A curated dataset and discovery platform for OpenClaw AI agent projects โ spanning bioinformatics, biomedicine, drug discovery, and multi-agent learning. From lightweight assistants to self-evolving research systems.
From the full-featured core platform to ultra-lightweight edge agents, from self-evolving research systems to multi-omics pipelines.
The core platform. Personal AI assistant connecting 20+ messaging apps (WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Teams, Matrix, Feishu, LINE). Voice support on macOS/iOS/Android with live Canvas rendering.

The self-improving AI agent by Nous Research. Built-in learning loop โ creates skills from experience, improves during use, persists knowledge across sessions. Key differentiator: per-model parser adaptation that makes local open-source models work reliably with tool calls where other frameworks fail.
Not an OpenClaw fork โ independent architecture. Core advantage: per-model tool-call parser means local open-source models (Qwen, Llama, etc.) work reliably here when they fail on other frameworks. Best choice for researchers who need data privacy with zero API costs.

Ultra-lightweight OpenClaw in Python. 99% less code, full agent capabilities. Supports MCP, multi-model (OpenAI, Anthropic, Gemini, Ollama), memory, cron, sub-agents. Install: pip install nanobot-ai.

Fast, small, and fully autonomous AI assistant infrastructure. Deploy anywhere, swap anything. Written in Rust with extreme performance focus โ the infrastructure layer for self-hosted AI agents.

Tiny, fast, and deployable anywhere. Ultra-efficient AI assistant written in Go by Sipeed. Designed for edge devices and resource-constrained environments. Inspired by NanoBot.

Lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail. Built on Anthropic Agents SDK with memory and scheduled jobs.

NVIDIA official reference stack for running OpenClaw securely inside NVIDIA OpenShell sandbox. Managed inference with Nemotron open-source models. Essential for labs running autonomous agents on GPU servers.

Rust implementation of OpenClaw focused on privacy and security. Memory-safe architecture with Rust's ownership model, built by NEAR AI. Ideal for sensitive research environments requiring data isolation and high performance.

Open Agent Harness from HKUDS (NanoBot team). Runtime environment and execution framework for AI agents. 615 stars in 1 day.

Fastest, smallest, fully autonomous AI assistant infrastructure written in Zig. Part of the Null ecosystem (NullHub UI, NullWatch observability, NullTickets task tracking). Extreme performance with minimal resource footprint.

Autonomous harness engineering. Self-configuring agent runtime that adapts to your workflow. 560 stars in 24 hours.

Edge-Cloud Collaborative AI Agent built on OpenClaw โ bringing the Claude Code experience to open source. v2.0 features ClawXMemory (multi-layered structured long-term memory with proactive reasoning) and ClawXRouter (LLM-as-Judge cost-saving router achieving 58% savings). Three-tier privacy (S1 Passthrough / S2 Desensitization / S3 Local), visual Dashboard, zero-config setup. By THUNLP, RUC, OpenBMB.

Agentic AI assistant built with Rust. Runs on <1MB RAM targeting $2-5 MCU hardware like ESP32. The smallest member of the Claw family for sensor-level embedded AI.

Faster and lighter OpenClaw alternative written in Go. Focused on speed, simplicity, and low resource usage. Quick to deploy for researchers who want minimal setup overhead.

Multi-agent orchestration inspired by China's Imperial Three Departments and Six Ministries system. 9 specialized AI agents with real-time dashboard, model config, and full audit trails. You are the Emperor โ issue edicts, your AI ministers execute.

Desktop app providing a graphical interface for OpenClaw AI agents. Turns CLI-based AI orchestration into a visual desktop experience without using the terminal.

TypeScript multi-agent framework. One runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs. 4K stars in 4 days.

Agent optimization framework from HKUDS (NanoBot team). Makes agents smarter, lower-cost, and self-evolving. Useful for improving any science agent's performance over time.

Agent Swarm Intelligence โ one command, full automation. Agents spawn swarms, delegate tasks, and deliver results. Supports Claude Code, Codex, OpenClaw, nanobot, Cursor. From HKUDS (nanobot team).

