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/xsaven/vector-memory-mcp/claude-mdgit clone --depth 1 https://github.com/Xsaven/vector-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/xsaven/vector-memory-mcp/claude-md)<a href="https://agentmods.dev/instructions/xsaven/vector-memory-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/xsaven/vector-memory-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 | $0.01021 | $0.01021 |
| Opus 5 | $0.00511 | $0.00511 |
| Sonnet 5 | $0.00204 | $0.00204 |
| Haiku 4.5 | $0.00102 | $0.00102 |
Grade A, and why
vector-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 4d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vector Memory MCP Server
Project Overview
MCP (Model Context Protocol) Server для векторної пам'яті з використанням sqlite-vec для семантичного пошуку.
Technology Stack
- Python: 3.11.8 (requires >= 3.10)
- Package Manager:
uv(сучасний Python package manager) - Database: SQLite 3.43.2 + sqlite-vec extension
- Embeddings: sentence-transformers/all-MiniLM-L6-v2 (384-dimensional vectors)
- MCP Framework: FastMCP >= 0.3.0
Key Dependencies
mcp>=0.3.0- Model Context Protocol frameworksqlite-vec>=0.1.6- Vector search extension для SQLitesentence-transformers>=2.2.2- Embedding models
Project Structure
main.py- Entry point with uv script configurationrequirements.txt- Python dependencies for pip/venv compatibilitypyproject.toml- Modern Python project configuration.python-version- Python version specification (3.11)claude-desktop-config.example.json- Claude Desktop configuration templatesrc/models.py- Data models and configurationsrc/security.py- Security validation and sanitizationsrc/memory_store.py- Vector memory storage operationssrc/embeddings.py- Embedding generationmemory/- SQLite database storage directory
How to Run
Standalone
# On Apple Silicon (M1/M2/M3) - use run-arm64.sh script
./run-arm64.sh --working-dir /your/working/directory
# With custom memory limit (default: 10,000 entries)
./run-arm64.sh --working-dir /your/working/directory --memory-limit 100000
# Alternative with conda Python (has SQLite extensions support)
~/miniconda3/envs/vector-mcp/bin/python main.py --working-dir ./ --memory-limit 100000
# Using uv (requires Python with SQLite extensions support)
uv run main.py --working-dir ./ --memory-limit 100000
Configuration Options
--working-dir- Working directory for memory database (required, default: current directory)--memory-limit- Maximum number of memory entries (optional, default: 10,000)- Minimum: 1,000 entries
- Maximum: 10,000,000 entries
- Recommended for large projects: 100,000-1,000,000
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.
- 4d ago First seen · 105 lines · 1,021 tokens per session scan A b91590f39b13
vector-memory-mcp CLAUDE.md is an instructions file published in the GitHub repository Xsaven/vector-memory-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 1,021 tokens to every session, about $0.0051 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 2026-09-01.
Other instructions, from other repositories
cognirepo CLAUDE.md
Claude Code instructions for ashlesh-t/cognirepo, covering claude.md, key rules, session start sequence (run in this order), behavioral confirmation rule and personas (cognirepo-402, cognirepo-403).
aeon CLAUDE.md
Instructions for aeonfun/aeon, covering aeon, how aeon works, strategy, voice and soul file hierarchy (read in this order).
wayland-core copilot-instructions.md
Copilot instructions for FerroxLabs/wayland-core, covering ijfw rules, output discipline, memory routing, context discipline and cross-audit.
mcp-structured-memory CLAUDE.md
Claude Code instructions for nmeierpolys/mcp-structured-memory, a project described as: Structured Memory MCP Server.
inkwell-memory CLAUDE.md
Instructions for veronchenko/inkwell-memory, covering claude.md — inkwellmemory, layout, multi-tenant mode (inkwellmultitenant=1), conventions and testing.
memory-mcp-1file AGENTS.md
Instructions for pomazanbohdan/memory-mcp-1file, covering ⛔ l0 invariants (never violate under any circumstance), detection heuristic, 🔀 phase transition routing (⛔ blocking), gate-0: phase identification & loading and 🧾 proof-of-load requirement (critical).