ReMe

<strong>A local-first, self-evolving personal knowledge base for AI agents.</strong><br>

Previous versions: 0.3.x · 0.2.x · MemoryScope

✨ Why ReMe?

🧠 ReMe turns conversations and resources into readable, editable, searchable, and interconnected Markdown memory. Agents such as QwenPaw and DeepSeek Harness can share the same workspace to retrieve, maintain, and evolve knowledge, while users retain control of the durable files.

• Memory as File, File as Memory: ReMe stores durable memory as ordinary Markdown with frontmatter and wikilinks. Users and agents can inspect, edit, move, sync, and back it up with familiar tools, while indexes and generated metadata remain rebuildable.
• Self-evolving knowledge base: ReMe progressively turns conversations and resources into daily notes and long-term knowledge, preserving sources while refining facts, preferences, procedures, and relationships over time.
• Recall is precise and context-aware. BM25, optional embeddings, and wikilink expansion retrieve relevant line-level passages and their relationships without loading the entire knowledge base into the agent context.
• One memory workspace works across agents. Personal assistants, coding agents, and other agent runtimes can share the same local workspace through native integrations, SKILL.md, CLI, HTTP, MCP, or Python APIs.

📰 Latest Updates

• [2026.10] - Decision-model context compaction: score old tool calls and results against the next action, preserve protected history, and return a recoverable compaction proposal. Includes an SVG walkthrough, two live-model integration scenarios, and a 14-query fixed-summary Top-N benchmark with a forced Hermes summary baseline.

• [2026.10] - ReMe Multimodal Memory update: Auto Memory reads images with their conversation context and preserves image sources; Auto Resource turns image files into searchable daily cards linked to the originals.

• [2026.10] - ReMe Studio Playground is live: explore example memory files, edit Markdown, and browse linked memory graphs right in your browser—no installation or backend required. Everyone is welcome to try it out!

• [2026.09] - ReMe Memory Tags published: an introduction to file-native entity tags, rebuildable tag indexes, and tag-filtered memory search.

• [2026.09] - Hermes Agent memory provider available: choose HTTP or embedded mode for automatic recall before model calls and asynchronous auto_memory after completed turns. The integration supports Hermes Agent 0.21+ and includes profile-aware background work.

More updates

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