Borrowing it
Nothing to install: this file belongs to kvas-it/mcp-ltm. 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/kvas-it/mcp-ltm/master/CLAUDE.mdgit clone --depth 1 https://github.com/kvas-it/mcp-ltmWrote 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/kvas-it/mcp-ltm/claude-md)<a href="https://agentmods.dev/instructions/kvas-it/mcp-ltm/claude-md"><img src="https://agentmods.dev/badge/instructions/kvas-it/mcp-ltm/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/kvas-it/mcp-ltm/claude-md"><img src="https://agentmods.dev/badge/instructions/kvas-it/mcp-ltm/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 | $0.00753 | $0.00753 |
| Opus 5.5 | $0.00301 | $0.00301 |
| Sonnet 5.5 | $0.00151 | $0.00151 |
| Haiku 4.5 | $0.00075 | $0.00075 |
Grade A, and why
mcp-ltm 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mcp-ltm
Long-term memory MCP server for AI assistants. Stores memories as browsable markdown files with SQLite index for fast tag-based retrieval.
Structure
mcp_ltm/
config.py - Origin management (path contraction/expansion)
storage.py - SQLite index + markdown file storage
server.py - MCP server with 11 tools
Development
pip install -e . # Install in editable mode
python test_storage.py # Run tests
mcp-ltm # Start server (for testing)
Code Review
Use codex review --uncommitted to get AI review of changes before committing.
Must be run from this directory so codex can see the repo context.
Configuration
Environment variables:
MCP_LTM_PATH- Memory storage directory (default:~/.local/share/mcp-ltm/memories/)MCP_LTM_CONFIG- Config file path (default:~/.local/share/mcp-ltm/config.yaml)
Config file (~/.local/share/mcp-ltm/config.yaml):
origins:
myproject: /path/to/project
notes: /path/to/notes
Tools
Memory Operations
store_memory- Create memory with title, tags, summary, content, optional source/linksquery_memories- Search by tags (ranked by overlap), filter by required_tagsget_memory- Retrieve by ID (updates access stats)update_memory- Modify existing memorydelete_memory- Remove memoryget_stale_memories- Find pruning candidates (old, rarely accessed)
Tag Operations
get_tags- List all tags with counts and example summariesget_related_tags- Find co-occurring tags for query expansion
Origin Management
list_origins- Show configured originsadd_origin- Register origin (auto-contracts existing matching sources)remove_origin- Delete origin mapping
Usage with Claude Code
Add to ~/.claude.json:
{
"mcpServers": {
"ltm": {
"command": "mcp-ltm"
}
}
}
Or with custom paths:
{
"mcpServers": {
"ltm": {
"command": "mcp-ltm",
"env": {
"MCP_LTM_PATH": "/custom/path/to/memories",
"MCP_LTM_CONFIG": "/custom/path/to/config.yaml"
}
}
}
}
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 · 100 lines · 753 tokens per session scan A b2b04f160cfc
mcp-ltm CLAUDE.md is an instructions file published in the GitHub repository kvas-it/mcp-ltm (2 stars, last pushed 9mo ago), licensed MIT. It adds 753 tokens to every session, about $0.0030 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.
mcp-ltm CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-ltm CLAUDE.mdkvas-it/mcp-ltm | Instructions file | 2 | 9mo ago | MIT | A | 753 | 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 |