— · Apache-2.0
🔥 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)
— · MIT
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.
— · Apache-2.0
vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
— · AGPL-3.0
A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
— · MIT
a coding Agent from pi. ∞ providers, sub-agents, hashline edits, and a permission gate
— · Apache-2.0
Shell and coding agent on mcp clients
v3.0.1 · MIT
Agent-first, provider-neutral multimodal OCR CLI for images, PDFs, URLs, JSON schemas, and agentic extraction with Gemini, Kimi, Muse, and OpenRouter.
— · no license
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
v2.45.0 · MIT
Kinetically Orchestrated Neural Execution Engine for Code
v1.37.2 · AGPL-3.0-or-later
A web-based UI for Claude Code CLI
— · Apache-2.0
Token Bank — the local LLM gateway that sits between your AI agents and every provider. Know where tokens go · Spend less with smart routing to Ollama, Groq, GitHub Models · Earn by sharing idle quota on a community P2P network. One-click onboarding for Cursor, Claude Code, Codex CLI, Gemini CLI — no agent changes. Full trace, seamless model swap
— · Apache-2.0
Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.
— · Apache-2.0
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
v0.2.3 · MIT
Community plugin — NOT affiliated with DeepSeek AI. Extensible multi-provider web search for DSH — built-in DashScope and MiMo, easy to add more.
— · no license
Governance standard and reference toolset for LLM-maintained knowledge corpora
— · MIT
Charles Proxy MCP server for AI agents with live capture, structured traffic analysis, and agent-friendly tool contracts
— · no license
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.
v6.1.1 · MIT
Product Maker MCP server — cost products, generate dropshipping landing pages, UGC videos, and ad creatives, and publish to Shopify and Meta Ads from Claude, ChatGPT, or Gemini.
v3.9.0 · MIT
🦾 MONSTER ENGINEER v2 - Ultimate AI CLI with 63 Skills, 12 Superpowers, 14 Agents. Multi-Agent Orchestration, Cost-Aware, Security Scorecard, Parallel-First.
— · MIT
Illusion-Agent: Where fantasy meets functionality — an AI agent platform for terminal, browser, any model, any OS.
— · no license
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。
— · MIT
An open canvas workspace for AI coding agents
— · Apache-2.0
An MCP Multimodal AI Agent with eyes and ears!
— · MIT
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.