
MemoCat — Shared AI Memory
io.github.MontyGovernance由 GitHub 账号 MontyGovernance 发布v0.4.3更新于 Oct 24, 2026
One shared, persistent memory across AI agents and systems, with semantic recall and live updates.
发布方自己的服务:Memory.fit
概览
自托管的 MCP 服务器,为 AI 代理提供一份共享的持久记忆,支持语义、关键词和混合检索,跨会话与客户端可用。
- 可以做什么
- 在命名作用域和键空间中单条或批量存储、更新和遗忘记忆,结构化写入或过滤检索前可检查字段模式。按语义、精确关键词、混合检索、精确键或元数据召回记忆,并列出已存记忆。等待其他代理写入到达,无需轮询。创建、列出和删除键空间,并调整缓存容量。运行语义索引、快照和策略等管理工具。
- 适用场景
- 当多个 MCP 客户端或代理需要共享跨会话保留的决策、偏好和项目上下文,并且希望记忆留在本机而不是托管服务上时使用。
- 运行要求
- 通过 stdio 在本机运行;可用 Claude Desktop 安装包、Claude Code 插件,或用 uvx 安装(需 Python 3.10+)。会自动启动本地 Montycat 引擎,也可用 MONTYCAT_URI 指向自行运行的引擎(例如用 Docker)。另有 TLS、默认键空间和作用域等可选变量。
安装
在 SourceWeft 中
- 打开 控制台中的 MemoCat — Shared AI Memory,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
Montycat MCP - Shared Memory for AI Agents
A self-hosted MCP server that gives AI agents persistent, searchable memory. Claude, Codex, Cursor, and any Model Context Protocol client write to one memory and read each other's.
- Memory that survives the chat. Decisions, preferences, and project context carry into the next session.
- One memory, many agents. Every MCP client you use works from the same facts.
- Recall by meaning, keyword, or both. Vector search finds a memory when the wording differs, BM25 nails exact identifiers, and hybrid mode fuses the two. Exact-key and metadata lookup too.
- Yours. Server, engine, and embeddings run on your machine. No hosted memory service, no cloud embedding API.
Install
Claude Desktop — download
montycat-mcp.mcpb
and drag it into Claude Desktop. No Python needed. That link always serves the
current release; every release
also carries a version-named copy and a .sha256 to check it against.
Claude Code — install uv, then:
/mcp confirms the montycat server is connected.
Codex, Cursor, other MCP clients — point your client's stdio config at
uvx montycat-mcp (Python 3.10+). For Codex:
The engine
Memory lives in a Montycat Semantic engine. Montycat MCP starts a local one for you, so most people can stop reading here.
Point it at an engine you already run:
Or start one yourself with Docker:
On Apple Silicon use the arm64-semantic tag instead — semantic is the amd64
image, and it crashes under emulation. Port 21211 carries live memory watches.
Use it
Talk to your agent normally; it picks the tool.
Remember that the team chose PostgreSQL for the billing service.
What did we decide about the billing database?
Save this to the shared
engineeringscope.
scope decides where a memory lives — alice for private, engineering for a
team, shared for common. It is a namespace, not a security boundary: for real
isolation, give each MCP server its own least-privilege Montycat credential.
Tools
For persistent namespaces, cache is a capacity in MB and compression is
chosen by montycat_create_keyspace. Compression cannot be changed after the
keyspace is created; migrate into a new keyspace to use a different setting.
Cache capacity can be changed later with montycat_update_cache.
Destructive tools are declared as such, so your client's confirmation prompts apply.
Configuration
All three verification settings are optional. With only MONTYCAT_TLS=true,
MCP retains the historical encrypted-but-unverified behavior; with TLS unset or
false, existing plaintext configurations are unchanged.
| MONTYCAT_DEFAULT_KEYSPACE | Memory namespace; memory by default |
| MONTYCAT_SCOPE | Default scope when a call omits one |
| MONTYCAT_AUTO_PROVISION | Create a permitted scope on first use; true by default |
| MONTYCAT_AUTOSTART | off to require an already-running engine |
Compose setup and the full variable list: compose.yaml and the plugin guide.
More
Changelog · Privacy · Issues · Docs · Docker Hub
Existing MemoCat installs keep working: memocat-mcp, MEMOCAT_*, and
memocat:// are still supported. New setups should use the Montycat names.
MIT
来源:README.md,提交 c904d61
工具
0版本历史
1- v0.4.3最新Sep 16, 2026
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Memory.fit
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pg.ddx.io: the PostgreSQL community's memory
io.ddx.pg官方发布者
pg.ddx.io: the PostgreSQL community's memory 的托管 MCP 服务,由 pg.ddx.io 发布;无需登录;Streamable HTTP;29 个工具。
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远程 MCP 服务器,可根据领域概念推荐并检索韩、日、中、越、英多语言的代码标识符名称,并提供 ERD 结构查询。

Counterparts
ai.counterparts
面向 Claude Code 与 Claude Desktop 的本地优先长期记忆:助手自行写下关于你和项目的笔记,并在之后的会话中回忆起来。

LAHZE - Persian AI Memory Platform
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