EverRoom
A local-first context management workspace for AI-assisted work, combining a wiki-style knowledge base, versioned evidence tracking, and layered memory so AI agents keep useful context across projects.
🔗 Visit EverRoom
Description
Working with AI agents on a long-running project usually means re-explaining context every session — what decisions were made, what sources back them up, what the current state is. EverRoom is built to hold that context permanently instead of losing it between chats.
It combines a knowledge-management layer (wiki pages, entities, links, decision routing) with an "evidence ledger" of versioned, addressable sources, and a layered memory system (MemoryCore, with L0-L3 derivations) that lets an AI progressively build up understanding rather than starting fresh. Work happens inside project-scoped "Context Rooms" where AI can create and edit versioned documents directly, with persistent agent sessions and streaming events. It's built on Electron, React, TypeScript, Fastify, and SQLite, is local-first by design with no mandatory cloud sync planned for v1, and is currently macOS-focused.
💬 Our review
The short version: EverRoom is tackling the same underlying problem as Entire (AI agent context loss) but from a knowledge-management angle rather than a Git-checkpoint angle — a wiki-and-memory layer rather than a code-conversation record.
Against Notion or Obsidian, EverRoom's differentiator is that it's built specifically for AI agents to read, write, and derive memory from, not just for humans to organize notes — the layered MemoryCore concept has no real equivalent in either tool. It's very early (created mid-August 2026, actively pushed as of this review), macOS-only, and explicitly scoped to avoid continuous screen recording or autonomous multi-agent swarms in v1, which keeps its ambitions in check for now. A reasonable bet for developers already deep in AI-agent-assisted workflows who want persistent, structured context; not yet a general note-taking replacement for Notion or Obsidian users, and Windows/Linux users will have to wait.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Open source ; édition communautaire prévue avec offres commerciales séparées pour l'hébergement et les fonctions d'équipe (à venir).
Pros
Mémoire hiérarchisée (MemoryCore) construite spécifiquement pour les agents IA
Local-first, aucune synchronisation cloud obligatoire prévue en v1
Journal de preuves versionnées et gestion de connaissances type wiki
Context Rooms pour un travail de projet cloisonné avec édition IA directe
Cons
Très jeune (créé mi-août 2026), API et schémas encore instables
macOS uniquement pour l'instant
Pas encore un remplaçant généraliste de Notion ou Obsidian