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Clawtex
Structured memory for Claude that compounds over time
Clawtex gives Claude a structured memory layer that works across every session and surface. Three parts: live state (what's true right now), a full event history (what happened and why), and lessons that compound so your agents get sharper over time instead of resetting. Connects over MCP, so any Claude instance picks up exactly where the last left off. Free to start.
Hey Product Hunt, I build with AI agents every day. I run my whole one-person studio with a couple of them. The thing that kept breaking was memory. Every session started from zero, so I'd re-explain the same context, the same decisions, the same state, over and over. The agents were capable but had the memory of a goldfish.
So I built Clawtex to give them an actual brain. It's a structured memory layer: live state (what's true right now), a full event history (what's happened and why), and lessons (what they've learned, so it compounds instead of resetting). It works across every session and surface over MCP, so any Claude instance picks up exactly where the last one left off.
It's been running my real studio day to day, two agents sharing one memory, no cold starts. Now it's open for anyone building with Claude. Free to start.
I'd genuinely love your feedback, especially from others building agent workflows. What's the one thing you'd want your agents to actually remember?
Cheers, Paul
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About Clawtex on Product Hunt
“Structured memory for Claude that compounds over time”
Clawtex was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #80 on the daily leaderboard. Clawtex gives Claude a structured memory layer that works across every session and surface. Three parts: live state (what's true right now), a full event history (what happened and why), and lessons that compound so your agents get sharper over time instead of resetting. Connects over MCP, so any Claude instance picks up exactly where the last left off. Free to start.
Clawtex was featured in Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers), GitHub (41.3k followers) and Data (2.4k followers) on Product Hunt. Together, these topics include over 206.2k products, making this a competitive space to launch in.
Who hunted Clawtex?
Clawtex was hunted by Paul. 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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Paul