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.
npx agentmods add instructions/tostechbr/memoryclaw/claude-mdgit clone --depth 1 https://github.com/tostechbr/memoryClawWhat 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 | $0.06485 | $0.06485 |
| Opus 5 | $0.03243 | $0.03243 |
| Sonnet 5 | $0.01297 | $0.01297 |
| Haiku 4.5 | $0.00649 | $0.00649 |
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 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.
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 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
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.
- 2d ago First seen · 734 lines · 6,485 tokens per session scan A 070c511c322b
memoryClaw CLAUDE.md is an instructions file published in the GitHub repository tostechbr/memoryClaw (8 stars, last pushed 5mo ago), licensed MIT. It adds 6,485 tokens to every session, about $0.0324 per session on Opus 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.
Other instructions, from other repositories
Backlog.md AGENTS.md
AGENTS.md instructions for MrLesk/Backlog.md, covering read this first, simplicity-first implementation rules, ui descriptions, commands and development.
Backlog.md copilot-instructions.md
Copilot instructions for MrLesk/Backlog.md, covering ⚠️ important, commands, development, testing and configuration management.
dirge CLAUDE.md
Claude Code instructions for dirge-code/dirge, covering project instructions for ai agents, beads issue tracker, quick reference, rules and session completion.
Backlog.md CLAUDE.md
Claude Code instructions for MrLesk/Backlog.md, a project described as: Backlog.md - A tool for managing project collaboration between humans and AI Agents in a git ecosystem.
harness-kanban AGENTS.md
AGENTS.md instructions for Orenoid/harness-kanban, covering repository guidelines, project introduction, key features, technology stack and project structure.
harness-kanban CLAUDE.md
Claude Code instructions for Orenoid/harness-kanban, covering repository guidelines, project introduction, key features, technology stack and project structure.