The OpenClaw Ecosystem for Scientific Research

Discover AI agent projects built on OpenClaw for bioinformatics, biomedicine, data science, and multi-agent learning — from lightweight assistants to self-evolving research systems.

OpenClaw Ecosystem Projects

From the full-featured core platform to ultra-lightweight edge agents, from self-evolving research systems to multi-omics pipelines.

Core Platform & Lightweight Variants

The Claw family at every scale
OpenClaw

OpenClaw

323K

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.

ai-assistantmulti-platformvoicecanvas
TypeScript
NanoBot

NanoBot

34.7K

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.

lightweightmulti-modelMCPsub-agents
Python
ZeroClaw

ZeroClaw

27.9K

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

infrastructureautonomousdeploy-anywhereRust
Rust
PicoClaw

PicoClaw

25.4K

Go-based agent running on $10 hardware. <10MB RAM, <1s boot time. 99% less memory than OpenClaw. Supports x86_64, ARM64, MIPS, RISC-V, and LoongArch architectures.

edgeIoTRISC-Vtiny
Go
NanoClaw

NanoClaw

24.2K

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.

containersecureAnthropic-SDKlightweight
TypeScript
MicroClaw

MicroClaw

576

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.

embeddedMCUESP32rust
Rust
EdgeClaw

EdgeClaw

155

Edge-Cloud Collaborative AI Assistant built on OpenClaw. Three-tier privacy system (Passthrough/Desensitization/Local) with dual-engine edge detector. Keeps sensitive data local while routing 80% of requests to cost-effective cloud models. By THUNLP, RUC, OpenBMB.

edge-cloudprivacyTsinghuaOpenBMB
TypeScript
PythonClaw

PythonClaw

17

OpenClaw reimagined in pure Python. Autonomous AI agent with memory, RAG, skills, web dashboard, voice input, and multi-channel support (Telegram, etc.).

pure-PythonRAGmemoryvoiceweb-dashboard
Python
Early Stage

Team & Evolution

Multi-agent collaboration and self-learning
ClawX

ClawX

4.9K

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

desktopGUIagent-orchestrationvisual
TypeScript
MetaClaw

MetaClaw

1.9K

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

meta-learningLoRAself-evolvingRL
Python
Clawith

Clawith

1.6K

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.

teamsmulti-agentawarenessFastAPI
Python

Science & Research

AI agents for scientific discovery
EvoScientist

EvoScientist

1K

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.

AI4Sciencemulti-agentauto-researchaward-winning
Python
MedgeClaw

MedgeClaw

912

AI research assistant for biomedicine. Built on OpenClaw + Claude Code with 140 K-Dense Scientific Skills. Covers RNA-seq, drug discovery, clinical analysis. Integrated RStudio & JupyterLab.

biomedicineRNA-seqdrug-discoveryclinical
TeX
LabClaw

LabClaw

762

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

StanfordPrincetonlab-automationco-discovery
ClawBio

ClawBio

453

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

bioinformaticsgenomicslocal-firstreproducible
Python
BioClaw

BioClaw

221

AI-powered bioinformatics research assistant built on OpenClaw. Integrates PubMed literature search and PyMOL molecular visualization for streamlined biological research workflows.

bioinformaticsPubMedPyMOLresearch-assistant
TypeScript
OmicsClaw

OmicsClaw

64

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

omicsgenomicsproteomicsbioinformatics
Python
MedClaw

MedClaw

8

Early-stage medical AI project exploring agent-based approaches for clinical decision support and medical data analysis.

medicalclinicalearly-stage
Python
Early Stage
MolClaw

MolClaw

6

Light, practical, memory-enabled AI orchestrator for science. Built on NanoClaw. Adds OpenAI/OpenRouter providers, Discord/WhatsApp channels, runtime skills, durable session memory, and real-time agent execution dashboard.

molecularbioinformaticsNanoClaw-forkdashboard
TypeScript
Early Stage

Education

AI-powered interactive learning
OpenMAIC

OpenMAIC

7.6K

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.

Tsinghuaclassroommulti-agentPBL
TypeScript

Bioinformatics & Omics

Agents for genomics, transcriptomics, single-cell analysis, and multi-omics workflows
AutoBA

AutoBA

222

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.

multi-omicsRNA-seqspatial-transcriptomicsself-debugging
Python
CellVoyager

CellVoyager

154

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.

StanfordNature MethodsscRNA-seqautonomous-analysis
Python
SpatialAgent

SpatialAgent

153

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

spatial-biologygenomicsmultimodalGenentech
Python
CRISPR-GPT

CRISPR-GPT

147

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

CRISPRgene-editingguide-RNA
Python
BioMaster

BioMaster

89

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

bioinformaticsmulti-agentnucleome
Python
CellAgent

CellAgent

12

LLM-driven multi-agent framework for automated scRNA-seq analysis. Three-role architecture: Planner, Executor, and Evaluator for single-cell RNA sequencing workflows.

scRNA-seqmulti-agentplanner-executorsingle-cell
Python
Early Stage
PopGenAgent

PopGenAgent

9

Tool-aware, reproducible, report-oriented AI workflows for population genomics. Template-driven execution with publication-quality figures, full provenance tracking, and cost-aware LLM routing.

population-geneticsgenomicsreproduciblereport-generation
Python
Early Stage
CARIBOU

