EverOS
A self-evolving memory layer for multi-agent and platform systems.
- Type
- MCP
- Open source
- Yes
- GitHub Stars
- ★ 8.5k
- Source
- mcp-github
- Repository
- github.com/EverMind-AI/EverOS
Overview
EverOS is a Python library and local-first memory runtime designed for agents and developers. It provides a portable memory layer from the outset for coding assistants, applications, devices, and workflows. It stores conversations, files, and agent trajectories in human-readable Markdown format and synchronizes local SQLite and LanceDB indexes for fast retrieval and self-evolving reuse. With EverOS, AI gains a consistent memory experience across multiple agents and platforms, enhancing performance across diverse scenarios.
Capabilities
- ▪Memory storage in Markdown format
- ▪Direct editing of Markdown files
- ▪Local three-part stack (Markdown + SQLite + LanceDB)
- ▪User and agent-independent memory trajectories
- ▪Orthogonal retrieval capabilities
Use cases
Setup
pip install everos
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I get started with EverOS?
Run `everos demo` after installation to see a demonstration, then configure your API keys and start the server.
What API keys are required?
You need API keys for OpenRouter and DeepInfra.
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