head to head · open source
CocoIndex vs helix-foundry
CocoIndex has 11,772 GitHub stars, 922 forks, 83 open issues and last shipped yesterday. helix-foundry has 1,683 stars, 257 forks, 8 open issues and last shipped yesterday. CocoIndex leads on adoption by 599% (11,772 vs 1,683 stars). CocoIndex is written in Rust under Apache-2.0; helix-foundry is written in TypeScript under Apache-2.0. CocoIndex has attracted 8% as many forks as stars, helix-foundry 15%. helix-foundry was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| CocoIndex | helix-foundry | |
|---|---|---|
| GitHub stars | ★ 12K | ★ 1.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | TypeScript |
| Last push | 2026-10-28 | 2026-10-28 |
| Forks | ⑂ 922 | ⑂ 257 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick CocoIndex if
- You weight community size — 12K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick helix-foundry if
- You want the helix-foundry feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and helix-foundry fits your workflow better
About CocoIndex
Your agents deserve fresh context. Star us ❤️ → · · · 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 Deutsch English Español français 日本語 한국어 Português Русский 中文 Built with CocoIndex ❤️ <img src=" alt="CocoIndex code — flagship MCP server…
read the full CocoIndex overview →
About helix-foundry
Helix Foundry Connect your company's data, let an agent draft an ontology over it, and load it into HelixDB as one connected graph you can explore and ask questions of. Connect PostgreSQL, MySQL, Amazon S3, Stripe, PostHog, WorkOS, GitHub, Linear, Granola and Cal.com, and upload documents (Markdown, text, PDF) and table files (CSV, TSV, JSON, JSON Lines, Parquet). An agent drafts the ontology: types, links, the tables and documents each comes from, and rules. You review it, edit it and make a version current. A load writes the version into HelixDB. Explore it as a graph or as records, follow every value back to…
read the full helix-foundry overview →
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Frequently asked questions
Is CocoIndex or helix-foundry more popular?
CocoIndex has 11,772 GitHub stars and helix-foundry has 1,683. CocoIndex has the larger community by that measure.
Are CocoIndex and helix-foundry free?
Both are open source. CocoIndex is licensed under Apache-2.0 and helix-foundry under Apache-2.0. Neither carries a licence fee.
What is the difference between CocoIndex and helix-foundry?
CocoIndex is written in Rust and helix-foundry in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, CocoIndex or helix-foundry?
Choose CocoIndex if you want the larger community (11,772 stars) or its Apache-2.0 licence terms. Choose helix-foundry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.