privacy proxy that masks personal data and secrets before they reach external LLMs.

* [AI SDK @ai-sdk/amazon-bedro...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [obsidian-mcp-server v3.2.4](https://github.com/cyanheads/obsidian-mcp-server) – MCP server for Obsidian vaults that reads, writes, searches, and surgically edits notes, tags, and frontmatter via the Local REST API plugin.

* [Hermes Web UI v0.6.9](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [yibiao-simple v2.5.2](https://github.com/FB208/OpenBidKit_Yibiao) – Out-of-the-box AI bid writing and checking tool with knowledge base and duplicate detection.

* [yibiao-simple v2.5.1](https://github.com/FB208/OpenBidKit_Yibiao) – Out-of-the-box AI bid writing and checking tool with knowledge base and duplicate detection.

* [Hermes Web UI hermes-0.15.2-runtim...](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [slopless v0.2.19](https://github.com/seochecks-ai/slopless) – Deterministic textlint rules and CLI for catching prose slop in English Markdown.

* [Kortix dev-latest](https://github.com/kortix-ai/suna) – Autonomous company OS where Linux-sandboxed AI agents run code, manage files, and automate operations 24/7.

* [MCP Mesh v2.375.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Gerbil v1.25.1](https://github.com/lone-cloud/gerbil) – Desktop app for running Large Language Models locally with cross-platform support and integrated image generation.

* [yibiao-simple v2.4.7](https://github.com/FB208/OpenBidKit_Yibiao) – Out-of-the-box AI bid writing and checking tool with knowledge base and duplicate detection.

* [HelixML 2.11.14](https://github.com/helixml/helix) – Private GenAI stack for deploying AI agents with support for RAG, API calls, vision, and efficient GPU scheduling.

* [TauriTavern desktop-auto-v2.1.0](https://github.com/Darkatse/TauriTavern) – Classic SillyTavern rewritten as a Tauri/Rust desktop app supporting multiple AI chat backends and cross-platform packaging.

* [TauriTavern mobile-auto-v2.1.0](https://github.com/Darkatse/TauriTavern) – Classic SillyTavern rewritten as a Tauri/Rust desktop app supporting multiple AI chat backends and cross-platform packaging.

* [Bifrost ent-v1.4.6-vk-fix-ba...](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Hermes Web UI v0.6.7](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [Sokuji v0.30.5](https://github.com/kizuna-ai-lab/sokuji) – Desktop application providing live speech translation and audio routing using multiple AI-powered APIs.

* [Bifrost ent-v1.4.6-base](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [yibiao-simple v2.4.6](https://github.com/FB208/OpenBidKit_Yibiao) – Out-of-the-box AI bid writing and checking tool with knowledge base and duplicate detection.

* [Hermes Web UI v0.6.6](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [obsidian-mcp-server v3.2.3](https://github.com/cyanheads/obsidian-mcp-server) – MCP server for Obsidian vaults that reads, writes, searches, and surgically edits notes, tags, and frontmatter via the Local REST API plugin.

* [Raindrop Workshop v0.1.12](https://github.com/raindrop-ai/workshop) – Local debugger that streams agent traces, runs evals against code, and supports self-healing repair loops.

* [Raindrop Workshop v0.1.10](https://github.com/raindrop-ai/workshop) – Local debugger that streams agent traces, runs evals against code, and supports self-healing repair loops.

* [MCP Mesh v2.373.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Bifrost ent-v1.4.5-stream-pa...](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Bifrost ent-v1.4.5-stream-pa...](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Bifrost ent-v1.4.5-base](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [MCP Mesh v2.371.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.369.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Hermes Web UI v0.6.5](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [NobodyWho nobodywho-kotlin-v0....](https://github.com/nobodywho-ooo/nobodywho) – Inference engine for running LLMs locally and efficiently on any device.

