Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for developers who want a Rust-based, self-hosted terminal agent tuned for cheap open-weight models instead of paying for a hosted agent, and who are willing to keep it on authorized local code while the Rust runtime matures.
Who should use it
Who should skip it
Move on from openinterpreter/openinterpreter if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
openinterpreter/openinterpreter is tracked by RepoRadar as a coding agent in the AI Coding section. It was first seen on 2026-06-30 and last updated on 2026-06-30. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. openinterpreter/openinterpreter leads on workflow potential (9.6) and open-source/build quality (8.4); its lowest signal is setup ease (6.4), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned openinterpreter/openinterpreter a composite score of 8.5 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
It runs shell and code execution locally on your machine, so keep first evaluation on projects without secrets in the working tree and review what `/harness` enables before switching modes; The Python original moved to a community fork at endolith/open-interpreter; if you need the long-running Python install path, confirm you are using the right upstream before adopting the Rust binary.