CocoIndex: Incremental Data Layer for AI Agents (Rust + Python)

CocoIndex is an open-source incremental data framework — Rust core, Python API, PostgreSQL-backed state — that keeps your AI agent's indexes continuously fresh. Only the delta gets reprocessed when sources change. Sub-second freshness on codebases, meeting notes, Slack, PDFs, video. v1.0.3 just shipped. In this video we walk the site, the install, the dataflow programming model, the incremental engine, and the source/target connector matrix that puts CocoIndex one layer below LangChain / LlamaIndex / Haystack. 0:00 Your agent's data is stale 0:13 Walking the project site 1:14 Where CocoIndex actually sits 2:15 Install and the three commands 2:59 A pipeline in 8 lines of Python 3:50 Why incremental matters 4:53 Sources and targets 6:00 By the numbers 6:53 Your agents deserve fresh context 7:53 Wrap Site: https://cocoindex.io/ Repo: https://github.com/cocoindex-io/cocoindex Install: pip install -U cocoindex — Prism Labs · @prismlabsai