This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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.
Kindex has been incredibly helpful when I’m working on long-running features that span multiple repositories.
I can move between codebases without having to rebuild the entire context for my AI agent each time. This saves me from repeatedly explaining the same details and prevents us from wasting time rediscovering work we’ve already completed.
It has made a noticeable difference in my productivity.
I've been using Kindex for months, it has been a complete game-changer. Kindex keeping track of long-running tasks, to-do lists, broad stylistic and architectural goals, as well as permitting multiple agents to use the same shared state while running in parallel -- truly amazing to see.
Awesome product! What type of gains are you seeing with Kindex? Is it mostly productivity gains, higher quality, fewer tokens, or all of it?
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.
Kindex was featured in Productivity (655.7k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 349.4k products, making this a competitive space to launch in.
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.
Want to see how Kindex stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jeremy McEntire