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Zekra
Long-term memory for AI agents, over MCP
Zekra is an open-source memory service any AI agent reaches over MCP. Agents retain what they learn; the next session recalls it with citations. Facts are updated, not duplicated, and recall mixes vectors, BM25 and a knowledge graph.
Hi Product Hunt, Fady here. I run a lot of AI agents across Claude Code, Codex and Cursor, and every new session started from zero. I kept re-explaining the same decisions. So I built Zekra, a memory service any agent reaches over MCP.
An agent retains what it learns, and the next session recalls it with citations. Facts are updated, not duplicated: every write is an add, update, invalidate or no-op, so a changed decision replaces the old one instead of piling up next to it. Recall mixes vectors, BM25 and a knowledge graph, and it works in Arabic and English.
It's open source under AGPL-3.0, so you can self-host it. There's also a hosted version at app.zekra.dev. I use it every day; my own assistant runs on it.
Who it's for: developers who use more than one AI agent and are tired of repeating themselves.
Feedback I'm after: what would you want your agent to remember first, and what should it never keep?
About Zekra on Product Hunt
“Long-term memory for AI agents, over MCP”
Zekra was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #156 on the daily leaderboard. Zekra is an open-source memory service any AI agent reaches over MCP. Agents retain what they learn; the next session recalls it with citations. Facts are updated, not duplicated, and recall mixes vectors, BM25 and a knowledge graph.
On the analytics side, Zekra competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Zekra performed against the three products that launched closest to it on the same day.
Who hunted Zekra?
Zekra was hunted by Fady Mondy. 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 Zekra including community comment highlights and product details, visit the product overview.
Fady Mondy