cavemem CLAUDE.md

A set of project instructions for cavemem, a persistent memory system for coding assistants. It explains the project’s compressed-text storage, SQLite and vector search, MCP server, web viewer, and rules for preserving that format.

In plain words
What is it for?
Use it when modifying memory storage, compression or expansion, database access, the MCP server, the web viewer, or any code that saves or displays memory.
Why use it?
It prevents changes from writing data in the wrong form or bypassing the project’s storage rules, which could make saved memories inconsistent or unusable.

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/juliusbrussee/cavemem/claude-md
Clone the repo
git clone --depth 1 https://github.com/JuliusBrussee/cavemem
Per session 1,990 This file is loaded in full into every session.
When invoked 1,990 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 $0.01990 $0.01990
Opus 5 $0.00995 $0.00995
Sonnet 5 $0.00398 $0.00398
Haiku 4.5 $0.00199 $0.00199

Measured yesterday against content hash eb085fe4b66d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cavemem 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 yesterday.

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 · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

cavemem — Agent Playbook

This file is the source of truth for AI coding assistants working on this repository. Follow it before generating code, tests, or documentation. If a request conflicts with this file, pause and ask.

Project identity

cavemem is a cross-agent persistent memory system for coding assistants. It captures observations from editor sessions, compresses prose using the project's deterministic caveman grammar, stores entries in a local SQLite + vector index, and exposes them to agents through a Model Context Protocol (MCP) server and a local web viewer.

The signature property of the project is that memory is stored compressed. Every write path runs text through @cavemem/compress. Every human-facing read path runs it back through @cavemem/compress#expand. Model-facing reads may keep content compressed when the caller requests it.

Non-negotiable rules

  1. All persisted prose must pass through packages/compress before hitting storage. Writing raw prose to SQLite is a defect. If you add a new write path, it must use MemoryStore, which enforces this.
  2. Never compress technical tokens. Code blocks, inline code, URLs, file paths, shell commands, version numbers, dates, numeric literals, and quoted identifiers are preserved byte-for-byte. The tokenizer in packages/compress/src/tokenize.ts is the single authority.
  3. Round-trip tests must pass. Any change to the compressor, the lexicon, or the tokenizer requires pnpm --filter @cavemem/compress test green, including the technical-token preservation suite.
  4. Progressive disclosure in MCP. search and timeline return compact results (IDs + snippets). Full observation bodies are only returned by get_observations(ids[]). Do not bloat the compact shapes.
  5. Hot-path hooks are fast. Hook handlers in packages/hooks must complete under 150 ms p95. Summarization, embedding, and indexing are handed off to the worker. No network calls in hooks.
  6. Privacy is enforced at the write boundary. Content inside <private>…</private> tags is stripped. Paths matching settings.excludePatterns are never read. Neither appears in logs.
  7. Local by default. Default embedding provider is local (Transformers.js). Remote providers are opt-in via settings. Do not add default network calls.
  8. No silent failures. Hook and worker errors are logged as structured JSON; user-visible commands surface failures with a non-zero exit code and a short message.
  9. No daemon on the write path. Hooks write observations synchronously through MemoryStore.addObservation — never across a network or HTTP boundary. Hooks may detach-spawn the worker to kick off background embedding, but they must never wait on it. If the worker is down, writes still succeed; only the semantic-search side is degraded (BM25 keeps working).

Read the full file on GitHub · 95 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. yesterday First seen · 95 lines · 1,990 tokens per session scan A eb085fe4b66d

Subscribe to this mod's changes

cavemem CLAUDE.md is an instructions file published in the GitHub repository JuliusBrussee/cavemem (674 stars, last pushed 17d ago), licensed MIT. It adds 1,990 tokens to every session, about $0.0100 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 2026-08-30.

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