Borrowing it
Nothing to install: this file belongs to Skye-flyhigh/mnemo-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Skye-flyhigh/mnemo-mcp/main/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/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.
<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="Reviewed on agentmods" width="80" 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 5.5 | $0.00334 | $0.00334 |
| Sonnet 5.5 | $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 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.
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.
- 2mo 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 8mo ago), licensed MIT. It adds 834 tokens to every session, about $0.0033 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.
mnemo-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mnemo-mcp CLAUDE.mdSkye-flyhigh/mnemo-mcp | Instructions file | 2 | 8mo ago | MIT | A | 834 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| 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 |