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24 packages found
Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs
A collection of Summoner clients and agents featuring example implementations and reusable templates
历年ICLR论文和开源项目合集,包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
🏓 An experimental and educational script for Ping-pong server demonstrating remote MCP (Model Context Protocol) calls
MCP server enabling AI assistants to search and retrieve information from local resume and job application documents
Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and se
Demo of ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.
Your Data, Your AI — Health, Finance & More. Open Source, Privacy-First.
Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure
LLM Function Calling Library and CLI with Support for MCP Servers
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents
A Model Context Protocol (MCP) server that enables Claude Desktop to check domain availability across 50+ TLDs. Features
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
A Python-powered Model Context Protocol MCP server and client that uses Wolfram Alpha via API.
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Co
Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.
A generative speech model for daily dialogue.
An opinionated list of awesome Pydantic-AI frameworks, libraries, software and resources.
LLM-agnostic tabletop RPG Game Master framework. Runs on OpenCode, LM Studio, or any LLM service. D&D 5e included as ref
A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.
A transparent, minimal, and hackable agent framework. ~300 lines of readable code. Full control, no magic.
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
PDBe MCP Servers integrate Protein Data Bank Europe resources with LLMs via Model Context Protocol. Provides seamless ac