EverMind-AI/EverOS

Health v2 · maintenance only

Adoption not part of the score

12452 stars · 903 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

EverOS is a Python library and local-first memory runtime that gives AI agents a portable, user-owned memory layer across apps, tools, and workflows. It stores conversations, files, and agent trajectories as readable Markdown files, backed by local SQLite and LanceDB indexes for fast retrieval and self-evolving skill reuse.

Use cases

• give my AI agent long-term memory across sessions
• store chat history and agent trajectories as editable markdown files
• add persistent memory to a Claude Code or MCP-compatible agent
• let agents learn reusable skills from completed tasks
• run a local-first memory layer without MongoDB or Redis
• search agent memories by user, agent, and context
• sync memory across multiple AI apps and devices

When to choose

• you want local-first, Git-versioned Markdown as the source of truth for agent memory
• you need cross-agent, cross-platform memory without managed database services
• you want self-evolving procedural memory (cases promoting into skills)
• you need MCP, OpenAI SDK, or Anthropic SDK compatibility

When to avoid

• you need a fully managed cloud memory service with zero local setup
• you require graph-based memory or entity-relation modeling out of the box
• your stack is not Python-based and you cannot use the SDK or MCP interface

Facets

library · maturity active

rag vector-database database mcp agent-framework search-engine sdk artificial-intelligence large-language-models developer-tools databases python cross-platform self-hosted cli agent-memory long-term-memory markdown-native local-first lancedb sqlite self-evolving-skills memory-management procedural-memory mcp-server ai-agents retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="EverMind-AI/EverOS")