Claw AI Lab: Autonomous Multi-Agent Research Team
One dashboard. An entire research team.
Instant Onboarding
One Script.
Fully Staffed.
Clone, install, and launch. Your PI Dashboard opens immediately, waking up your virtual VLM experts, coding specialists, and peer reviewers.
pi@local:$ git clone https://github.com/Claw-AI-Lab/Claw-AI-Lab.git
pi@local:$ cd Claw-AI-Lab && ./start.sh
> Booting Claw AI Lab Core...
> Initializing 5 Research Agents [OK]
> Connecting to local GPU sandbox [OK]
✓ PI Dashboard ready → http://localhost:5903
Waiting for Principal Investigator input...
Lab Organization
5-Layer Hierarchical Pipeline
Multiple lobster agents work concurrently across every layer. Artifacts flow downward through FIFO queues while L4 execution results feed back to L1 for iterative refinement.
Literature Review → Synthesis → Hypothesis Generation
Experiment Design, Baselines, and Ablation Strategies
Code Search → Generation → Environment Setup
Execution → Log Analysis → Empirical Refinement
Drafting → Auto-Figures → Peer Review
terminal Claw-Code Harness
A built-in execution harness for code tasks: spin up isolated runs, capture logs, and feed verified results back into the agent loop for fast iteration.
person Human-in-the-Loop
Quality gates with rollback at key pipeline stages. Live feedback panel targets any layer at any time. LLM auto-classifies input intent.
groups Lab Member System
Build your own research team — N parallel agents per angle. e.g., an Embodied AI lab with VLM, World Model, VLA specialists running concurrently — or any custom research domain.
auto_stories Intelligent Manuscript Drafting
Assists in drafting structured papers with publication-ready figures. Automatically renders framework diagrams and experiment charts featuring mandatory error bars and robust anti-fabrication verification.
Feature Spotlight
The Power of Consensus
Multi-Agent Discussion transforms isolated findings into unified research consensus.
Video world models + MPC planning is the most deployable path. VLMPC grounding enables online re-planning with safety constraints. Human video → robot action transfer creates data moat opportunities.
Disagree on priority. UVA paradigm — train with video, infer with action — is more practical. ECoT-style explicit reasoning enables human diagnostics in production.
Both overlook the easiest landing: step understanding + anomaly detection — no robot control needed. Action anticipation is a practical middle ground.
Resolved as sequential dependency: step understanding → video-action policy → world-model planning. 3 contradictions resolved, 5 testable hypotheses, 9 research directions.
Video world models + MPC planning is the most deployable path. VLMPC grounding enables online re-planning with safety constraints. Human video → robot action transfer creates data moat opportunities.
Disagree on priority. UVA paradigm — train with video, infer with action — is more practical. ECoT-style explicit reasoning enables human diagnostics in production.
Both overlook the easiest landing: step understanding + anomaly detection — no robot control needed. Action anticipation is a practical middle ground.
Resolved as sequential dependency: step understanding → video-action policy → world-model planning. 3 contradictions resolved, 5 testable hypotheses, 9 research directions.
Capabilities
Core Features
Multi-Task Parallel
Multiple research topics run simultaneously. Each task gets its own agent swarm and resource allocation across the full pipeline.
Multi-Agent Discussion
3-round debate with cross-vendor LLMs. Cross-project pairing for interdisciplinary insights.
Custom Lab Members
Define custom expert personas for any research domain — e.g., an Embodied AI team with VLM / World Model / VLA specialists, or any other angles you need.
GPU Orchestration
Multi-GPU allocation per project. Auto-release on completion. Queue gating when resources are scarce.
Human-in-the-Loop
Quality gates with rollback. Live chat feedback panel targets any layer at any time.
Auto Figures & Charts
Generates publication-ready figures and experiment comparison charts with error bars automatically.
Real-Time Dashboard
Live agent status visualization. CPU/GPU/memory monitoring. FIFO queue counters and log streaming.
User-Friendly UI
No complex operations needed. Submit a topic, monitor progress, and download papers — all from one clean web interface.