Collaborative Multi-Agent OS by Alibaba. Transparent, human-in-the-loop task coordination via Matrix rooms. Open-source agent team orchestration for enterprise workflows.
Open-source managed agents platform. Turn coding agents into real teammates โ assign tasks, track progress, compound skills. Agents show up on boards, post comments, report blockers autonomously. Works with Claude Code, Codex, OpenClaw. Self-hosted or cloud (multica.ai).

Self-learning agent that evolves from every conversation. LoRA-based continual learning + reinforcement learning, no GPU cluster needed. Supports OpenClaw, NanoBot, PicoClaw backends.

Agent teams orchestrator for One Person Company. Coordinate multiple specialized agents for solo founders and indie researchers. Formerly TinyClaw.

OpenClaw for Teams. Multi-agent collaboration with persistent identity, long-term memory, and autonomous 'Aware' consciousness system. 6 trigger types: cron, once, interval, poll, on_message, webhook.
ClawTeam fork with deep OpenClaw integration. Default openclaw agent, per-agent session isolation, exec approval auto-config, production-hardened spawn backends. All upstream fixes synced.
The ultimate OpenClaw harness. Browser-based setup wizard, self-healing watchdog, Git-backed rollback, multi-agent management, prompt hardening, and one-click Railway/Render deploy. 892 stars, 440 tests. Zero SSH rescue missions.

Kubernetes-first control plane for managing OpenClaw and Linux desktop runtimes at team and cluster scale. Web UI for multi-instance orchestration.

24/7 supervisor Agent for Codex CLI and Claude Code CLI. Keeps agents running, reviewing, and planning until the job is actually done. Useful for overnight experiments and long-running analysis tasks.

Conversational command center for scientific agent teams. From SJTU SAI Agents. Orchestrate multiple research agents through natural language dialogue.
Self-evolving multi-agent AI research system. 6 sub-agents (plan, research, code, debug, analyze, write) for end-to-end scientific discovery. #1 on DeepResearch Bench II. ICAIS 2025 Best Paper Award.

Operating layer for LabOS โ Stanford-Princeton AI Co-Scientists project. Automated scientific co-discovery workflows for laboratory research.

AI research assistant for biomedicine built on Claude Code with 140 K-Dense scientific skills. Real-time research dashboard, RStudio (:8787), JupyterLab (:8888), and Feishu rich card output.

The first bioinformatics-native AI agent skill library. Local-first, reproducible, built on OpenClaw. Covers genomics, population genetics, and equity-focused bioinformatics workflows.

AI-powered bioinformatics research assistant built on OpenClaw. Integrates PubMed literature search and PyMOL molecular visualization for streamlined biological research workflows.
Open-source self-evolving personal health copilot. Medical consultation support, meal planning, report interpretation, chronic-care follow-up, wearable data analytics. Supports clinical data, medical imaging, and omics evidence. Streamlit + Feishu + CLI.

Self-evolving multimodal agent platform for biomedical research. From Princeton/Stanford/UCLA. Published on bioRxiv and arXiv. Live demo at stella-agent.com.

Multi-omics AI analysis tool from TianGz Lab. Focused on genomics, transcriptomics, and proteomics data processing with intelligent agent workflows.

General-purpose biomedical AI agent from Stanford SNAP Lab. Broad coverage across biomedical tasks with a unified agent architecture.

Evolvable, distributed agent framework for data science from the dynamo/Spateo team. Specialized in single-cell and spatial transcriptomics workflows.

An AI agent for fully automated multi-omic analyses. Supports RNA-seq, scRNA-seq, spatial transcriptomics, WGS/WES, and ChIP-seq with automated code repair.

AI CompBio agent that autonomously analyzes biological data and generates new insights. From Stanford Zou Group. Published in Nature Methods. Specializes in scRNA-seq with self-debugging and hypothesis generation.

An AI agent for spatial biology by Genentech. Processes multimodal spatial genomics data for research insights.

LLM agent for CRISPR genome engineering. Assists with guide RNA design, experiment planning, and protocol optimization.

