MemroOS keeps your context, permissions, evals, dispatch, and proof layer outside any single model vendor or framework. Use the best agents without renting away the memory layer that makes them useful.
Vector, graph, episodic, knowledge, and skill memory surfaces that stay in your infrastructure.
Operator-gated write paths, per-agent permissions, and audit lineage across memory, tools, and dispatch.
Run Claude Code, Codex, LangGraph, ADK, CrewAI, A2A, REST, and local workers through one visible control layer.
Context packs assembled before each agent run — agents receive only what they're authorized to use.
Live visibility into memory health, model usage, agent activity, governance, savings, and waste.
Review, edit, approve, and promote repeated workflows into durable governed skills and playbooks.
Agentic memory is the capability for AI agents to retain information across sessions, tasks, and handoffs. In MemroOS, that memory is structured, typed, permission-aware, and governed by the company rather than trapped in one vendor harness.
An agent harness is the work layer around a model: tools, files, permissions, memory, evals, routing, dispatch, and the workflow rules that define what done means.
A vector database stores embeddings for semantic search. MemroOS adds governance (who can write/read what), typed memory tiers (episodic, procedural, semantic, declarative), orchestration integration, and an operator console.
Yes. MemroOS is local-first and self-hosted by default. Your data never leaves your network. Source-available under the PolyForm Small Business license.
MemroOS integrates with Claude Code and Codex-style workflows through MCP and REST surfaces, plus LangGraph, CrewAI, AutoGen, Google ADK, A2A, and custom REST-capable agents.
MemroOS scores 84/100 on the Marketplace Agentic Memory Benchmark — #1 among evaluated platforms.
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