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memory-boost MCP server

by arnaugonzalez·io.github.arnaugonzalez/memory-boost·v0.2.0

Markdown memory for coding agents that audits itself: drift reports and session digests.

A92/100grade A
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If you have run it, two minutes of your experience saves the next person an afternoon.

memory-boost tools

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How memory-boost compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 95% of 48,255 servers

Release history: 2 versions in the registry since 2026-09-26, latest 2026-10-18, typically one every 22 days.

Install memory-boost in Claude Code, Cursor or VS Code

claude mcp add memory-boost -- uvx memory-boost
Add to Cursor

What the publisher says

From the memory-boost repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.arnaugonzalez/memory-boost --> memory-boost

Memory for coding agents that reviews itself.

drift, mine and lessons on the bundled example data · everything runs locally

Try it · What it answers · Connect your agent · How it works · vs. alternatives

Your agents write everything down. Nobody reads it back.

Every memory tool for coding agents helps them remember more. None of them mention that half of what they remember expired in July. memory-boost keeps a plain-markdown memory your agents read and write over MCP, and then does the unglamorous part: it audits that memory and your own sessions, and tells you what drifted. Politely, with numbers.

Think of it as a code review for what your agents remember and a fitness tracker for how you work with them. Mostly the fitness tracker: mine told me my most-failed command was cd. Sixty-nine times.

What it answers

Try it in 30 seconds

No install needed; the wiki lands in ~/.local/share/memory-boost:

uvx memory-boost init --example   # sample wiki with five kinds of rot + four synthetic transcripts
uvx memory-boost drift            # what in that memory is stale, orphaned or never written down
uvx memory-boost mine             # now on your real ~/.claude/projects: aggregates only

To keep it in Claude Code, install the plugin. It brings the MCP server, the session-start brief and the skills in one step; it only needs uv on your PATH.

/plugin marketplace add arnaugonzalez/memory-boost
/plugin install memory-boost@memory-boost

Other agents, or the CLI on its own: uv tool install memory-boost (or pipx install memory-boost).

On a real machine

Five weeks of the author's own daily use: 29 decisions, 24 projects, 657 Claude Code transcripts. Output as produced; only project and file names are replaced.

$ memory-boost drift
# Drift report — 2026-09-24
29 decisions · 24 projects · 204 log entries · 33 open checkpoints · **20 findings**

## decision-expired (9)
- deploy-via-bastion — review_by 2026-07-08 (78 days ago); revisit or mark historic
- bot-guardrails — review_by 2026-07-08 (78 days ago); revisit or mark historic
  …
## project-no-decisions (2)
- thesis-solver — 20 sessions logged, 0 decisions tagged 'thesis-solver': the learning lives only in transcripts
## project-silent (5)
- mood-api — last session 2026-04-16 (161 days ago); still listed as live
  …

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

memory-boost: common questions

Is memory-boost MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the memory-boost safety report
How do I install memory-boost?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does memory-boost need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is memory-boost maintained?
The last commit was 39 days ago (2026-09-26). The latest release is v0.2.0.
What can I use instead of memory-boost?
Servers from other publishers that do the same job: Deja Vu MCP server and Tradememory Protocol MCP server.

Alternatives to memory-boost

Same job from other publishers: the closest match first, then the best rated.

  • Deja Vu
    deja-vu: local memory over the session histories of forty-three coding agents.
    A
  • Tradememory Protocol
    Tamper-evident decision audit trail and outcome-weighted memory for AI trading agents.
    B