AI agent system for various bioinformatics tasks with specialized agent coordination. From the same group as POPGENAGENT.

Pioneering chemistry AI agent (2023) from ur-whitelab. LangChain-based, cited in official docs. The foundational project that inspired MDCrow and the broader science agent movement.

A virtual lab of LLM agents for science research. Multi-agent system for nanobody design with principal investigator agent coordination.

Molecular dynamics simulations with an LLM agent. Automates simulation setup, execution, and analysis using natural language.

Self-evolving virtual disease biologist for mechanism-guided therapeutic target discovery. Automates disease mechanism analysis and drug target identification.
Agentic RAG for drug intelligence: 57 skills, 15 task categories โ DTI, ADR, DDI, pharmacogenomics, repurposing. Powered by LangGraph.

Agentic framework for computational chemistry and materials science workflows. From Argonne National Laboratory (ALCF). Orchestrates chemistry simulation pipelines.

Multi-agent platform for pharmaceutical R&D. Covers drug discovery, drug development, and clinical pipeline automation. Built by VirtualPatientEngine.
AI Research Assistant for Accelerated Drug Discovery. Built with Rust for high performance. Covers compound screening, ADMET prediction, and lead optimization workflows.
Omniscient multi-modal agentic workspace for scientific discovery. Cheminformatics (RDKit), protein folding (ESMFold), molecular docking, autonomous RAG. XML-Regex dual-track routing, runtime sandbox for data visualization. From Beijing 1st Biotech + PLA General Hospital.
By Andrej Karpathy. Give an AI agent a small but real LLM training setup and let it experiment autonomously overnight. Single GPU, ~100 experiments/night. Works with Claude Code, Codex, or any agent.
Tongyi Deep Research by Alibaba. Leading open-source deep research agent (30.5B params, 3.3B activated). State-of-the-art on Humanity's Last Exam, BrowseComp, and 4 more benchmarks. ReAct and IterResearch inference modes.

Microsoft R&D automation platform. AI-driven data and model research โ automates hypothesis generation, experiment design, and iterative improvement for industrial and scientific R&D.
End-to-end autonomous research workflow: Literature Review โ Experimentation โ Report Writing. Specialized LLM agents collaborate via arXiv, HuggingFace, Python, LaTeX. Includes AgentRxiv for cumulative cross-agent research.

Workshop-level automated scientific discovery via agentic tree search. By Sakana AI. Autonomously generates research papers through iterative hypothesis testing and experimentation.

Autonomous scientific innovation system from HKUDS. NeurIPS 2025 paper. End-to-end research automation: literature review, hypothesis generation, experiment design, and paper writing. Production version at novix.science.

AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Full research pipeline from question to publication-ready report.
Open-source, cost-efficient alternative to OpenAI's Deep Research, built on AutoAgent framework by HKUDS. Universal LLM support (OpenAI, Anthropic, DeepSeek, vLLM, Grok). One-click launch.

Open-source alternative to OpenAI's Prism. Unified platform for AI-powered paper reading, learning, and research knowledge management.

Autonomous AI research assistant built on NanoBot. From idea to paper with automated literature review, experiment design, and writing.

Self-evolving AI research agent by the EurekaClaw team. Autonomous scientific discovery with persistent memory and tool-use capabilities.
Fully open agentic LLM (30B-A3B) for long-horizon deep research by TIGER-AI-Lab. 54.8% on BrowseComp-Plus, surpassing GPT-4.1, Claude-Opus-4, Gemini-2.5-Pro. Open dataset (96K trajectories), model, and training code. Adopted by NVIDIA Nemotron.
Personalized multi-agent system that researches 24/7 on your scientific problem. From hypothesis generation through experimentation to publication-ready manuscripts. Dynamic workflows, fully customizable agents, human-in-the-loop.
A self-hostable AI research workspace with grounded chat, paper study tools, and scientific skill execution โ all anchored to your local files.
AI Scientist Ecosystem by Tsinghua FIB Lab and Zhongguancun Academy. 7 core papers covering co-evolving ecosystem, expert knowledge integration, high-impact research question identification, and automated experiment design.
Autonomous research framework from University of Chicago Human+AI Lab. Input a title, domain, and hypothesis โ agents handle literature review, experiment design, code execution, analysis, and LaTeX paper writing. Supports Claude Code, Codex, and Gemini CLI. IdeaHub platform for community research ideas. Docker-ready, domain-agnostic.
Beautifully minimal design: just a hypothesis in, full paper out. The IdeaHub integration is clever โ a community platform where anyone can submit research ideas for agents to explore. One of the few frameworks that truly treats the AI as a co-scientist, not just a code generator.

