hippo-memory
hippo-memory is Memory for AI agents that learns what is wrong and stops repeating it. Mark a memory wrong and it stops coming back; newer facts replace old ones. Local SQLite store and MCP server, persistent acro.... It is ranked #1374 on the Vibe Coding Radar, in Agent infra & costs, first seen 38 days ago and shared in 1 post (576 views).
GitHub - kitfunso/hippo-memory: Memory for AI agents that learns what is wrong and stops repeating it. Mark a memory wrong and it stops coming back; newer facts replace old ones. Local SQLite store and MCP server, persistent across sessions; hippo init wires it into Claude Code, Codex, Cursor, OpenClaw, OpenCode and Pi. Zero runtime deps, MIT, opt-in hosted TypeSafe Jev reranker. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You…
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hippo-memory in numbers
- Rank on the Vibe Coding Radar: #1374 of 2604
- Shared in 1 post by 1 account: @volatilemarkts
- 576 views on those posts
- First seen 38 days ago, last shared 38 days ago
- Pricing seen by AGK Intelligence: open source
- Market: Agent infra & costs
FAQ
What is hippo-memory?
Memory for AI agents that learns what is wrong and stops repeating it. Mark a memory wrong and it stops coming back; newer facts replace old ones. Local SQLite store and MCP server, persistent acro... It was first shared on X 38 days ago and is ranked #1374 on the Vibe Coding Radar.
Is hippo-memory free?
It is open source.
Who shared hippo-memory?
1 account on X, including @volatilemarkts, in 1 post totalling 576 views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 7.9k posts from 5k X accounts over the last 14 days, 2.6k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:43 UTC. Full method.