
Mnema
ai.zimac由 zimac.ai 发布v0.2.0更新于 Oct 24, 2026
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
概览
为 AI 助手提供本地持久记忆库,可通过 MCP 查询、写入和浏览记忆。
- 可以做什么
- Mnema 为 AI 助手运行一个共享的本地记忆库,并暴露四个 MCP 工具:consult(行动前检索记忆)、learn(记录一条持久事实)、related(遍历图谱邻居)、list(浏览近期条目)。检索结合词法搜索与图谱扩散激活,可选语义嵌入,每个回答都带有置信区间。同一记忆库可被 Claude Code、Claude Desktop、Cursor、脚本和 CI 等多个客户端共享。
- 适用场景
- 当你希望助手跨会话、跨客户端记住持久事实,又不愿把这些记忆上传到云端时,值得安装。适合需要在行动前查阅既有经验的助手、脚本和 CI。若只需要单次会话的上下文,则意义不大。
- 运行要求
- 以本地进程(stdio)方式在 macOS 或 Linux 上运行,可通过 .mcpb 包或独立二进制安装。默认数据存放在 ~/.mnema,并在 自动启动本地守护进程。将 MNEMA_URL 指向远程存储时,需要 MNEMA_TOKEN 作为 bearer 凭据。可选环境变量:MNEMA_DATA_DIR、MNEMA_URL、MNEMA_TOKEN。
安装
在 SourceWeft 中
- 打开 控制台中的 Mnema,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
Mnema
Local-first, formally verified memory for AI agents — one shared store, every client, over MCP.
Your agents rent their intelligence from a lab; their memory should be yours.
Mnema is a single, durable store of what your agents have learned — consult it
before you act, learn a durable fact, walk the related graph, list what's
recent. Data lives in ~/.mnema on your machine and nothing leaves it unless you
point it somewhere.
- Verified engine. The embedded engram database is formally specified and machine-checked (property catalog discharged by 250+ tests, an exhaustive CRDT conformance model checker, Kani proofs, and a TLA⁺ model). Every released binary passed that gate on its exact commit.
- Local-first. An open, append-only segment format in
~/.mnema. No cloud, no account. - One store, every client. Claude Code, Claude Desktop, Cursor, your scripts, and your CI all talk to the same memory. Recall is lexical + graph spreading-activation (plus optional semantic embeddings), with an honest confidence band on every answer.
This repository hosts the public release bundles (
.mcpb) and prebuilt binaries. The product, docs, and downloads live at mnema.zimac.ai.
Install
From the MCP Registry (recommended)
Mnema is published to the official MCP Registry
as ai.zimac/mnema. Any registry-aware client can install it by name; it
pulls the platform .mcpb bundle from this repo's releases and verifies its
fileSha256.
.mcpb bundle (manual)
Grab the bundle for your platform from the latest release and open it with an MCP-bundle-aware client (e.g. Claude Desktop → Extensions):
A .mcpb is a ZIP of a manifest.json, the mnema binary, and this README.
Each is dry-run verified (the bundled binary completes an MCP initialize
handshake) before release.
Headless binary (curl | sh)
For agents, scripts, and CI — installs the standalone mnema binary:
(macOS universal + Linux x86_64 prebuilt; anything else builds from source. The macOS GUI app is a separate download at mnema.zimac.ai.)
Give your agents memory
That's the whole setup: mnema mcp auto-starts the shared local store if it
isn't running, and the session gets four tools — consult (search before you
act), learn (record a durable fact), related (graph neighbours), list
(browse). Any MCP client works; the generic config is:
Point it at a shared / team store
The same binary bridges to a remote Mnema (a token-protected mnema serve or a
hosted learnings pod) instead of the local one:
With a non-loopback URL nothing is auto-started — it's a pure authenticated bridge.
Configuration
Links
- Product & downloads: https://mnema.zimac.ai
- Registry entry:
ai.zimac/mnemaon https://registry.modelcontextprotocol.io - Releases (
.mcpb+ binaries): https://github.com/Zimac-AI/mnema/releases
Mnema is a Zimac project.
来源:README.md,提交 3ad94ce
工具
0版本历史
1- v0.2.0最新Sep 16, 2026
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