Borrowing it
Nothing to install: this file belongs to henryhawke/mcp-titan. 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/henryhawke/mcp-titan/main/CLAUDE.mdgit clone --depth 1 https://github.com/henryhawke/mcp-titanWrote 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/henryhawke/mcp-titan/claude-md)<a href="https://agentmods.dev/instructions/henryhawke/mcp-titan/claude-md"><img src="https://agentmods.dev/badge/instructions/henryhawke/mcp-titan/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/henryhawke/mcp-titan/claude-md"><img src="https://agentmods.dev/badge/instructions/henryhawke/mcp-titan/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 | $0.00784 | $0.00784 |
| Opus 5 | $0.00392 | $0.00392 |
| Sonnet 5 | $0.00157 | $0.00157 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
mcp-titan 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 10d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is mcp-titan, a sophisticated neural memory system for LLMs that provides persistent memory capabilities through an MCP (Model Context Protocol) server. The system uses TensorFlow.js for neural computations and implements transformer-based memory mechanisms.
Development Commands
Core Commands
bun run build- Compile TypeScript to JavaScriptbun run typecheck- Type check without emitting filesbun run lint- Run ESLint with zero warnings policybun run lint:fix- Auto-fix ESLint issuesbun test- Run Jest tests with experimental VM modulesbun run clean- Remove build artifacts
Model Training Commands
bun run train-model- Train the model with default settingsbun run train-quick- Quick training for developmentbun run train-production- Full production trainingbun run download-data- Download training datasetsbun run test-model- Test model functionality
Server Commands
bun start- Start the MCP server (production)bun --watch src/index.ts- Development mode with auto-restart
Architecture Overview
Core Components
TitanMemoryServer (src/index.ts) - Main MCP server that registers 16 tools for memory operations including:
- Model initialization and configuration
- Forward passes and training steps
- Memory state management and pruning
- Checkpoint saving/loading
- Bootstrap memory from URLs/text
- Online learning service
TitanMemoryModel (src/model.ts) - Neural memory implementation with:
- Transformer-XL inspired architecture
- Hierarchical memory (short-term, long-term, meta)
- Information-gain based pruning
- Surprise-based learning
- Tensor memory management
Key Services:
- LearnerService (
src/learner.ts) - Online learning with replay buffer - AdvancedTokenizer (
src/tokenizer/) - BPE tokenization and embeddings - MemoryPruner (
src/pruning.ts) - Intelligent memory pruning - VectorProcessor (
src/utils.ts) - Text encoding and vector operations
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.
- 10d ago First seen · 101 lines · 784 tokens per session scan A 08629f8909ce
mcp-titan CLAUDE.md is an instructions file published in the GitHub repository henryhawke/mcp-titan (91 stars, last pushed 2mo ago), licensed MIT. It adds 784 tokens to every session, about $0.0039 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 2026-08-30.
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