* [UnicomAI/wanwu v0.5.5](https://github.com/UnicomAI/wanwu) – Enterprise-grade multi-tenant platform for developing large model applications including intelligent agents, workflows, and text Q&A with model management.

* [MCP Mesh v2.368.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Promptfoo code-scan-action-0.1...](https://github.com/promptfoo/promptfoo) – Developer-friendly local tool for testing, evaluating, and securing large language model applications.

* [Wren AI wren-v0.8.1](https://github.com/Canner/WrenAI) – Generative Business Intelligence agent that allows teams to interact with data for generating insights, reports, and visualizations.

* [yibiao-simple v2.3.3](https://github.com/FB208/OpenBidKit_Yibiao) – Out-of-the-box AI bid writing and checking tool with knowledge base and duplicate detection.

* [LangChain langchain-anthropic=...](https://github.com/langchain-ai/langchain) – Framework for building agents and LLM-powered applications with modular components and integrations.

* [Sokuji v0.30.4](https://github.com/kizuna-ai-lab/sokuji) – Desktop application providing live speech translation and audio routing using multiple AI-powered APIs.

* [Input 0 v0.6.1](https://github.com/10xChengTu/input0) – macOS tool that records via hotkey, performs local STT, refines text with an LLM, and auto-pastes into the active input field.

* [Hermes Web UI v0.6.4](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [MCP Mesh v2.366.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.363.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Output v0.5.2](https://github.com/growthxai/output) – TypeScript framework for building and orchestrating AI workflows and agent-driven development with integrated prompts, tracing, evals, and secrets management.

* [LangChain langchain-perplexity...](https://github.com/langchain-ai/langchain) – Framework for building agents and LLM-powered applications with modular components and integrations.

* [MCP Mesh v2.359.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.358.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Sokuji v0.30.3](https://github.com/kizuna-ai-lab/sokuji) – Desktop application providing live speech translation and audio routing using multiple AI-powered APIs.

* [aimock v1.27.3](https://github.com/CopilotKit/aimock) – Mock infrastructure for testing AI applications' external services like LLMs, multimedia APIs, agent protocols, and vector databases.

* [MCP Mesh v2.356.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [LangChain langchain-fireworks=...](https://github.com/langchain-ai/langchain) – Framework for building agents and LLM-powered applications with modular components and integrations.

* [Sokuji v0.30.2](https://github.com/kizuna-ai-lab/sokuji) – Desktop application providing live speech translation and audio routing using multiple AI-powered APIs.

* [MCP Mesh v2.355.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Full-Stack AI Agent Template 0.2.10](https://github.com/vstorm-co/full-stack-ai-agent-template) – Production-ready FastAPI+Next.js template for building type-safe AI/LLM agents with streaming, auth, observability, multi-DB support, and 20+ integrations.

* [Bifrost helm-chart-v2.1.19](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [HelixML 2.11.13](https://github.com/helixml/helix) – Private GenAI stack for deploying AI agents with support for RAG, API calls, vision, and efficient GPU scheduling.

* [Hermes Web UI v0.6.3](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [yibiao-simple v2.3.2](https://github.com/FB208/OpenBidKit_Yibiao) – Out-of-the-box AI bid writing and checking tool with knowledge base and duplicate detection.

* [Raindrop Workshop v0.1.9](https://github.com/raindrop-ai/workshop) – Local debugger that streams agent traces, runs evals against code, and supports self-healing repair loops.

* [aimock v1.27.2](https://github.com/CopilotKit/aimock) – Mock infrastructure for testing AI applications' external services like LLMs, multimedia APIs, agent protocols, and vector databases.

* [SigMap v6.10.12](https://github.com/manojmallick/sigmap) – Finds relevant files in a codebase and supplies compact function and class signatures to AI models to reduce tokens and improve answers.

