What is memoryClaw CLAUDE.md?

A project instruction file for MemoryClaw, an open-source library that gives AI agents persistent memory and context management. It records project status, including completed memory search and multi-user isolation work.

Use it when developing or reviewing MemoryClaw, especially its MCP tools, n8n workflows, SQLite storage, working memory, and multi-user features.

It helps an agent understand the current state of the project before changing it. This lowers the risk of repeating completed work or breaking user separation.

How tostechbr/memoryClaw configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to tostechbr/memoryClaw. 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/tostechbr/memoryClaw/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/tostechbr/memoryClaw

Made for: Claude Code.

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

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Your own site

<a href="https://agentmods.dev/instructions/tostechbr/memoryclaw/claude-md"><img src="https://agentmods.dev/badge/instructions/tostechbr/memoryclaw/claude-md/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

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Per session 6,485 This file is loaded in full into every session.

When invoked 6,485 The same file — it is already loaded in full.

Security scan A 1 finding. 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	$0.06485	$0.06485
Opus 5.5	$0.02594	$0.02594
Sonnet 5.5	$0.01297	$0.01297
Haiku 4.5	$0.00649	$0.00649

Measured 2mo ago against content hash 070c511c322b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memoryClaw CLAUDE.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

└── webhook-scenarios.sh # ← 7 cenários e2e (11 assertions) via curl

CLAUDE.md · 734 lines

How it starts

The opening of the file, as written. The whole thing — 734 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MemoryClaw

Open-source library for adding persistent memory and context management to AI agents.

Reference: Architecture based on Moltbot memory system.

Project Status

Phase 1: Memory Search      ✅ COMPLETE (MCP + n8n working)
Phase 1.5-n8n: Quick Wins   ✅ COMPLETE (2026-02-06)
                            - memory_store/delete tools ✅
                            - 20 unit tests (100%) ✅
                            - 3 n8n workflows ✅
                            - Architecture docs ✅
Phase 1.5-QA: Tests & Bugs  ✅ COMPLETE (2026-02-06)
                            - 2 bugs fixed (sync orphans, force reindex) ✅
                            - Integration tests (15 tests) ✅
                            - QA scenarios (17 assertions) ✅
                            - 140 total tests passing ✅
Sprint 0: Multi-User        ✅ COMPLETE (2026-03-06)
                            - userId param in all 4 MCP tools ✅
                            - Per-user workspace (users/{userId}/) ✅
                            - Per-user SQLite DB ✅
                            - Working memory (context.json) ✅
                            - memory_context MCP tool ✅
                            - 12 isolation tests (100%) ✅
                            - Validated in n8n (store+search+isolation) ✅
                            - Bug fixes: path validation, minScore 0.35→0.15 ✅
Sprint 1: Vector Search     ✅ COMPLETE (2026-03-07)
                            - cosineSimilarity() + searchVectorInProcess() ✅
                            - Hybrid merge using real vector results ✅
                            - memory_add tool (LLM extract + merge) ✅
                            - extractionModel configurable (default: gpt-4o-mini) ✅
                            - 149 total tests passing (10 new math + 4 memory_add) ✅
Sprint 1 E2E Validation     ✅ COMPLETE (2026-03-07)
                            - n8n webhook workflow validated end-to-end ✅
                            - 11/11 e2e scenarios passing ✅
                            - Workflow JSON exported: examples/n8n-memory-claw-memory-test.json ✅
                            - Test script: tests/e2e/webhook-scenarios.sh ✅
                            - Fix: MCP Client toolDescription with explicit param schemas ✅
Sprint 2: Context Management 🎯 NEXT
Phase 3: Session Lifecycle  📋 FUTURE

Read the full file on GitHub · 734 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.

2mo ago First seen · 734 lines · 6,485 tokens per session scan A 070c511c322b

Subscribe to this mod's changes

memoryClaw CLAUDE.md is an instructions file published in the GitHub repository tostechbr/memoryClaw (8 stars, last pushed 8mo ago), licensed MIT. It adds 6,485 tokens to every session, about $0.0259 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

LLM Memory and context agent context-engine mcp mcp-server

memoryClaw CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
memoryClaw CLAUDE.mdtostechbr/memoryClaw	Instructions file	8	8mo ago	MIT	A	6,485	Claude Code
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vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

memoryClaw: Instructions file for Claude Code