CARIBOU

2

Computational AI Research Interface for Bioinformatics, Omics, and Unifying Agents. Multi-agent bioinformatics system by OpenTechBio.

bioinformaticsomicsmulti-agentearly-stage
Jupyter Notebook
Early Stage

Drug Discovery & Molecular

Agents for drug R&D, molecular dynamics, computational chemistry, and protein engineering
Virtual Lab

Virtual Lab

649

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

multi-agentnanobody-designprotein-engineeringStanford
Python
MDCrow

MDCrow

230

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

molecular-dynamicssimulationcomputational-chemistry
Python
ChemGraph

ChemGraph

79

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

Argonnechemistrymaterials-sciencesimulation
Python
AIAgents4Pharma

AIAgents4Pharma

71

Multi-agent platform for pharmaceutical R&D. Covers drug discovery, drug development, and clinical pipeline automation. Built by VirtualPatientEngine.

pharmadrug-discoverydrug-developmentclinical-pipeline
Python

General Research Agents

Cross-domain agents for autonomous paper writing, experiment automation, and R&D workflows
RD-Agent

RD-Agent

11.9K

Microsoft R&D automation platform. AI-driven data and model research — automates hypothesis generation, experiment design, and iterative improvement for industrial and scientific R&D.

MicrosoftR&D-automationdata-drivenindustrial
Python
AutoResearchClaw

AutoResearchClaw

7180

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.

idea-to-paperself-evolving23-stagecitation-verificationOpenClaw-compatible
Python
AI-Researcher

AI-Researcher

4.9K

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.

NeurIPS-2025autonomouspaper-writingHKUDS
Python
AI-Scientist-v2

AI-Scientist-v2

2.3K

Sakana AI's autonomous scientific discovery system. Workshop-level paper generation via agentic tree search. End-to-end: idea → experiment → paper. Successor to the 10K-star AI-Scientist v1.

Sakana-AIpaper-generationagentic-tree-searchautonomous
Python
DATAGEN

DATAGEN

1.7K

AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Full research pipeline from question to publication-ready report.

hypothesis-generationdata-analysisreport-writingmulti-agent
Python
Dr. Claw

Dr. Claw

576

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

research-IDEmulti-agentLaTeXPWAfull-lifecycle
JavaScript
OpenAGS

OpenAGS

43

Autonomous Generalist Scientist — AI agent targeting all scientific fields. Broad-scope autonomous research from hypothesis to verification.

generalistautonomousall-scienceshypothesis-to-verification
Python
Early Stage
Open Co-Scientist

Open Co-Scientist

16

Open-source adaptation of Google DeepMind's AI Co-Scientist. Generates, reviews, ranks, and evolves research hypotheses using multi-agent architecture.

Google-DeepMindhypothesis-evolutionmulti-agentopen-source
Python
Early Stage

Specialized Science

Domain-specific agents for biological discovery, equation finding, and multimodal research
OpenLens AI

OpenLens AI

249

Fully autonomous multimodal research agent. Combines vision and text understanding for scientific discovery. Chinese academic origin with bilingual support.

multimodalautonomousvision+textbilingual
Python
BioAgents

BioAgents

114

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

biologyliterature-analysisdata-scienceiterative-discovery
TypeScript
BioDiscoveryAgent

BioDiscoveryAgent

99

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

genetic-perturbationexperiment-designStanford
Python
SR-Scientist

SR-Scientist

35

Scientific equation discovery with agentic AI. Published at ICLR 2026. Symbolic regression via AI agents from GAIR Lab (Shanghai Jiao Tong University).

ICLR-2026equation-discoverysymbolic-regressionSJTU
Python
Early Stage
GeneClaw

GeneClaw

29

Self-evolving AI agent framework with 5-layer safety gatekeeper. Agents observe failures, propose fixes, and safely apply them. Built on HKUDS/nanobot.

Editor's note: Despite the name suggesting genomics or biology, this project is a generic self-evolving agent framework with no scientific research capabilities. The "Gene" in GeneClaw refers to evolutionary/genetic algorithms, not genomics.
self-evolvingsafetynanobot-based
Python
Misleading

The Claw Ecosystem in Numbers

A rapidly growing family of AI agent projects powering scientific research worldwide.

450K+ Total GitHub Stars

450K+

Total GitHub Stars

45+ Core Projects

45+

Core Projects

5 Programming Languages

5

Programming Languages

Science-Focused AI Agent Stack

How the Claw ecosystem empowers researchers across disciplines:

1

Automated Literature Review

EvoScientist's research sub-agent scans, summarizes, and synthesizes papers — generating comprehensive literature reviews autonomously.

2

Omics Data Analysis

OmicsClaw and MedgeClaw process RNA-seq, proteomics, and clinical data through intelligent pipelines with RStudio and JupyterLab integration.

3

Interactive AI Classrooms

OpenMAIC transforms any topic into a multi-agent classroom with AI teachers, quizzes, whiteboard illustrations, and project-based learning.

4

End-to-End Paper Generation

From hypothesis to publication — EvoScientist's 6-agent pipeline plans, codes, analyzes, and writes research papers with human-on-the-loop oversight.

Frequently Asked Questions

Common questions about the OpenClaw science ecosystem.









Explore the Claw Ecosystem for Science

Find the right AI agent for your research workflow.

Claw4Science - AI Agent Ecosystem for Scientific Research