What is mind-mem-development?

A development guide for MIND-Mem, a Python package that stores, searches, updates, and restores structured memories. It describes the package layout, tests, architecture, and its MCP server, which exposes tools to coding agents.

Use it when developing or reviewing MIND-Mem code, especially retrieval, memory updates, SQLite storage, snapshots and rollback, intent classification, diagnostics, or MCP server integrations.

It helps an agent work within MIND-Mem's existing design and avoid guessing how its memory search, storage, snapshots, or server tools work.

How star-ga/mind-mem configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to star-ga/mind-mem. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/star-ga/mind-mem/main/.agents/skills/mind-mem-development/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/star-ga/mind-mem

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/star-ga/mind-mem/mind-mem-development/github.svg)](https://agentmods.dev/skills/star-ga/mind-mem/mind-mem-development)

Your own site

<a href="https://agentmods.dev/skills/star-ga/mind-mem/mind-mem-development"><img src="https://agentmods.dev/badge/skills/star-ga/mind-mem/mind-mem-development/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/star-ga/mind-mem/mind-mem-development"><img src="https://agentmods.dev/badge/skills/star-ga/mind-mem/mind-mem-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 477 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00012	$0.00477
Opus 5.5	$0.00005	$0.00191
Sonnet 5.5	$0.00002	$0.00095
Haiku 4.5	$0.00001	$0.00048

Measured 1mo ago against content hash f47fa134e65f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mind-mem-development scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/mind-mem-development/SKILL.md · 50 lines

What it actually says

MIND-Mem Development

Package

PyPI: pip install mind-mem
Source layout: src/mind_mem/
Tests: pytest, 3610 passing
CI: GitHub Actions, 3 OS × 4 Python versions (16 matrix jobs)

Architecture

BM25F retrieval with Porter stemming + RM3 query expansion
Hybrid BM25+Vector search with RRF fusion (sqlite-vec)
A-MEM block metadata evolution
9-type intent router with adaptive confidence weights
ConnectionManager: thread-safe SQLite pool with WAL
BlockStore protocol: decoupled block access
Delta-based snapshot rollback

MCP Server (81 tools)

Grouped surfaces (full list in docs/api-reference.md and src/mind_mem/mcp_server.py): recall, hybrid_search, prefetch, propose_update, approve_apply, rollback_proposal, scan, list_contradictions, reindex, index_stats, create_snapshot, list_snapshots, restore_snapshot, briefing, category_summary, cross_encoder_rerank, find_similar, memory_evolution, delete_memory, export_memory, import_memory, intent_classify, retrieval_diagnostics, get_mind_kernel, list_mind_kernels, verify_chain, audit_replay, tier_decay_apply, encrypt_status, alerts_subscribe, and more (57 total).

Key Files

src/mind_mem/mcp_server.py — MCP server (57 @mcp.tool entries)
src/mind_mem/retrieval/ — search engine (bm25, vector, hybrid)
src/mind_mem/governance/ — contradiction detection, drift analysis
src/mind_mem/blocks/ — block store, parser, evolution
tests/ — comprehensive test suite

Conventions

Python 3.10+, type hints everywhere
Docstrings: Google style
No dynamic allocation in hot paths
All SQL queries parameterized
Config: mind-mem.json (not mem-os.json)
Auth header: X-MindMem-Token

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago First seen · 50 lines · 12 tokens per session scan A f47fa134e65f

Subscribe to this mod's changes

mind-mem-development is a skill published in the GitHub repository star-ga/mind-mem (18 stars, last pushed yesterday), licensed Apache-2.0. It adds 12 tokens to every session and 477 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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