A local-first, Markdown-native memory runtime and Python library that gives agents one portable memory layer across coding assistants, apps, devices, and workflows. Stores conversations, files, and agent trajectories as canonical .md files (readable, editable, diffable, Git-versioned) and syncs local SQLite + LanceDB indexes for fast retrieval and self-evolving reuse. Exposes a local REST API server (OpenAPI-documented) for agent integration; optional multimodal ingest extra handles images, PDFs, audio, and office documents.
- Storage
- Markdown is the source of truth, with separate first-class tracks for the user (episodes/profile) and the agent (cases/skills) plus a source-backed Knowledge Wiki (editable Markdown pages with taxonomy, CRUD APIs, and topic search, added v1.1.0). Local SQLite + LanceDB indexes are derived from the .md files; a cascade watcher re-syncs indexes when files are edited directly. No MongoDB, Elasticsearch, or Redis required.
- Retrieval
- Orthogonal retrieval scoped by user_id, agent_id, app_id, project_id, and session_id, plus topic search over the Knowledge Wiki. An offline Reflection pass (added v1.1.0) merges episode clusters and refines profiles and skills between sessions. Knowledge search requires both embedding and rerank providers to be configured; missing providers now fail explicitly rather than silently returning degraded results.
- Self-host
- Self-host: moderate
- License
- Apache-2.0
- Pricing
- Open-source Python library (Apache-2.0), local-first and free to self-host; the real server-backed memory flow requires two external provider API keys (LLM/multimodal via OpenRouter and embedding/rerank via DeepInfra by default; any OpenAI-compatible provider supported). Managed cloud offering at evermind.ai; API keys obtainable at console.evermind.ai (cloud pricing not published). · Free + paid
- GitHub stars
- 11,953
- Last release
- 2026-08-07
- Last commit
- 2026-08-07
- First catalogued
- 2026-06-28
Strengths
- Local-first and user-owned: Markdown source of truth backed only by SQLite + LanceDB — no managed service or cloud vector DB required to self-host
- Direct .md file editing supported; a cascade watcher re-syncs the indexes automatically
- Separate user (episodes/profile) and agent (cases/skills) tracks, orthogonally scoped by user_id, agent_id, app_id, project_id, and session_id
- Knowledge Wiki (v1.1.0): editable source-backed Markdown knowledge pages with taxonomy, CRUD APIs, and topic search
- Offline Reflection pass (v1.1.0) merges episode clusters and refines profiles and skills between sessions
- Optional multimodal ingest (everos[multimodal]) handles images, PDFs, audio, HTML, email, and office documents via LibreOffice
Watch out
- The real server-backed memory flow requires two external provider API keys (LLM/multimodal + embedding/rerank); the fully-local claim applies to storage only, not to extraction or semantic search
- Knowledge search fails explicitly (HTTP error) if embedding and rerank providers are not configured — confirmed v1.1.0 compatibility note
- Community MCP (evermemos-mcp) connects to EverMemOS Cloud, not the local OSS server — a cloud API key is required for that integration path, not self-hosting
- Official Claude Code plugin (evermem-claude-code) is marked legacy in the EverOS README; it connects to EverMem Cloud rather than the EverOS 1.0.0 OSS API
- Reflection and self-evolving claims are vendor-described; no independent benchmark evaluation found
- Cloud pricing at evermind.ai not published; console at console.evermind.ai
Best for
- Makers wanting a portable, local-first, Git-versioned Markdown memory layer shared across multiple agents, apps, and AI coding assistants
- Agents that need user-profile memory and agent-skill memory as separate, orthogonally-scoped tracks in one runtime
How it integrates
Benchmark results
No sourced results yet.
Sources
- Monthly card re-verification — GitHub API repo metadata: 11,741 stars, license Apache-2.0 confirmed, archived=false, last commit on the default branch 2026-07-30 (third-party)
- EverOS README — quickstart, use cases, ecosystem (vendor)
- GitHub API repo metadata — stars 9775, Apache-2.0, not archived, pushed 2026-06-28 (third-party)
- EverOS v1.1.0 release notes — Knowledge APIs, Reflection orchestration, OME runtime (vendor)
- EverOS PyPI package — v1.1.0, Apache-2.0 (third-party)
- EverOS HTTP API reference (v1) — REST endpoints, OpenAPI spec (vendor)
- evermemos-mcp community MCP server wrapping EverMemOS Cloud (third-party)
- EverMind official Claude Code memory plugin (legacy cloud connection) (vendor)
- GitHub API re-check — stars 9872 (up from 9775), still on tagged release v1.1.0 (2026-06-24), no new release since prior verification (third-party)
- GitHub API re-check — 11465 stars, Apache-2.0 confirmed, not archived, pushed 2026-07-23; latest release v1.1.4 (up from v1.1.0), PyPI package matches at 1.1.4 (third-party)
- evermind.ai/pricing returns HTTP 404 — no dedicated pricing page found; evermind.ai home page confirms 'EverOS Cloud Service' (managed, sign-up at everos.evermind.ai) vs 'EverOS Open Source' (Apache-2.0 self-hosted), but still no published cloud price list as of 2026-07-23 (vendor)
- README re-check — MCP support remains a community wrapper only (tt-a1i/evermemos-mcp), no official first-party MCP server shipped; evermem-claude-code plugin still present and unarchived (last pushed 2026-04-27) (vendor)
Last verified 2026-08-01 · updated by refresh-framework-cards