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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
PythonApache-2.0★ 75kNo key
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, me
SkillMIT★ 46kNo key
Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent
OfficialSkillMIT★ 1.3k in collectionNo key
Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent loc
OfficialSkillMIT★ 1.3k in collectionNo key
Open-source AI agent platform for building, deploying, and managing AI teammates. Role-based agents (PM, Engineer, Support, Marketing) with custom tools, knowledge bases, and 50+ integrations. Self-ho
SkillMIT★ 47No key
A self-improving agent. Tested on DeepSeek, Qwen, Kimi, GLM models. Supports MCP, Skills.
SkillMIT★ 328No key
Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket
SkillApache-2.0★ 3.8kNo key
The Agent is an enterprise-grade Google Ads management agent running on Claude Opus
SkillMIT★ 31No key
Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the user asks about "AI calling my
OfficialSkillMIT★ 376 in collectionNo key
Search + Chat = SearChat(AI Chat with Search), Support OpenAI/Anthropic/VertexAI/Gemini, DeepResearch, SearXNG, Docker. AI对话式搜索引擎，支持DeepResearch, 支持OpenAI/Anthropic/VertexAI/Gemini接口、聚合搜索引擎SearXNG，支持D
SkillMIT★ 1.1kNo key
The rules layer for AI-written code — rig-lite: a fail-closed cross-model review gate, a written constitution, git-versioned memory. Any harness, any repo. v1-4 were the agentic dev environment.
SkillMIT★ 176No key
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
SkillApache-2.0★ 6.5kNo key
On-premises conversational RAG with configurable containers
SkillMPL-2.0★ 1.1kNo key
Evidence-first multi-agent debate skill: get a second opinion by pitting Codex × Claude Code (or GLM/DeepSeek/Qwen) to independently review, red-team & judge high-stakes code and architecture decision
SkillMIT★ 25No key
Own your AI memory — import ChatGPT, Claude and Gemini exports, see what each AI knows about you. Checkpoint/restore and cross-model continuity for agents.
PythonMIT★ 122No key
The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across three inference types: generate, stream, and a calibrated decide (via TypeSafe Jev). MCP-
Node.jsMIT★ 156No key
The .NET library to build AI agents with 30+ built-in connectors.
SkillMIT★ 645No key
Local-first memory layer for LLM apps and agents. Runs offline on Ollama, sentence-transformers and FAISS; OpenAI and Anthropic optional. Importance scoring, contradiction resolution, confidence-aware
PythonApache-2.0★ 49No key
AI-native workspace for local shells and remote machines.Zero Webview, zero OpenSSL, zero telemetry, and no app subscription.Written in Rust+GPUI
SkillGPL-3.0★ 1.7kNo key
AI pair programming in your terminal — one static binary, sub-ms startup, any model
SkillMIT★ 618No key
An enterprise AI workspace for model routing, multimodal chat, files, tools, billing, identity, and operations.
SkillApache-2.0★ 1.6kNo key
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