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Memory-DB: Instructions file for Claude Code

CLAUDE.md

Memory-DB CLAUDE.md is an instructions file for Claude Code from cunzai97/Memory-DB. It costs 473 tokens per session, scanned A, original, MIT.

Instructions for Memory-DB, a vector memory system for AI agents. It stores text in Qdrant, a database for similarity search, and uses llama.cpp to create the numerical representations used for searching.

In plain words
What is it for?
Use it to store memories, search them by meaning, update or delete them, and inspect the four available MCP tools.
Why use it?
It defines how agents can save, find, change, and remove memories, including duplicate detection and search settings.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is cunzai97/Memory-DB's own configuration. It tells Claude Code how to work on Memory-DB itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Memory-DB configures →

not rated 2repo 4mo ago A scan 473 tokens original MIT
View source ↗ cunzai97/Memory-DB
Reuse

Borrowing it

Nothing to install: this file belongs to cunzai97/Memory-DB. 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/cunzai97/Memory-DB/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/cunzai97/Memory-DB

Made for: Claude Code.

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Per session 473 This file is loaded in full into every session.
When invoked 473 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00473 $0.00473
Opus 5.5 $0.00189 $0.00189
Sonnet 5.5 $0.00095 $0.00095
Haiku 4.5 $0.00047 $0.00047

Measured 2mo ago against content hash c01e39476799, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Memory-DB 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 2mo 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 · 42 lines

What it actually says

Memory-DB — CLAUDE.md

Vector memory for AI agents: Qdrant (storage) + llama.cpp :8081 (embeddings). 4 MCP tools. Content must be <1024 tokens.

The Harness

Assertive pushback is non-negotiable. See global ~/.claude/CLAUDE.md § The Harness.

The 4 Tools (MCP)

store_memory(content, tags?, dedup_threshold=0.85)

Store text → vector. Dedup ≥ 0.85 replaces similar memories; set to 0 to disable. Returns {id, deduped}.

get_memories(query, limit=5, min_score=0.5)

Search by cosine similarity. Each hit increments recall_count. Returns sorted [{id, content, score, ...}] or [].

update_memory(memory_id, content?, old_text?, new_text?, tags?)

Update memory by ID. Two modes:

  • Full replace: content="..." — replaces entire content; re-encodes vector.
  • Partial replace: oldText="match" newText="replace" — finds exact substring and substitutes it; re-encodes vector.

At least one required. content and (oldText+newText) are mutually exclusive. Returns {updated: true, id, changes, update_type}.

delete_memory(memory_id)

Delete a memory by ID. Returns {deleted: true, id} or {deleted: false, id, error}.

Management CLI (not exposed to MCP)

memory-db-manage list [--limit N]           # list all memories
memory-db-manage export --path backups.json # JSON backup
memory-db-manage import --path backups.json # restore + re-encode
memory-db-manage rebuild                    # re-encode with current model
memory-db-manage purge ...                  # dry-run by default, add --execute to delete
memory-db-manage delete-all                 # destructive, requires confirm

Common Pitfalls

  • MCP failures are silent — always verify tool availability at session start.
  • Subagents can't use MCP tools — never delegate memory operations to background agents.
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. 2mo ago First seen · 42 lines · 473 tokens per session scan A c01e39476799

Subscribe to this mod's changes

Memory-DB CLAUDE.md is an instructions file published in the GitHub repository cunzai97/Memory-DB (2 stars, last pushed 4mo ago), licensed MIT. It adds 473 tokens to every session, about $0.0019 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 2026-08-31.

Data and AIMemory and contextRAG and vectors
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