39 packages found
Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks,
Unreal Engine Vibe Coding tool
Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and se
Persistent memory and session intelligence for AI coding assistants. Auto-tracks mistakes, decisions, and context via ho
Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and
Standalone Substack CLI + 26-tool MCP server. Your IDE drafts the replies. Zero AI API keys.
Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarit
One memory. Every AI tool. Yours to keep. Local-first, MCP-compatible, Apache 2.0.
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip i
支持查询主流agent框架技术文档的MCP server(支持stdio和sse两种传输协议), 支持 langchain、llama-index、autogen、agno、openai-agents-sdk、mcp-doc、camel-a
Achieve infinite conversation turns in a single API request via turn-mcp. Self-hosted MCP server with browse
Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.
A modular research pipeline that turns trending Reddit discussions into structured market events and options trade ideas
Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.
Your Data, Your AI — Health, Finance & More. Open Source, Privacy-First.
Pay-per-call USDA nutrition API for AI agents. x402 + USDC on Base.
Start, observe, and interact with Claude Managed Agents from any MCP client (Claude.ai, Claude Code, …). Pluggable auth
MCP-сервер для Ozon Seller API и Performance API — подключите любого AI-агента к кабинету продавца
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures
Persistent engineering memory for coding agents over MCP.
Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.
Local-first Obsidian MCP server for Codex, Claude Desktop, and markdown vault automation.
🎬 The first AI-powered MCP server for Final Cut Pro XML. Control your edits with natural language.
MCP server that lets Claude Code and other AI agents read large PDFs without hitting context limits. Chunked reading, hy
Model Context Protocol (MCP) server for the CallRail REST API v3 — query calls, form submissions, transcripts, and more
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
Open-source Python library for 73 API connectors — Gmail, Slack, GitHub, Stripe, OpenAI, Anthropic & more. MCP server, O
Self-hosted MCP server and coordination layer for AI agent fleets: shared memory, tasks, messaging, and session handoffs
MCP server for Dolphin (GameCube + Wii) — drives memory r/w, controllers, savestate, frame advance via Felk's Python-scr
Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrat
Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice in
Run AI agents fully autonomously on a filesystem directory — MCP servers and skills enabled, with zero human approvals o
PDBe MCP Servers integrate Protein Data Bank Europe resources with LLMs via Model Context Protocol. Provides seamless ac
Local MCP server that exposes classic Outlook desktop (mail, calendar, contacts, tasks, rules) to Claude and other MCP c
The best-benchmarked open-source memory system for AI coding assistants
Vault-native, accountable memory for Claude Code and MCP clients. Markdown is the source of truth, no LLM on the Stop pa
LLM Function Calling Library and CLI with Support for MCP Servers
A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in y
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP