MemoCat - Shared AI Memory MCP Server
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. It runs locally over stdio via the published package.
People who work with agent memory, codex and embeddings and want it reachable from Claude, Cursor, VS Code, or another MCP client. The project is written in Python.
VERIFIED ACTIVE
LAST COMMIT 2026-09-17 · ★ 54 · #24 OF 304 MAINTAINED MEMORY · VERIFIED 2026-09-18
MIT · Python servers · how we verify → /methodology
01 · Install MemoCat - Shared AI Memory
before you install - you'll need
Set MONTYCAT_URI, MONTYCAT_SUPEROWNER, MONTYCAT_PASSWORD before connecting. MONTYCAT_TLS is optional or environment-specific per the README.
Claude Code
claude mcp add montygovernance-memocat-mcp -- uvx memocat-mcp Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"montygovernance-memocat-mcp": {
"command": "uvx",
"args": [
"memocat-mcp"
]
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions · container (OCI image) - can be sandboxed away from your filesystem
repo age created 2026-07-20 - young repo, little track record yet
license MIT - declared in the repository
pypi package memocat-mcp - check the name against the project README before installing (PyPI has no namespace ownership)
registry namespace io.github.MontyGovernance is GitHub-verified and matches the repo owner
03 · What MemoCat - Shared AI Memory can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
Latest releases
v1.1.4 · 2026-09-10
1.1.4 - 2026-09-11 · Maintenance release. No tool, API, or engine-compatibility changes. · Changed · Refresh the 512×512 transparent directory icon carried by the Claude Desktop · extension, the Claude plugins, and the…
v1.1.3 · 2026-09-09
1.1.3 - 2026-09-08 · Changed · Add timestamp_field to montycat_semantic_search. since and until · now build native SDK Timestamp filters against the selected Timestamp index · field, defaulting to _created_at for…
v1.1.2 · 2026-09-07
1.1.2 - 2026-09-06 · Improves the product identity advertised to MCP clients. · Changed · Advertise Montycat MCP as the human-facing server name during the MCP handshake while retaining existing package IDs and Claude…
04 · Who maintains MemoCat - Shared AI Memory
MemoCat - Shared AI Memory is maintained by montygovernance. We track 2 MCP servers from montygovernance - 2 actively maintained, 108 combined GitHub stars, oldest repo from Jul 2026. Full record: all servers from montygovernance.
05 · Facts
- repository
- github.com/montygovernance/memocat-mcp
- category
- memory - ranked #24 of 304 actively-maintained memory servers as of 2026-09-18.
- release cadence
- 10+ releases in the last 90 days (latest 2026-09-10)
- registry
- io.github.MontyGovernance/memocat-mcp (active, first published 2026-08-28 · 2 versions)
- packages
- pypi:memocat-mcp · oci:docker.io/montygovernance/memocat-mcp:0.4.3
06 · MemoCat - Shared AI Memory FAQ
What is MemoCat - Shared AI Memory?
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. It runs locally over stdio via the published package.
Is MemoCat - Shared AI Memory still maintained?
Yes - as of 2026-09-18, its last commit was 2026-09-17 and it shipped 10+ releases in the last 90 days. We re-verify nightly.
How do I install MemoCat - Shared AI Memory?
Run `uvx memocat-mcp`. The README documents 4 environment variables (MONTYCAT_URI, MONTYCAT_TLS, MONTYCAT_SUPEROWNER…) to set first. Set MONTYCAT_URI, MONTYCAT_SUPEROWNER, MONTYCAT_PASSWORD before connecting. MONTYCAT_TLS is optional or environment-specific per the README. You can also paste the ready-made client config above.
Does MemoCat - Shared AI Memory run locally?
Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.
07 · Alternatives to MemoCat - Shared AI Memory
Alternatives to MemoCat - Shared AI Memory
Maintained memory servers if MemoCat - Shared AI Memory isn't the fit.
- Codebase Memory Codebase knowledge graph for AI agents - 162 languages, sub-ms queries, 99% fewer tokens. ★ 43,715 · 2026-09-18
- Superlog Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents. ★ 1,449 · 2026-09-17
- Tradememory Protocol Tamper-evident decision audit trail and outcome-weighted memory for AI trading agents. ★ 1,419 · 2026-09-14
- Persome Local-first personal memory and model server for trusted MCP agents on macOS. ★ 1,322 · 2026-08-21
- Neo4j Memory MCP Neo4j Knowledge Graph Memory Server ★ 984 · 2026-09-09
- Projectmem Coding agent memory - one local MCP server for every project. Warns before repeating failed fixes. ★ 826 · 2026-09-15
Pairs well with
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