agent-skill-memories-off
Active·★ 48·Apache-2.0·Updated 2026-05-28
memories-off provides a minimalist, structured local knowledge management solution that endows agents with long-term memory. It uses standardized Markdown entities and Git-driven workflows to maintain an auditable, rollbackable knowledge base. The project is designed for personal or small project use, with a focus on portability, readability, and flexibility.
#agent-skills#cli#llm#mcp#mcp-server#mcp-servers#memory-management#personal-assistant
01
Features
01Lightweight and local-first, no dependency on cloud services
02Structured knowledge via LLM-extracted entities, relations, and observations
03Flexible search by entity name, type, or observation keywords
04Human-readable data with simple backup functionality
02
Compatibility
Python
Runtime
Verified via docs
Cross-platform
OS
Verified via docs
03
Quick start
1
$ cd memories-off-skill
2
$ python3 scripts/install.py
04
Use cases
↳Personal knowledge management: extract key points from documents and conversations, build a personal knowledge graph
↳Personalized content generation: leverage the knowledge graph to generate style-consistent communications or documents
↳Project knowledge base: small teams can use it to accumulate project-level knowledge and optimize agent services
05
Alternatives
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hmem★ 24
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Persistent, correction-driven memory for AI agents. Cross-session, cross-platform (Claude Code, Codex, Gemini — any MCP client). Learns from mistakes, compresses context to save tokens, consolidates knowledge overnight. npm: agent-recall-mcp
its-over-9k★ 0
Persistent memory and agent lifecycle for Claude Code — because sessions shouldn't start from zero.
ogham-mcp★ 116
Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode
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