longmem CLAUDE.md

Instructions for Claude Code projects using longmem, a local memory database that searches stored problem-and-solution pairs. They define when to search before solving and when to save a confirmed solution.

In plain words
What is it for?
Enforcing an automatic memory workflow across projects that use the longmem server.
Why use it?
They make Claude Code consistently reuse earlier fixes and preserve new solutions for future work.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/marerem/longmem/claude-md
Clone the repo
git clone --depth 1 https://github.com/marerem/longmem
Per session 2,091 This file is loaded in full into every session.
When invoked 2,091 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.02091 $0.02091
Opus 5 $0.01045 $0.01045
Sonnet 5 $0.00418 $0.00418
Haiku 4.5 $0.00209 $0.00209

Measured 2d ago against content hash 18dddc94372d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

longmem CLAUDE.md 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 2d 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.

CLAUDE.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

longmem

MCP plugin that stores problem/solution pairs in a local vector DB (LanceDB) and suggests cached solutions across projects using embedding similarity search.

Auto-memory workflow — follow every time

Step 1 — search before solving

Before reasoning about any bug, error, or implementation question, call:

search_similar(
  problem="<clear description of what is broken or needed>",
  category="<best matching category>",
  tags=["<library>", "<tool>", "<error type>"],
  language="<language if relevant>"
)
  • Similarity ≥ 85%: present the cached solution first. Check edge_cases — if any apply, say so upfront.
  • Similarity < 85%: solve normally, then go to Step 2.

Step 2 — save after confirmed solve

Wait until the conversation reaches a natural end (user confirms it works, no more follow-ups). Then synthesize and call:

confirm_solution(
  solution="<synthesized, reusable answer — see format below>",
  project="longmem"
)

Problem description, category, tags, and language are filled in automatically from the Step 1 call.

How to write solution for maximum reuse:

  • State the general pattern or principle first
  • Then give the specific detail from this session as an example
  • Bad: "Port 4181 is used by the auth proxy for Paperless"
  • Good: "Port 418x is typically an OAuth2 auth proxy frontend. Default is 4180. Use 4181+ when 4180 is already taken by another auth proxy in the same stack. Example: Sifonia on 4180, Paperless-NGX auth proxy on 4181."

If you did not call search_similar first (skipped Step 1), fall back to:

save_solution(
  problem="<clear, reusable description — not tied to this repo>",
  solution="<synthesized answer as above>",
  category="<category>",
  project="longmem",
  tags=["<library>", "<tool>", "<error type>"],
  language="<language>"
)

Step 3 — fix or enrich after saving

If entry_id is in context (same conversation as the save):

  • Correction (wrong name/term): correct_solution(entry_id=..., find=..., replace=...)
  • New facts/context: enrich_solution(entry_id=..., context=...)
  • Failure/exception: add_edge_case(entry_id=..., edge_case=...)

Read the full file on GitHub · 198 lines

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.

  1. 2d ago First seen · 198 lines · 2,091 tokens per session scan A 18dddc94372d

Subscribe to this mod's changes

longmem CLAUDE.md is an instructions file published in the GitHub repository marerem/longmem (1 stars, last pushed 4mo ago), licensed MIT. It adds 2,091 tokens to every session, about $0.0105 per session on Opus 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 2026-08-31.

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