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Agent Memory Os MCP server

by yamantaka520·io.github.yamantaka520/agent-memory-os·v1.10.1·6 stars
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Local-first memory engine for AI-agent teams: team/project ACL, recall, and federated sync.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

6 stars443 downloads/wk

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Agent Memory Os tools (13, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • memory_add

    Store a durable memory that will survive across sessions.

  • memory_consolidate

    Merge duplicate memories and synthesize concept memories (housekeeping).

  • memory_context_pack

    Build a prompt-ready, token-budgeted block of the most relevant memories.

  • memory_linkwrite action

    Create a directed association between two existing memories.

  • memory_offload_context

    Park the agent's working context as a restorable snapshot (offload).

  • memory_orchestrate_context

    Assemble a rich, budget-aware context block for a task.

  • memory_recall_feedback

    Report whether recalled memories were helpful, to tune future ranking.

  • memory_reload_context

    Restore a previously offloaded working-context snapshot (reload).

  • memory_search

    Recall memories relevant to a query, ranked best-first.

  • memory_share

    Change who can read an existing memory (share it, or make it private again).

  • memory_snapshot_diff

    Show what changed between a session's two most recent context snapshots.

  • memory_timeline

    Recall what was recorded around a moment in time.

  • memory_updatewrite action

    Update fields of an existing memory in place (keeps the same id).

Public scan report

scanner v0.1.10 · 2026-10-02 · same rubric, same numbers if you re-run it

no findings
  • Code scan77 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agent Memory Os compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 4,460 AI and agents servers
Tools
13
the typical AI and agents server has 6
Tools that change things
15%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
6
more than 80% of 2,711 AI and agents servers
Downloads a week
443
more than 85% of 1,538 AI and agents servers with a package

What its tools let an agent do: 11 read · 2 change

Release history: 2 versions in the registry since 2026-09-17, latest 2026-09-22, typically one every 5 days.

Install Agent Memory Os in Claude Code, Cursor or VS Code

claude mcp add agent-memory-os -- uvx agent-memory-os
Add to Cursor

What the publisher says

From the Agent Memory Os repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.yamantaka520/agent-memory-os -->

English · 繁體中文

A local-first memory system for AI-agent teams — not just giving one agent a memory, but a shared memory fabric for a fleet of agents working together: private, team, and project-scoped memories behind a hard ACL, associative recall, and federated sync that keeps a mesh of nodes (and their org structure) in agreement. One SQLite file, zero required dependencies, Apache-2.0.

Why · Compare · Install · Quickstart · Features · Federation · Web&nbsp;UI · User&nbsp;Guide

The built-in web console: token-usage by agent/team/project, memory browse, and the ACL-safe association graph.

Why

Real work happens in teams of agents — a project might mix Claude Code, Codex, OpenClaw, and several Hermes profiles, across multiple teams and projects, on one machine or many. They need to share the right knowledge with the right teammates and keep private what should stay private:

  • Per-agent memory is the floor, not the ceiling: durable facts, preferences, procedures, and lessons that survive across sessions.
  • Team & project memory is the point: a team sees team: memory; a project (a subset of the team) sees project: memory; nothing leaks across the boundary. Membership is first-class and manageable, and drives the ACL.
  • Federation keeps a mesh honest: memories and the org structure (teams/projects/memberships) converge across nodes, so project: means the same thing everywhere.
  • Local-first avoids the latency, cost, and privacy tradeoffs of cloud memory platforms — memories live in a local SQLite file, and each prompt receives only the relevant, budgeted slice.

Features

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

  • 2026-09-19restoreB → Ascore 92

Agent Memory Os: common questions

Is Agent Memory Os MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Agent Memory Os safety report
How do I install Agent Memory Os?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agent Memory Os need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is Agent Memory Os maintained?
The last commit was 34 days ago (2026-10-01). The latest release is v1.10.1.
What can I use instead of Agent Memory Os?
Servers from other publishers that do the same job: Basic Memory MCP server, Agent Recall MCP server and Total Agent Memory MCP server. Compare all Agent Memory Os alternatives.
How does Agent Memory Os compare with other AI and agents MCP servers?
safety score 92/100 (higher than 90% of 4,460 AI and agents servers); tools 13 (the typical AI and agents server has 6); tools that change things 15% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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