FOREST
View on GitHubFOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
FOREST is an AI research agent that takes a project from literature review and hypothesis formation through code execution, experiment analysis, and paper drafting. Its editable research graph preserves decisions and links claims and figures to evidence.
Use Cases
Built With
- Language
- Python
- Frameworks
- FastAPI · SQLAlchemy · scikit-learn
Tags
research-agent · scientific-research · autonomous-research · literature-review · hypothesis-generation · experiment-execution · evidence-tracking · paper-writing · research-graph · long-horizon-agents