Borrowing it
Nothing to install: this file belongs to arman-tech/spatial-memory-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/arman-tech/spatial-memory-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/arman-tech/spatial-memory-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/arman-tech/spatial-memory-mcp/claude-md)<a href="https://agentmods.dev/instructions/arman-tech/spatial-memory-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/arman-tech/spatial-memory-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/arman-tech/spatial-memory-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/arman-tech/spatial-memory-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 | $0.00915 | $0.00915 |
| Opus 5.5 | $0.00366 | $0.00366 |
| Sonnet 5.5 | $0.00183 | $0.00183 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
spatial-memory-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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spatial Memory MCP - Contributor Guide
This document helps AI assistants (and human contributors) work effectively on this codebase.
Project Overview
spatial-memory-mcp is a persistent semantic memory MCP server for LLMs. It provides vector-based memory storage with spatial navigation capabilities using LanceDB and sentence-transformers.
Architecture
spatial_memory/
├── server.py # MCP server, tool handlers, instructions injection
├── factory.py # Dependency injection, service instantiation
├── config.py # Settings (Pydantic), environment configuration
├── core/ # Core infrastructure
│ ├── database.py # LanceDB wrapper, CRUD operations
│ ├── embeddings.py # Sentence-transformer embedding service
│ ├── models.py # Pydantic data models (Memory, etc.)
│ ├── errors.py # Exception hierarchy
│ ├── validation.py # Input validation, security checks
│ ├── security.py # Security utilities
│ ├── db_*.py # Database utilities (search, indexes, migrations)
│ └── spatial_ops.py # SLERP, vector operations
├── services/ # Business logic layer
│ ├── memory.py # Core memory operations (remember, recall, forget)
│ ├── spatial.py # Spatial operations (journey, wander, regions)
│ ├── lifecycle.py # Decay, reinforce, consolidate, extract
│ ├── export_import.py# Import/export functionality
│ └── utility.py # Stats, namespaces, health
├── adapters/ # External service adapters
├── ports/ # Interface definitions
└── tools/ # MCP tool definitions
Key Commands
# Run tests (unit tests only by default)
pytest tests/ -v
# Run all tests including integration
pytest tests/ -v -m ""
# Run integration tests only
pytest tests/ -v -m integration
# Type checking
mypy spatial_memory/
# Linting
ruff check spatial_memory/ tests/
# Format code
ruff format spatial_memory/ tests/
# Run the server directly
python -m spatial_memory
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 · 103 lines · 915 tokens per session scan A 4d21ac7e556c
spatial-memory-mcp CLAUDE.md is an instructions file published in the GitHub repository arman-tech/spatial-memory-mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 915 tokens to every session, about $0.0037 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.
spatial-memory-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| spatial-memory-mcp CLAUDE.mdarman-tech/spatial-memory-mcp | Instructions file | 1 | 6mo ago | MIT | A | 915 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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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 |