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Titan Memory
A Persistent evolutionary memory layer for AI agents
Titan is a persistent evolutionary memory layer for AI coding agents. Instead of dumping old chats into a vector search, Titan builds structured memories, links related moments, and reranks them, where memories support, contradict, and strengthen each other. The result is an agent that remembers your project, preferences, decisions, and past fixes across sessions, so you do not have to re-explain your work every time.
I almost didn't share this.
A few months ago I got obsessed with one question: why does attention actually work? Not how, why. That rabbit hole pulled me deep into vector algebra, calculus, and eventually into something I didn't expect to build.
Titan started as a personal obsession and turned into a persistent, evolutionary memory layer for AI agents. But "memory" undersells it. What I really wanted was for agents to have a past. Memories that talk to each other like neurons. Semantically similar ones that rerank and strengthen over time, the same way attention weighs context.
Using it changed how I work with agents completely. My coding agent now remembers decisions I made three weeks ago, bugs we debugged together, architecture choices, my preferences. Things that would vanish at the end of every session. It doesn't just remember facts. It knows me.
The memory graph is honestly my favorite part. /titan-graph turns your conversations into a living knowledge graph with topic clusters, bridge concepts, and connections that reshape as your agent learns. Watching your own thinking visualized like that is kind of wild.
Titan is open source, local-first, and completely free. No cloud. No data leaving your machine. One command, pi install npm, and your Pi coding agent stops forgetting.
I believe there's an external harness coming that solves self-evolution in AI. Titan is my small experiment in that direction. Would love for you to try it and tell me what you think.
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About Titan Memory on Product Hunt
“A Persistent evolutionary memory layer for AI agents”
Titan Memory was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #148 on the daily leaderboard. Titan is a persistent evolutionary memory layer for AI coding agents. Instead of dumping old chats into a vector search, Titan builds structured memories, links related moments, and reranks them, where memories support, contradict, and strengthen each other. The result is an agent that remembers your project, preferences, decisions, and past fixes across sessions, so you do not have to re-explain your work every time.
Titan Memory was featured in Productivity (652.4k followers), Artificial Intelligence (469.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 251.4k products, making this a competitive space to launch in.
Who hunted Titan Memory?
Titan Memory was hunted by Mohammad Saad. 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.
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Mohammad Saad