The way AI agents get fresh context just changed forever.

AI agents constantly hit a wall: their context goes stale.

Every codebase update, new Slack message, or fresh PDF means rebuilding the entire pipeline from scratch.

Cocoindex is an open-source engine that fixes this.

It turns codebases, inboxes, meeting notes, videos, and docs into live context for agents to reason over.

The trick is incremental processing.

Only the changed data gets reindexed, not everything.

Embeddings, summaries, and knowledge graphs stay fresh in sub-seconds.

The engine works like React, but for data:

• Declare your desired output state

• Engine syncs with sources automatically

• Recomputes only the delta

• Handles long-running jobs reliably

You also get semantic search across functions and intent, call graph tracing to see blast radius before shipping, and architecture views across the whole repo.

Production-ready agents in 10 minutes. No stale batches.

Your agents finally stop lying.