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Memanto
Memory that AI Agents Love ! Free, Open-Source, Functional
Give your AI agents long-term memory. Memanto lets agents carry context across sessions with instant semantic recall, built-in RAG, and cost-efficient serverless architecture or completely on-prem. No need for VDBs. Works with Claude Code, Cursor, Windsurf, and 10+ more tools.
Your agent forgets everything. Memanto fixes that.
Persistent memory for Claude Code, Cursor, Codex, and 14 other agents. 100% free, open source, and runs entirely on your machine · no API keys, no vector database, no backend
We built Moorcheh.ai first, the only serverless vector search that delivers this level of recall efficiency at scale. While building it, we kept running into agents that forgot everything between sessions. We asked Claude what causes agent memory to fail, it pointed to passive, static context. Six gaps. We built Memanto.ai around exactly those six problems, and it wouldn't be possible without Moorcheh.ai's serverless vector infrastructure underneath.
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About Memanto on Product Hunt
“Memory that AI Agents Love ! Free, Open-Source, Functional”
Memanto was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #146 on the daily leaderboard. Give your AI agents long-term memory. Memanto lets agents carry context across sessions with instant semantic recall, built-in RAG, and cost-efficient serverless architecture or completely on-prem. No need for VDBs. Works with Claude Code, Cursor, Windsurf, and 10+ more tools.
Memanto was featured in Developer Tools (514.5k followers), Artificial Intelligence (471.7k followers), GitHub (41.3k followers) and Vercel Day (20 followers) on Product Hunt. Together, these topics include over 199.2k products, making this a competitive space to launch in.
Who hunted Memanto?
Memanto was hunted by Majid Fekri. 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 Memanto stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Majid Fekri
Memanto is the Memory that AI Agents Love !
Your agent forgets everything. Memanto fixes that.
Persistent memory for Claude Code, Cursor, Codex, and 14 other agents. 100% free, open source, and runs entirely on your machine · no API keys, no vector database, no backend
We built Moorcheh.ai first, the only serverless vector search that delivers this level of recall efficiency at scale. While building it, we kept running into agents that forgot everything between sessions. We asked Claude what causes agent memory to fail, it pointed to passive, static context. Six gaps. We built Memanto.ai around exactly those six problems, and it wouldn't be possible without Moorcheh.ai's serverless vector infrastructure underneath.