Agentic Research Directory

Tool University of Rochester

ChemCrow

LLM chemistry package integrating expert tools for reasoning-intensive chemical tasks.[3]

L3Multi-step tool-using agentic workflow (workflow level, not a quality rating) Source: Repository-documented Outcome: Not empirically evaluated here

Research applicability

LLM chemistry package integrating expert tools for reasoning-intensive chemical tasks.[3]

Getting started

Clone the public repository, configure model and tool credentials (including RXN4Chem for reaction tools), and review outputs with a chemist before acting on them.

Maintenance

Retrieved repository showed latest commit dated 2024-12-19; service dependencies may have changed.

License

MIT repository license; re-check dependency and data licences before adoption; no independent license audit performed.

Workflow & human oversight

L3 reflects the documented multi-step tool-using design; humans supervise, safety-check and validate results.

Workflow level is not an evidence score; higher is not better evidence.

Approach

An LLM agent composed with chemistry tools (the default reaction tooling requires RXN4Chem access) to plan and reason over chemical tasks.[3]

Limitations

Repository documentation checked, not experimental runs; reaction suggestions need expert safety and feasibility assessment. No software execution or independent performance validation.

Reproducibility

Stored primary-source extract research-wide/candidate-evidence-007.md, accessed 2026-10-15, read for this review. No software, model or claimed outcome reproduced.

Adoption requirements

Python and model API credentials; default reaction tools require RXN4Chem access.

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