Autonomous Generalist Scientist โ AI agent targeting all scientific fields. Broad-scope autonomous research from hypothesis to verification.
Auto-Research-In-Sleep โ let Claude Code do research while you sleep. Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, experiment automation. Zero dependencies, works with OpenClaw, Codex, or any LLM agent.

Local-first AI research studio. 15-minute setup, one repo per research quest, visible progress, human takeover anytime. Published at ICLR 2026.

Let Agents Design Agents. A meta-framework where AI agents create, test, and evolve new skills and agents autonomously. Unlike traditional skill libraries, the skills here are machine-authored.
A genuinely novel approach: instead of humans writing skills for agents, agents write skills for agents. Worth watching as a preview of where the entire ecosystem is heading.

AI Research IDE with built-in "AI Doctors" assistants. Full research lifecycle: Survey โ Ideation โ Experiment โ Publication โ Promotion. 100+ research skills, auto pipeline planning, real-time task tracking, LaTeX rendering, Git integration. PWA-ready.

Self-evolving AI research colleague. 285 skills that grow at runtime โ the agent writes new skills based on your usage patterns. 4-layer persistent memory with LanceDB, 1hr+ session timeout, zero-hallucination citation protocol.

Personal research assistant built with LangChain DeepAgents and AIO Sandbox. A new architecture beyond OpenClaw, offering stronger security, better transparency, and a more user-friendly experience.
Automated scientific discovery system by Allen AI. LLM-as-a-mutator generates experiment ideas from paper+code combinations, then creates, runs, and debugs experiments in containers. Writes reports and meta-analyses.

Fully autonomous multimodal research agent. Combines vision and text understanding for scientific discovery. Chinese academic origin with bilingual support.
A 7x24 AI research team for academics with 244 skills and 13 agent templates, designed to eliminate repetitive lab work so researchers can focus on thinking.

Open-source AI agent swarm for crowdsourced scientific discovery. 300+ interoperable tools, plannerless ArtifactReactor coordination, DAG lineage tracking. Agents self-coordinate across institutions via Infinite platform (lamm.mit.edu/infinite). Solving real problems: peptide binder design, ceramic discovery, cross-disciplinary pattern recognition. From MIT LAMM Lab (Markus Buehler). Genesis Mission backed.

AI scientist framework for autonomous deep research in biological sciences. Multi-agent system combining literature analysis with data scientist agents for iterative scientific discovery.

LLM-based AI agent for closed-loop design of genetic perturbation experiments. Autonomous reasoning for biological discovery.

Multi-agent workflow for statistical software development. Information-isolated agents: builder (no ground truth), simulator (no algorithm), tester (independent validation). Cambridge + Stanford.

