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yamantaka520/Agent-Memory-OS

yamantaka520/Agent-Memory-OS

ystem 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.
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配置模板(请按你的客户端调整)
claude mcp add agent-memory-os -- npx -y agent-memory-os
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
7 ★ · yamantaka520/Agent-Memory-OS · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 7 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 yamantaka520/Agent-Memory-OS;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
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以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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 UI · User 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
- **Local-first, zero-dependency core** — one SQLite file (FTS5), no server required. pip install and go.
- **Teams & projects, first-class** — teams are sets of node members; a project's members are a subset of its team. team: memory reaches the whole team, project: memory only that project — a hard ACL, managed in the console/CLI/API. Removing a member re-scopes recall instantly; deleting a scope revokes its memory.
- **Federated across nodes, with a real trust model** — portable bundles + peer sync converge memories, links, profiles, **and the org structure** (teams/projects/memberships) with last-writer-wins + tombstones. Per-peer policy (shared/full/team:/project:) is an **enforced authorization scope**: a peer can only assert membership within its own scope and can only *shrink* a memory's visibility, never widen it — no cross-scope escalation from a bundle.
- **Revocation that propagates** — an independent ACL clock carries a post-hoc share/revoke across the mesh, so revoking access actually retracts it on peers that already synced the memory — without disturbing the decay clock.
- **Requester-aware ACL** — every agent has private, agent, team, project, and global memories; visibility is a hard gate enforced before ranking, never a soft score. Candidate indexes return IDs only; content is re-read through the gate.
- **Dynamic context packs** — token-budgeted, auditable memory selection per prompt (context_pack_report() explains every include/exclude decision).
- **Truth arbitration** — duplicate suppression, contradiction detection (CONFLICT markers), and reserved budget for core memories.
- **Associative recall (resonance)** — an authoritative memory_links graph lets related memories surface even when they share no query terms; traversal is ACL-safe (invisible nodes are untraversable).
- **Hebbian reinforcement** — memories recalled together grow stronger links (record_recall, or auto_reinforce=True on context packs); unhelpful recalls weaken links and confidence (helpful=False).
- **Per-agent recall profiles** — different agent personas weight memory types differently (an engineer leans on procedure, a companion on preference); profiles persist in the database and re-weight ranking only, never bypassing ACL.
- **Memory lifecycle** — exponential/linear decay, pinning, hard expiry, and a write-side consolidate() pass that merges duplicates and synthesizes strongly co-recalled clusters into concept memories.
来源
awesome · https://github.com/yamantaka520/Agent-Memory-OS
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