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Volg actieve open-source AI-repositories rond LLM, agents, MCP, RAG en coderen, met sterren en geverifieerde projectgegevens.
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thinkinaixyz/deepchat
DeepChat is an open-source, local-first AI agent desktop client built in TypeScript and Electron. It integrates cloud LLMs, local models, MCP services, installable Skills, ACP agents, and remote control for messaging apps, following the Tape.systems philosophy to keep agent sessions recoverable and inspectable.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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