by kevin-hs-sohn · Codex 技能 · ★ 210
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).
| Stars | 210 |
| Forks | 12 |
| Language | JavaScript |
| Category | Codex 技能 |
| License | MIT |
| Quality Score | 66.8938226411299/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-08 |
| 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 技能 with 210 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 210 stars and 12 forks, indicating an active community.
hipocampus is released under the MIT license, making it free to use and modify according to the license terms.