— · no license
Feed your agent papers and half-formed ideas — it links them into a system design you can defend. Markdown keeps the record; a visual canvas makes it readable. An Agent Skill for Claude Code & any SKILL.md-compatible agent.
v0.9.0 · MIT
Local-first MCP App for scientific figures. Import, review, and publish a global library on disk; reuse exact templates in Pi, DeepSeek Harness (dsh), Claude, Codex, Cursor, and Wisp.
v2.9.10 · Apache-2.0
Search ClinicalTrials.gov trials, retrieve study details and results, and match patients to eligible trials via MCP. STDIO or Streamable HTTP.
v0.6.0 · MIT
Open-source quantum Agent workspace with a desktop client, Web UI, messaging, Qiskit/MCP tools, and scientific validation
v0.1.5-rc.2 · MIT
The AI analyst that shows its work. Runs Python and R on your own machine, and traces every chart back to the code behind it.
v1.1.0 · MIT
Compare multiple skills on the same task and pick the winner.
v1.0.1 · MIT
Evidence-first reading for AI agents — turn articles, books and PDFs into traceable claims, evidence, source locations and knowledge maps.
v0.0.0 · Apache-2.0
Toward Autonomous Scientific Discovery
v5.0.0 · no license
⚡ DocsAgent — give your AI agents instant, private access to your personal knowledge base (Zotero, Obsidian, Apple Notes supported now, local docs on the road). Native C++ search core: BM25 + passage ranking in ~15 ms. MCP server for Claude, Cursor, Cline & any MCP client.
v4.4.2 · AGPL-3.0-only
MCP server that gives AI agents the web: fetch, search, crawl and screenshot from one local Rust binary. Zero API keys, zero accounts, Chrome-true TLS.
— · MIT
A market-driven Product Manager copilot (Agent Skills + Claude Code plugin) based on the Pragmatic Framework — guides PMs from idea to launch and produces a client-ready artifact (Markdown or .docx) at every stage.
v0.1.0 · MIT
Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.
— · Apache-2.0
The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.
— · MIT
x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros
— · MIT
Connect your favorite AI agents directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural language.
— · AGPL-3.0
Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.
v1.0.0 · MIT
Autonomous knowledge base plugin for Claude Code - captures reserch, ideas, and decisions into an interlinked wiki with reserch-on-miss, semantic search, and a Wikipedia-style web UI. Knowledge compounds as you work.
— · no license
last30days-cn 是一个 AI Agent 技能(Skill),能够自动搜索中国互联网 8 大主流平台最近 30 天的内容,综合分析后生成有据可查的研究报告。
v1.0.0 · MIT
The Product Manager's Operating System. A Claude Code plugin with 27 AI-powered skills for every PM workflow.
— · MIT
Full agentic runs for Slay the Spire 2. A mod that exposes in-game state, and the MCP server for the mod.
— · no license
Production-ready Claude Code 2.0 setup for autonomous development
— · no license
Full-stack consulting skill for Claude Code — 6 AI agents, 16 strategy frameworks, CPA-level financial modeling, zero hallucinations
v11.9.6 · MIT
Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.
— · MIT
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.