Source checked · Research

Agent Memory OS

What the publisher says

Local-first memory engine for AI-agent teams — private/team/project ACL, associative recall, federated sync, and a built-in MCP server.

Potential use: Research teams that need to manage private and shared memory for agent teams.

Limitations: Confidential documents or project memory until storage, retention, and deletion controls are clear.

Public use
1 GitHub star · 0 forks
Activity
Release v1.1.0 on 14 Jul 2026 · repository updated 14 Jul 2026
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Checked
15 Jul 2026

Source facts only. Not tested or recommended by Agent Blocks.

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