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Kindex
The memory layer AI coding agents don't have.
A persistent knowledge graph for Claude Code, Codex, Gemini CLI, Antigravity, OpenCode, Cursor, and other AI-assisted workflows. 52 MCP tools, 75 CLI commands, 5 context tiers.
I build with AI coding agents all day across a dozen repos, and the thing that kept breaking wasn't capability — it was that every session started from zero. The agent re-learned the same architecture, re-asked the same constraints, re-made the same mistakes.
Existing memory tools mostly store transcripts and grep them. That didn't help, because the problem isn't recall — it's structure: what connects to what, what's load-bearing, what's stale. So Kindex is a weighted knowledge graph instead of a log. Typed nodes, edges with provenance that decay over time, and context tiers that adapt to whatever token budget you've got left instead of dumping everything in.
My team and I may not be able to tell a huge difference between modern coding agents, but we all know when Kindex isn't loaded. I can have agents collaborate on work across Kindex collab. I can take notes in one instance and act on them in another. Kindex will answer _why_ this line of code looks this way and the .kin knowledge can be shared and edited by your team automatically in the code repo.
It's free, MIT, runs local on SQLite, and works with Claude Code, Codex, Cursor, Gemini CLI, and anything MCP-capable. Happy to answer anything.
About Kindex on Product Hunt
“The memory layer AI coding agents don't have.”
Kindex was submitted on Product Hunt and earned 13 upvotes and 5 comments, placing #38 on the daily leaderboard. A persistent knowledge graph for Claude Code, Codex, Gemini CLI, Antigravity, OpenCode, Cursor, and other AI-assisted workflows. 52 MCP tools, 75 CLI commands, 5 context tiers.
On the analytics side, Kindex competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Kindex performed against the three products that launched closest to it on the same day.
Who hunted Kindex?
Kindex was hunted by Jeremy McEntire. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Kindex including community comment highlights and product details, visit the product overview.
Jeremy McEntire