Borrowing it
Nothing to install: this file belongs to ahmetakyurt/zipmem-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/ahmetakyurt/zipmem-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/ahmetakyurt/zipmem-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/ahmetakyurt/zipmem-mcp/claude-md)<a href="https://agentmods.dev/instructions/ahmetakyurt/zipmem-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/ahmetakyurt/zipmem-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/ahmetakyurt/zipmem-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/ahmetakyurt/zipmem-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 | $0.05386 | $0.05386 |
| Opus 5.5 | $0.02154 | $0.02154 |
| Sonnet 5.5 | $0.01077 | $0.01077 |
| Haiku 4.5 | $0.00539 | $0.00539 |
Grade A, and why
zipmem-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 — 245 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. It is intentionally complete: reading it should be enough to fully understand the project's purpose, architecture, data contracts, runtime behavior, and known limits.
1. What this project is
zipmem-mcp is an open-source, local-first MCP (Model Context Protocol) server + CLI that gives terminal AI agents (Claude Code and similar) an endless, low-token long-term memory. It compresses session history via Anchored Compacting and persists it to a single JSON file under .zipmem/, so a new session can restore full project context at near-zero token cost.
It runs entirely on the local machine: no cloud, no API keys, no AI calls on the server side. The only runtime dependencies are @modelcontextprotocol/sdk and zod.
The problem it solves
- Long agent sessions bloat the context window. Prompt caching reduces cost but not window occupancy.
- A ~5-minute idle invalidates the cloud KV cache, forcing full-price re-reads of huge histories.
- Manual "summarize the session" is lossy and tedious; dumping raw terminal logs just relocates the bloat.
Anchored Compacting (the core philosophy)
Instead of storing the session, store its meaning:
- Blueprints — architecture, schemas, decisions, conventions, dependency choices → preserved verbatim.
- Anchors — code blocks are never stored; they become coordinates
[file_path -> line_range -> concept]. The agent re-reads the file on demand to expand one. - Lessons — multi-step bug hunts distilled into one-line summary + root-cause/fix, to prevent regressions.
- Everything else (raw code, dead ends, verbose logs, pleasantries, read-only file dumps) is discarded.
The key architectural bet
Compaction intelligence lives in a prompt directive, not in server code. The agent (LLM) produces the structured payload; the server only validates, normalizes, deduplicates, merges, and persists. This keeps the server dependency-free, zero-latency, and key-free. The server can never compact on its own — it has no LLM.
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 · 245 lines · 5,386 tokens per session scan A 827e521f4f66
zipmem-mcp CLAUDE.md is an instructions file published in the GitHub repository ahmetakyurt/zipmem-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 5,386 tokens to every session, about $0.0215 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.
zipmem-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| zipmem-mcp CLAUDE.mdahmetakyurt/zipmem-mcp | Instructions file | 0 | 4mo ago | MIT | A | 5,386 | 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 |