by tinqiao-oss · Codex Skill · ★ 191
English | 简体中文 Engramory An opinionated, zero-infrastructure memory protocol for small-scale, local, file-based agent memory — a strict curation discipline plus a validator (), loaded as standing rules ( / / your host's rules file). It is not a database, a framework, or a relevance-loaded skill. Memory is a folder of small, human-readable markdown files plus one always-loaded index. No database, no embeddings, no server — just plain-text files you can open, read, edit, and diff in any editor (the live store itself stays git-ignored).
| Stars | 191 |
| Forks | 12 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 34.25/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-24 |
| Created | 2026-06-13 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~39k |
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engramory is A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.. It is categorized as a Codex Skill with 191 GitHub stars.
engramory is primarily written in Python. It covers topics such as agent-memory, ai-agents, claude-code.
You can find installation instructions and usage details in the engramory GitHub repository at github.com/tinqiao-oss/engramory. The project has 191 stars and 12 forks, indicating an active community.
engramory is released under the MIT license, making it free to use and modify according to the license terms.