by kevin-hs-sohn · Codex Skill · ★ 149
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hipocampus Drop-in memory harness for AI agents. Zero infrastructure — just files. 3-tier memory architecture with a 5-level compaction tree, auto-loaded ROOT.md topic index, and optional hybrid search via qmd. One command to set up, works immediately with Claude Code, OpenCode, and OpenClaw bots. Install As a Claude Code Plugin Then run for full setup (directories, templates, search, hooks). Standalone (npm) This creates the full memory structure in your project: It also:
| Stars | 149 |
| Forks | 10 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 51.068/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-24 |
| Created | 2026-03-15 |
| Platforms | claude-code, node |
| Est. Tokens | ~24k |
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hipocampus is Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw.. It is categorized as a Codex Skill with 149 GitHub stars.
hipocampus is primarily written in JavaScript. It covers topics such as agent-memory, ai-agent, ai-memory.
You can find installation instructions and usage details in the hipocampus GitHub repository at github.com/kevin-hs-sohn/hipocampus. The project has 149 stars and 10 forks, indicating an active community.
hipocampus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hipocampus on Agent Skills Hub include omem, remnic, TrueMemory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.