Fully autonomous, self-evolving research framework: from a one-line idea to a conference-level paper. 23-stage pipeline with multi-agent debate, self-healing error correction, citation verification, and hardware-adaptive execution. Compatible with OpenClaw and MetaClaw.
Full-stack AI research assistant โ "In the AI era, why can't everyone be a PI?" Supports extensible skills, literature review, note-taking, experiment tracking, and paper writing end to end. 350+ plugins available.
Turning every citation into explainable impact. Citation analysis and impact assessment tool for academic research โ tracks citation networks, measures influence, and provides explainable bibliometric insights.
Personal AI assistant built for research. Fast setup, local or cloud, integrates with chat apps. Streamlines literature review, note-taking, experiment tracking, and paper writing end to end.
OpenClaw skill for paper search-review-critique expert-agent. Generates research workflows for specific topics (demo: Scientific ML and 3D geometry).
Agent that turns academic papers into publication-ready diagrams, posters, videos, and more. Visual research communication tool โ automates the creation of conference materials from your manuscripts.
[REMOVED] GitHub account deleted. Was: 27 OpenClaw skills for academic research teams โ literature reviews, hypothesis versioning, grant writing, lab knowledge handoffs. 141 stars at time of removal.
GitHub account meowscles69 was deleted on or before 2026-04-13. Repo and all code lost.
Self-hosted AI assistant for academic research โ manages papers, searches literature, tracks deadlines.
Standalone Electron desktop app combining AI-powered paper management, interactive reading notes, and research idea generation โ no browser or server required.
Transform your PDF paper library into a cross-referenced, queryable citation graph database. AI agents extract metadata, citations, and context from PDFs, then fuzzy-match across papers. Dual environment: Main (ingest) + Query (Haiku-powered, read-only). 41 commits, actively developed.

Open Multi-Agent Interactive Classroom by Tsinghua University. One-click immersive AI classroom with AI teachers and peers. Slides, quizzes, whiteboard, PBL. Published in JCST'26.
Multimodal math learning assistant for middle and high school. Solving workspace, weakness diagnosis, knowledge graphs, error graphs, auto-summaries. Supports WeChat, QQ, Feishu, Telegram, Discord. From Renmin University.
Real-world benchmarks for AI coding agents. 23 tasks across productivity, research, writing, coding, analysis, email, memory, and skills. Public leaderboard at pinchbench.com. Auto-grading + LLM judge. Tests what actually matters: tool usage, multi-step reasoning, and practical outcomes.
End-to-end evaluation suite for autonomous agents. 300 human-verified tasks across 9 categories (service orchestration, multimodal perception, multi-turn dialogue). Trajectory-aware grading over 2,159 rubrics. Tests Completion, Safety, and Robustness. Used by Qwen, GLM, MiniMax.
Benchmark for evaluating whether AI agents can independently conduct scientific research. 40 real-science tasks across 10 disciplines (Astronomy, Chemistry, Physics, Life, etc.), two-stage pipeline (autonomous research + LLM peer-review scoring), expert-annotated checklists. Score 50 = match human paper, 70+ = surpass it. Supports Claude Code, Codex CLI, OpenClaw, NanoBot, EvoScientist. From Shanghai Jiao Tong University.
AI agent evaluation suite for bioinformatics. Benchmarks LLM agents on real bioinformatics tasks. Covers sequence analysis, genomics workflows, and computational biology pipelines. arXiv paper.
Safety benchmark for personal AI agents under realistic prompt injection. 120 adversarial test cases across 5 harm domains, 3 attack vectors, and 5 harmful action types. Tested Claude, Gemini, GPT-5.1, DeepSeek on OpenClaw/Nanobot/NemoClaw scaffolds. Key finding: chat safety โ agent safety.
Security scanner for Agent Skills โ the npm audit for the Agent-Native ecosystem. Scans for shell injection, hardcoded secrets, unpinned dependencies, excessive permissions, and prompt injection risks. Rust CLI with GitHub App integration. Inspired by the ClawHavoc incident (341 malicious skills).
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Explore curated AI agent skills from the OpenClaw and OmicsClaw ecosystems โ covering biology, omics, bioinformatics, and more.
A complete overview of 19+ projects, skill libraries, and tools for scientific research in the OpenClaw ecosystem.
AI agent tools for genomics, proteomics, transcriptomics, and multi-omics data analysis with 63+ skills.
How biologists use OpenClaw AI agent skills โ BioClaw, ClawBio, MedgeClaw, and more for life sciences research.
The best single-cell RNA-seq skills for AI agents across K-Dense, ClawBio, and the OpenClaw ecosystem.
Interactive visualization of 63 projects and their inheritance relationships โ from OpenClaw core to independent ecosystem.
How AI agents accelerate drug discovery โ from target identification to lead optimization with DrugClaw, MolClaw, and more.
Common questions about the OpenClaw science ecosystem.