* [Bifrost ent-v1.4.4-base](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [MCP Mesh v2.353.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Bifrost core/v1.5.13](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [AI SDK @ai-sdk/otel@1.0.0-c...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [MCP Mesh v2.385.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.384.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI SDK @ai-sdk/azure@3.0.69](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [AgentField v0.1.88](https://github.com/Agent-Field/agentfield) – Control-plane infrastructure that deploys, scales, and secures autonomous AI agents as observable, identity-aware backend services.

* [Context7 MCP ctx7@0.4.5](https://github.com/upstash/context7) – Fetches up-to-date documentation and code examples for prompts in LLMs.

* [MCP Mesh v2.382.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.381.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.380.11](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Whale v0.1.35](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [Whale v0.1.34](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [MCP Mesh v2.380.10](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.380.9](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.380.8](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.380.5](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.379.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.379.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.378.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI SDK @ai-sdk/vue@2.0.194](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [MCP Mesh v2.376.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AgentField v0.1.87](https://github.com/Agent-Field/agentfield) – Control-plane infrastructure that deploys, scales, and secures autonomous AI agents as observable, identity-aware backend services.

* [MCP Mesh v2.375.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.373.13](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Whale v0.1.33](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [Whale v0.1.32](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [Whale v0.1.31](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [MCP Mesh v2.373.12](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.373.11](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

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

* [MCP Mesh v2.373.10](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.373.9](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Whale v0.1.30](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [MCP Mesh v2.373.8](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Bifrost cli/v0.10.5](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Bifrost transports/v1.5.7](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Whale v0.1.28](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [MCP Mesh v2.373.7](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.373.6](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.373.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI SDK @ai-sdk/xai@3.0.93](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [Whale v0.1.25](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [MCP Mesh v2.373.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.373.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Vellum Assistant v0.8.6](https://github.com/vellum-ai/vellum-assistant) – Personal AI assistant that learns your preferences, maintains structured memory, acts proactively, and enforces strict trust and sandboxed tools.

* [MCP Mesh v2.372.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.371.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.371.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.371.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI Reader V2 v0.71.8](https://github.com/mouseart2025/AI-Reader-V2) – Novel-analysis visualization tool producing character relationship graphs, maps, timelines and encyclopedias with local and cloud LLM support.

* [AgentField v0.1.85](https://github.com/Agent-Field/agentfield) – Control-plane infrastructure that deploys, scales, and secures autonomous AI agents as observable, identity-aware backend services.

* [Whale v0.1.24](https://github.com/usewhale/DeepSeek-Code-Whale) – Terminal AI coding assistant optimized for DeepSeek, supporting MCP, Skills, and prefix-cache optimization.

* [Guaardvark v2.5.4](https://github.com/guaardvark/guaardvark) – Self-hosted AI workstation providing autonomous screen agents, multi-tier neural routing, media generation, upscaling, RAG, voice interface, and local tool execution.

* [AI SDK @ai-sdk/vue@3.0.193](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [MCP Mesh v2.367.7](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI SDK @ai-sdk/vue@2.0.193](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [MCP Mesh v2.367.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [jsonrepair v0.4.5](https://github.com/kaptinlin/jsonrepair) – High-performance Go library for repairing malformed JSON and normalizing common JSON issues, including output from LLMs.

* [BeeAI Framework python_v0.1.81](https://github.com/i-am-bee/beeai-framework) – Toolkit for building intelligent, autonomous agents and multi-agent systems with reasoning and collaboration capabilities.

* [FastGPT v4.15.0-beta3](https://github.com/labring/FastGPT) – Knowledge-based platform leveraging LLMs for data processing, retrieval, and AI workflow orchestration.

* [MCP Mesh v2.366.7](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Adaline Gateway v1.11.23](https://github.com/adaline/gateway) – Fully local, production-ready SDK that provides a unified interface for calling over 300 LLMs with batching, caching, and extensibility.

* [MCP Mesh v2.366.4](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.366.3](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.366.2](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.364.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI SDK @ai-sdk/openai@3.0.6...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [MCP Mesh v2.361.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.356.1](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI SDK @ai-sdk/mcp@1.0.44](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [Crit v0.15.4](https://github.com/tomasz-tomczyk/crit) – GitHub PR-style browser UI for reviewing agent-generated files with inline comments and round-to-round diffs.

