tinqiao-oss/engramory

tinqiao-oss★ 153Python最后同步: 2026-08-15

在 GitHub 打开

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

README 摘要

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 ( tools/engramory doctor.py ), loaded as standing rules ( CLAUDE.md / AGENTS.md / 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). Engramory — coined from engram (the physical trace a memory leaves in the brain) + memory . Here: one file = one fact. 🤖 Are you an AI agent, asked to install or check this? Start at AGENT-SETUP.md , not at the install steps below. It is the procedure for working out what your host can actually enforce, whether a store already exists, what you must not touch, and what to tell the user — the parts agents reliably get wrong when improvising. Status: 0.7.0 — experimental. The hard index cap (a PreToolUse hook) is deterministic for the matched direct-edit tools ( Edit Write MultiEdit ) but NOT a global write gu…

在 GitHub 查看完整 README →
Agent/智能体agent-memoryai-agentsclaude-codecodexdeepseek-harnessdsh-pluginknowledge-basellm-memory

分类