🧠 RepoBrain (formerly Antigravity) — Give your repo a brain. ChatGPT for your codebase: works in Claude Code, Cursor, Codex, Windsurf & more.

A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。

🔥 Java enterprise application development framework for full scenario: Restrained, Efficient, Open, Ecologicalll!!! 700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; Compatible with java8 ~ java26; Supports LTS. (Replaceable spring)

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

Shell and coding agent on mcp clients

Make RSS 📰 great again with AI 🧠✨!! 数据打标请联系 glidea123 (数万并发随时狂飙)

A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Governance standard and reference toolset for LLM-maintained knowledge corpora

The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

An MCP Multimodal AI Agent with eyes and ears!

Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus citation tracking via the OpenAI, Perplexity, Gemini and Claude APIs with your own keys. Zero dependencies, MCP server.

Smart UI MCP Server for VS Code, Cursor, and AI IDEs. Provides Smart UI components, metadata, and Angular code generation through the Model Context Protocol with support for Azure OpenAI, OpenAI, Anthropic, Gemini, and local LLMs.