Inspiration
LLM agents are powerful, but production requires visibility and checkpoints—especially before irreversible steps. OsanoAI brings humans into the loop without sacrificing orchestration power.
What it does
OsanoAI takes a task, refines it, plans specialist worker phases, runs each batch in parallel, then pauses for human approval before advancing. You get a live plan, per-agent context, an activity trace, approval flags from workers, and a merged result—all streamed via SSE.
How we built it
Cursor, Typescript, React, Clod
Challenges we ran into
We encountered difficulties in testing the correctness of the agents.
Built With
- css
- cursor
- react
- typescript
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