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/skye-flyhigh/mnemo-mcp/claude-mdgit clone --depth 1 https://github.com/Skye-flyhigh/mnemo-mcpWrote 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.
[](https://agentmods.dev/instructions/skye-flyhigh/mnemo-mcp/claude-md)<a href="https://agentmods.dev/instructions/skye-flyhigh/mnemo-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/skye-flyhigh/mnemo-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00834 | $0.00834 |
| Opus 5 | $0.00417 | $0.00417 |
| Sonnet 5 | $0.00167 | $0.00167 |
| Haiku 4.5 | $0.00083 | $0.00083 |
Grade A, and why
mnemo-mcp 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — mnemo-mcp
What is mnemo-mcp
A standalone MCP server that provides persistent, decaying, associative memory to any MCP-compatible AI agent. Local-first, pluggable embeddings, zero mandatory cloud dependency.
Key differentiator
Cognitive decay. Memories fade unless reinforced. Core memories persist. This isn't a flat database — it's a portable hippocampus.
Quick Reference
Build & Run
npm install # Install dependencies
npm run build # Compile TypeScript
npm start # Run the MCP server (stdio)
npm run dev # Watch mode
Test with MCP Inspector
npx @modelcontextprotocol/inspector node dist/index.js
Environment Variables
MNEMO_EMBEDDING_PROVIDER=ollama # ollama (default) or openai
MNEMO_EMBEDDING_MODEL=nomic-embed-text # Model name (provider-aware defaults)
MNEMO_EMBEDDING_BASE_URL= # API base URL (provider-aware defaults)
MNEMO_EMBEDDING_API_KEY= # Required for openai provider
MNEMO_DIMENSIONS=768 # Embedding dimensions
MNEMO_DB_PATH=~/.mnemo/memory.db # SQLite database path
Architecture
src/
index.ts # MCP server entry (stdio transport, 6 tools)
store.ts # VectorStore (better-sqlite3 + sqlite-vec)
embeddings.ts # Embedding providers (Ollama + OpenAI-compatible) + factory
memory.ts # Memory manager (add, search, delete, bump, decay)
types.ts # Types, interfaces, constants, config
utils.ts # Hash, ID generation helpers
MCP Tools
| Tool | Description |
|---|---|
remember |
Store a memory with tag, categories, namespace |
remember_batch |
Store multiple memories in one call (batch embedding) |
recall |
Semantic search by query (default 10 results) |
forget |
Delete a memory by ID |
update |
Patch content or metadata of an existing memory |
bump |
Reinforce a memory's weight |
decay |
Trigger decay cycle (tag-based weight reduction) |
inspect |
View a specific memory or aggregate stats |
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.
- 5d ago First seen · 83 lines · 834 tokens per session scan A 1d549bf0892a
mnemo-mcp CLAUDE.md is an instructions file published in the GitHub repository Skye-flyhigh/mnemo-mcp (2 stars, last pushed 5mo ago), licensed MIT. It adds 834 tokens to every session, about $0.0042 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.
Other instructions, from other repositories
mindkeg-mcp CLAUDE.md
Instructions for carloluisito/mindkeg-mcp, covering mind keg mcp — development guide for ai agents, project overview, repository layout, code conventions and typescript.
exocortex CLAUDE.md
Claude Code instructions for shawnhack/exocortex, covering exocortex, stack, key commands, mcp setup and data directory.
mfs AGENTS.md
Instructions for zilliztech/mfs, a project described as: A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like interface.
ReMe AGENTS.md
AGENTS.md instructions for agentscope-ai/ReMe, covering agents.md, project principles, sources of truth, repository map and development setup.
ironcurtain CLAUDE.md
Claude Code instructions for provos/ironcurtain, covering claude.md, general workflow, git & worktrees, git workflow and platform considerations.
ironcurtain types.instructions.md
Instructions for provos/ironcurtain, covering types review rules and mandatory checks.