MCP 및 도구 호출
neomjs/neo
A self-evolving software organism that combines a multi-threaded frontend application engine with an end-to-end AI engineering team operating via cross-model swarm coordination, persistent memory, and runtime application embodiment.
★ 3.3K⑂ 231JavaScript
MITQ98
MCP 및 도구 호출
langchain4j/langchain4j
An idiomatic, open-source Java library for building LLM-powered applications on the JVM, offering a unified API over popular LLM providers and vector stores with support for tool calling, MCP, agents, and RAG.
★ 12.8K⑂ 2.4KJava
Apache-2.0Q98
MCP 및 도구 호출
graphify-labs/graphify
Graphify is a local-first CLI tool and AI assistant skill that parses codebases, docs, SQL schemas, and PDFs into a queryable knowledge graph using deterministic AST parsing, eliminating the need for vector stores or embeddings.
★ 104K⑂ 10.1KPython
Apache-2.0Q98
MCP 및 도구 호출
hkuds/vibe-trading
An open-source Python-based AI agent framework designed to provide comprehensive trading, backtesting, and quantitative finance capabilities via a single command.
★ 30.1K⑂ 4.8KPython
MITQ98
MCP 및 도구 호출
triggerdotdev/trigger.dev
An open-source platform for building and deploying fully-managed AI agents and workflows in TypeScript, featuring long-running tasks, retries, queues, observability, and elastic scaling.
★ 15.9K⑂ 1.4KTypeScript
Apache-2.0Q98
MCP 및 도구 호출
agentscope-ai/qwenpaw
A self-hostable personal AI assistant that runs locally or in the cloud, featuring multi-channel connectivity, extensible skills, and a three-layer memory system.
★ 33.9K⑂ 3KPython
Apache-2.0Q98
MCP 및 도구 호출
atmosphere/atmosphere
Atmosphere is a Java-based real-time framework for building, streaming, and governing AI agents. It provides a unified broadcaster pipeline for WebSocket, SSE, long-polling, and gRPC, alongside built-in governance, human-in-the-loop workflows, and multi-protocol support including MCP, A2A, and AG-UI.
★ 3.8K⑂ 760Java
Apache-2.0Q98
MCP 및 도구 호출
headroomlabs-ai/headroom
Headroom is a local-first context compression layer that reduces token usage for AI agents by compressing tool outputs, logs, files, and RAG chunks before they reach the LLM. It offers library, proxy, and MCP server modes and claims to preserve answer accuracy while cutting tokens by 15-95% depending on workload.
★ 65K⑂ 4.9KPython
Apache-2.0Q98
MCP 및 도구 호출
oraios/serena
Serena is an MIT-licensed, Python-based MCP toolkit that provides AI coding agents with IDE-grade semantic code retrieval, editing, refactoring, and debugging capabilities through high-level symbol-level abstractions.
★ 27.6K⑂ 1.8KPython
MITQ98
MCP 및 도구 호출
homeassistant-ai/ha-mcp
A comprehensive Model Context Protocol (MCP) server enabling AI assistants to interact with, configure, build, and debug Home Assistant smart home setups using natural language.
★ 4.3K⑂ 177Python
MITQ98
MCP 및 도구 호출
agentscope-ai/agentscope
A production-ready, easy-to-use agent framework designed to leverage the reasoning and tool-use abilities of increasingly agentic LLMs without constraining them with strict prompts or opinionated orchestrations.
★ 28.6K⑂ 3.3KPython
Apache-2.0Q98
MCP 및 도구 호출
lemonade-sdk/lemonade
Lemonade is an open-source local AI server that enables users to run optimized Large Language Models (LLMs), speech, and image generation models directly on their own GPUs and NPUs, providing a free and private alternative to cloud APIs.
★ 5.2K⑂ 436C++
Apache-2.0Q98