makeplane/plane-mcp-server
Plane's Official Model Context Protocol Server 🔌 ⌨️ 🔥
GitHub repository with 238 stars and 102 forks.
Language: Python
Topics: mcp-server, model-context-protocol
Plane's Official Model Context Protocol Server 🔌 ⌨️ 🔥
GitHub repository with 238 stars and 102 forks.
Language: Python
Topics: mcp-server, model-context-protocol
2026-06-05: 238 stars and 102 forks.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
GitHub repository with 11,404 stars and 1,060 forks.
Trending score: 3.05; stars gained: +45; forks gained: +5.
Language: Python
Topics: ai-research, autonomous-agent, claude-code, codex, mcp, ml-research
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。
GitHub repository with 58,934 stars and 24,533 forks.
Trending score: 2.26; stars gained: +161; forks gained: +32.
Language: Python
Topics: data-analysis, python, trending-topics, news, hot-news, docker
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
GitHub repository with 7,254 stars and 1,569 forks.
Trending score: 1.95; stars gained: +98; forks gained: +20.
Language: Python
Topics: quantitative-finance, quant, trade, python, fintech, agent
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
GitHub repository with 16,750 stars and 1,720 forks.
Trending score: 1.93; stars gained: +56; forks gained: +2.
Language: Python
Topics: pytorch, speech-recognition, paraformer, punctuation, speaker-diarization, voice-activity-detection
OpenZIM MCP is a modern, secure, and high-performance MCP (Model Context Protocol) server that enables AI models to access and search ZIM format knowledge bases offline.
GitHub repository with 72 stars and 12 forks.
Trending score: 1.45; stars gained: +8; forks gained: +0.
Language: Python
Topics: kiwix, mcp, mcp-server, openzim, zim
Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !
GitHub repository with 1,041 stars and 173 forks.
Trending score: 1.34; stars gained: +24; forks gained: +3.
Language: Python
Topics: agents, ai-agents, claude, karpathy, knowledge-base, llm
The agent that grows with you
GitHub repository with 181,345 stars and 31,116 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,942 stars and 833 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,327 stars and 2,249 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,341 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 57,918 stars and 6,619 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
GitHub repository with 191,145 stars and 58,282 forks.
Trending score: 4.23; stars gained: +320; forks gained: +56.
Language: TypeScript
Topics: ai, apis, automation, cli, data-flow, development
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
GitHub repository with 5,496 stars and 694 forks.
Trending score: 3.70; stars gained: +61; forks gained: +12.
Language: Go
Topics: ai-gateway, gateway, gateway-services, generative-ai, guardrails, llm
An open-source AI agent that brings the power of Gemini directly into your terminal.
GitHub repository with 104,954 stars and 13,988 forks.
Trending score: 3.31; stars gained: +78; forks gained: +9.
Language: TypeScript
Topics: ai, ai-agents, cli, gemini, gemini-api, mcp-client
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
GitHub repository with 35,902 stars and 3,611 forks.
Trending score: 3.24; stars gained: +54; forks gained: +4.
Language: TypeScript
Topics: agent, vlm, vision, computer-use, mcp, mcp-server
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
GitHub repository with 11,404 stars and 1,060 forks.
Trending score: 3.05; stars gained: +45; forks gained: +5.
Language: Python
Topics: ai-research, autonomous-agent, claude-code, codex, mcp, ml-research