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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824
| Date | Stars |
|---|---|
| 2026-07-31 | 556 |
| 2026-08-06 | 557 |
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# Kosmos
An autonomous AI scientist for scientific discovery, implementing the architecture described in [Lu et al. (2024)](https://arxiv.org/abs/2511.02824).
[](https://github.com/jimmc414/Kosmos)
[](https://github.com/jimmc414/Kosmos)
[](archive/PAPER_IMPLEMENTATION_GAPS.md)
[](archive/120625_code_review.md)
## What is Kosmos?
Kosmos is an open-source implementation of an autonomous AI scientist that can:
- **Generate hypotheses** from literature and data analysis
- **Design experiments** to test those hypotheses
- **Execute code** in sandboxed Docker containers
- **Validate discoveries** using an 8-dimension quality framework
- **Build knowledge graphs** to track relationships between concepts
The system runs autonomous research cycles, generating tasks, executing analyses, and synthesizing findings into validated discoveries.
## Quick Start
### Requirements
- Python 3.11+
- Anthropic API key or OpenAI API key
- Docker (recommended for code execution)
Without Docker, code runs via `exec()` with static validation. See "Code Execution Security" below.
### Installation
```bash
git clone https://github.com/jimmc414/Kosmos.git
cd Kosmos
pip install -e .
cp .env.example .env
# Edit .env and set ANTHROPIC_API_KEY or OPENAI_API_KEY
```
### Verify Installation
```bash
# Run smoke tests
python scripts/smoke_test.py
# Run unit tests
pytest tests/unit/ -v --tb=short
```
### Run Research Workflow
```python
import asyncio
from kosmos.workflow.research_loop import ResearchWorkflow
async def run():
workflow = ResearchWorkflow(
research_objective="Your research question here",
artifacts_dir="./artifacts"
)
result = await workflow.run(num_cycles=5, tasks_per_cycle=10)
report = await workflow.generate_report()
print(report)
asyncio.run(run())
```
### CLI Usage
```bash
# Run research with default settings
kosmos run "What metabolic pathways differ between cancer and normal cells?" --domain biology
# With budget limit
kosmos run "How do perovskites optimize efficiency?" --domain materials --budget 50
# Interactive mode (recommended for first time)
kosmos run --interactive
# Maximum verbosity
kosmos run "Your question" --domain biology --trace
# Real-time streaming display
kosmos run "Your question" --stream
# Streaming with token display disabled
kosmos run "Your question" --stream --no-stream-tokens
# Show system information
kosmos info
# Run diagnostics
kosmos doctor
```
## Features
### Core Capabilities
| Feature | Description | Status |
|---------|-------------|--------|
| Research Loop | Multi-cycle autonomous research with hypothesis generation | Complete |
| Literature Search | ArXiv, PubMed, Semantic Scholar integration | Complete |
| Code Execution | Docker-sandboxed Jupyter notebooks | Complete |
| Knowledge Graph | Neo4j-based relationship storage (optional) | Complete |
| Context Compression | Query-based hierarchical compression (20:1 ratio) | Complete |
| Discovery Validation | 8-dimension ScholarEval quality framework | Complete |
| Multi-Provider LLM | Anthropic, OpenAI, LiteLLM (100+ providers) | Complete |
| Budget Enforcement | Cost tracking with configurable limits and enforcement | Complete |
| Error Recovery | Exponential backoff with circuit breaker | Complete |
| Debug Mode | 4-level verbosity with stage tracking | Complete |
| Real-time Streaming | SSE/WebSocket events, CLI --stream flag | Complete |
### Code Execution Security
AI-generated code runs in isolated Docker containers:
| Layer | Implementation |
|-------|---------------|
| Container Isolation | `--cap-drop=ALL`, no privileged access |
| Network | Disabled (`--network=none`) |
| Filesystem | Read-only root,Excerpt of 14,474 characters
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Claude · @anthropics
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c2ab0ab0abf712bc, llm:Repository description: 'Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper (https://arxiv.org/abs/2511.02824)'. Language: Python.
matched fp:c2ab0ab0abf712bc, llm:Repository description: 'Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper (https://arxiv.org/abs/2511.02824)'. Language: Python.
matched fp:c2ab0ab0abf712bc, llm:Repository description: 'Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper (https://arxiv.org/abs/2511.02824)'. Language: Python.