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

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