cocoindex-io / cocoindex

Your agents deserve fresh context. 
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 CocoIndex turns codebases, meeting notes, inboxes, Slack, PDFs, and videos into live, continuously fresh context for your AI agents and LLM apps to reason over effectively — with minimal incremental processing. Get your production AI agent ready in 10 minutes with reliable, continuously fresh data — no stale batches, no context gap
 Incremental · only the delta  ·  Any scale · parallel by default  ·  Declarative · Python, 5 min
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 Built with CocoIndex ❤️ 
 See all 20+ examples · updated every week → 
 Get started 
 [code] 
Declare *what* should be in your target — CocoIndex keeps it in sync forever, recomputing only the Δ.
 [code] 
 Run once to backfill. Re-run anytime — only the changed files re-embed. 
 Building with an AI coding agent? 
 Drop in our CocoIndex skill so your agent writes correct v1 code — concepts, APIs, patterns, all in one file. 
 See Use with AI coding agents for install steps. 
 React — for data engineering 
 See the React ↔ CocoIndex mental model → 
 Incremental engine for long-horizon agents 
 Data transformation for any engineer, designed for AI workloads — 
 with a smart incremental engine for always-fresh, explainable data. 
 Why incremental? 
 Your agents are only as good as the data they see. Batch pipelines drift stale. CocoIndex stays live — and only runs the Δ. 
 What can you build? 
 See all 20+ examples · updated every week → 
 Working starters from the examples tree — clone, plug your source, ship. 
 Building something with CocoIndex? We want to see it. Tag @cocoindex_io on X or drop a link in #showcase on Discord. We'll boost it. 🥥 
 Community 
 We are so excited to meet you. 
 Every typo fix, new connector, doc tweak, or full-on rewrite makes CocoIndex better. 
 Come hang out — big PRs and small ones, both welcome.
 📝 Read the contributing guide  · 
 🐛 good first issues  · 
 💬 Say hi on Discord 
 CocoIndex Enterprise 
 Large corpus — built for enterprise scale. 
 Incremental compute is the only way to keep large corpora fresh without re-embedding them every cycle. 
 CocoIndex scales from a single repo to petabyte-scale stores — parallel by default, delta-only by design.
 Process once. Reconcile forever. 
 When a source changes, CocoIndex identifies the affected records, propagates the change 
 across joins and lookups, updates the target, and retires stale rows — 
 without touching anything that didn't change.
 Built on a Rust engine. 
 The core is Rust — production-grade from day zero. 
 Parallel chunking, zero-copy transforms where possible, and failure isolation 
 so one bad record doesn't stall the flow.
 Apache 2.0 · © CocoIndex contributors 🥥