* [Statewave v0.9.2](https://github.com/smaramwbc/statewave) – Memory runtime for AI agents providing durable, structured memories with compiled summaries, provenance-aware ranked retrieval, and token-bounded context.

* [Bifrost transports/v1.5.5](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [AI SDK @ai-sdk/workflow@1.0...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [Dexto @dexto/tools-todo@1....](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [Hermes Web UI 0.6.8-beta-2](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [AgentField v0.1.87-rc.2](https://github.com/Agent-Field/agentfield) – Control-plane infrastructure that deploys, scales, and secures autonomous AI agents as observable, identity-aware backend services.

* [Dexto @dexto/tools-todo@1....](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [Hermes Web UI 0.6.8-beta](https://github.com/EKKOLearnAI/hermes-web-ui) – Web dashboard for Hermes Agent providing multi-platform AI chat, session management, scheduled jobs, usage analytics, and channel configuration.

* [AI SDK @ai-sdk/openai@4.0.0...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [MCP Mesh v2.367.38](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.36](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.34](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.33](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.32](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.31](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.28](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [MCP Mesh v2.367.27](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AgentField v0.1.85-rc.11](https://github.com/Agent-Field/agentfield) – Control-plane infrastructure that deploys, scales, and secures autonomous AI agents as observable, identity-aware backend services.

* [MCP Mesh v2.367.25](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [AI SDK @ai-sdk/workflow@1.0...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [AI SDK @ai-sdk/workflow@1.0...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [ActionMCP action_mcp/v0.110.2](https://github.com/seuros/action_mcp) – Ruby gem providing Model Context Protocol server support for Rails applications with network-based deployments.

* [AI SDK @ai-sdk/amazon-bedro...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [AI SDK @ai-sdk/workflow@1.0...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [Dexto @dexto/image-logger-...](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [AI SDK @ai-sdk/workflow@1.0...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [AI SDK @ai-sdk/xai@4.0.0-ca...](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [Alumnium 0.21.0-alpha.3](https://github.com/alumnium-hq/alumnium) – AI-powered test automation framework providing a high-level abstraction over Appium, Playwright, and Selenium.

* [Flow-Like beta-v0.1.4](https://github.com/Rheosoph/flow-like) – Rust-powered visual workflow automation platform running locally on devices with strong typing and full execution tracing.

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

* [Tingly Box npx-0.260531.2](https://github.com/tingly-dev/tingly-box) – High-performance desktop LLM proxy that unifies access to many models and providers via a single OpenAI-compatible API.

* [Tingly Box v0.260604.0-rc3](https://github.com/tingly-dev/tingly-box) – High-performance desktop LLM proxy that unifies access to many models and providers via a single OpenAI-compatible API.

* [NodeTool v0.7.1-nightly.20260...](https://github.com/nodetool-ai/nodetool) – Visual platform for building and deploying AI workflows, agents, and multimodal pipelines via drag-and-drop nodes.

* [Tingly Box v0.260604.0-rc2](https://github.com/tingly-dev/tingly-box) – High-performance desktop LLM proxy that unifies access to many models and providers via a single OpenAI-compatible API.

* [NodeTool v0.7.1-nightly.20260...](https://github.com/nodetool-ai/nodetool) – Visual platform for building and deploying AI workflows, agents, and multimodal pipelines via drag-and-drop nodes.

* [liter-llm v1.4.0-rc.48](https://github.com/kreuzberg-dev/liter-llm) – Universal LLM API client with a Rust core, 11 native language bindings, and support for 143 providers.

* [Tingly Box v0.260604.0-rc1](https://github.com/tingly-dev/tingly-box) – High-performance desktop LLM proxy that unifies access to many models and providers via a single OpenAI-compatible API.