EverOS
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Star Growth
Overview
EverOS is a Python library and local-first memory runtime that provides a portable memory layer for AI agents across different tools and workflows. It stores conversations, files, and agent trajectories as readable Markdown files and syncs with local SQLite and LanceDB indexes for fast retrieval and self-evolving reuse.
Deep Analysis
Uses readable Markdown files as the canonical source of truth for agent memory instead of API-only or database-centric approaches.
⚡ Capabilities
- • Markdown-native memory storage
- • Local SQLite and LanceDB indexing
- • Keyword search and retrieval
- • Memory reflection and evolution
- • Knowledge wiki with CRUD APIs
🔗 Integrations
✓ Best For
- ✓ Building agents with persistent memory
- ✓ Local-first agent development
- ✓ Markdown-based knowledge management
- ✓ Cross-application agent memory
✗ Not Ideal For
- ✗ End-user AI applications
- ✗ Cloud-only deployments
- ✗ Simple chatbot implementations
⚠ Known Limitations
- ⚠ Requires Python 3.12+
- ⚠ Local-first approach may not suit cloud-native teams
- ⚠ Early ecosystem integrations
Alternatives
Works with EverOS
Tools that integrate with EverOS, often used together in the same stack.
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