Skillmem MCP Server

Self-improving skills for Claude Code and Codex - your agents learn, recall, reinforce, and forget. It runs locally over stdio via the published package.

People who work with agent memory, codex and developer tools and want it reachable from Claude, Cursor, VS Code, or another MCP client. The project is written in Python.

VERIFIED ACTIVE

LAST COMMIT 2026-09-28 · ★ 6 · #55 OF 321 MAINTAINED MEMORY · VERIFIED 2026-09-30

Apache-2.0 · Python servers · how we verify → /methodology

01 · Install Skillmem

before you install - you'll need

The README does not document required environment variables for a basic install.

Claude Code

claude mcp add liza-studio-skillmem -- uvx skillmem

Claude Desktop / Cursor / VS Code - add to config

{
  "mcpServers": {
    "liza-studio-skillmem": {
      "command": "uvx",
      "args": [
        "skillmem"
      ]
    }
  }
}

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

repo age created 2026-08-30 - young repo, little track record yet

license Apache-2.0 - declared in the repository

pypi package skillmem - check the name against the project README before installing (PyPI has no namespace ownership)

registry namespace io.github.liza-studio is GitHub-verified and matches the repo owner

03 · What Skillmem can do

Prose above is summarized from the project's README and registry record - no invented capabilities.

Latest releases

v0.12.0 · 2026-09-27

skillmem 0.12.0 · A correctness release. Several things that used to succeed quietly are now refused or reported, so read the upgrade notes first. · pip install -U skillmem # or: uvx skillmem mcp · skillmem init…

v0.11.3 · 2026-09-24

Hotfix on top of 0.11.2. · Recall no longer delivers a record twice and drops another. 0.11.2 re-emitted a whole section to spend a leftover budget share. Each section's contents are now planned in full before…

v0.11.2 · 2026-09-21

The hook composer filled its character budget section by section in order. Three feedback rows at 400 body chars fill a 1500-char budget, so the skills section no longer fit and was dropped whole - header, rows and…

04 · Who maintains Skillmem

skillmem is maintained by liza-studio. It's the only MCP server we track from this author; the repo dates to Aug 2026.

05 · Facts

repository: github.com/liza-studio/skillmem
website: https://skillmem.dev/
category: memory - ranked #55 of 321 actively-maintained memory servers as of 2026-09-30.
release cadence: 10+ releases in the last 90 days (latest 2026-09-27)
registry: io.github.liza-studio/skillmem (active, first published 2026-09-15 · 13 versions)
packages: pypi:skillmem

06 · Skillmem FAQ

What is Skillmem?

Self-improving skills for Claude Code and Codex - your agents learn, recall, reinforce, and forget. It runs locally over stdio via the published package.

Is Skillmem still maintained?

Yes - as of 2026-09-30, its last commit was 2026-09-28 and it shipped 10+ releases in the last 90 days. We re-verify nightly.

How do I install Skillmem?

Run `uvx skillmem`. The README does not document required environment variables for a basic install. You can also paste the ready-made client config above.

Does Skillmem 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 Skillmem

Alternatives to Skillmem

Maintained memory servers if Skillmem isn't the fit.

Pairs well with

Servers that cover what Skillmem doesn't - only shown when the pairing reason fits the companion.

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