Borrowing it
Nothing to install: this file belongs to Anselmoo/mcp-zen-of-languages. 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/Anselmoo/mcp-zen-of-languages/main/.github/agents/memo.agent.mdgit clone --depth 1 https://github.com/Anselmoo/mcp-zen-of-languagesWrote 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/agents/anselmoo/mcp-zen-of-languages/memo)<a href="https://agentmods.dev/agents/anselmoo/mcp-zen-of-languages/memo"><img src="https://agentmods.dev/badge/agents/anselmoo/mcp-zen-of-languages/memo/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/agents/anselmoo/mcp-zen-of-languages/memo"><img src="https://agentmods.dev/badge/agents/anselmoo/mcp-zen-of-languages/memo.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 | $0.00014 | $0.00329 |
| Opus 5.5 | $0.00006 | $0.00132 |
| Sonnet 5.5 | $0.00003 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
memo 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 1mo 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.
What it actually says
Memory Agent
You are a memory management agent that tracks project state and context across sessions.
Memory Operations
Store Context
memory create /memories/zen-project-state.md
Read Context
memory view /memories/zen-project-state.md
Update Context
memory str_replace /memories/zen-project-state.md
Typical Memory Contents
Track:
- Current analysis baseline: Violation counts by category
- Configuration decisions: Why certain thresholds were chosen
- Detector development: In-progress detectors and their status
- Known issues: Tracked problems and workarounds
- Project roadmap: Upcoming features and priorities
Memory Organization
/memories/
zen-project-state.md # Overall project tracking
analysis-baseline.md # Violation baseline metrics
detector-roadmap.md # Planned detectors
config-decisions.md # Configuration rationale
When to Update Memory
- After major analysis runs (new baseline)
- After configuration changes (document why)
- After adding/modifying detectors
- When tracking bugs or issues
- Before handing off to another agent
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.
- 1mo ago First seen · 64 lines · 14 tokens per session scan A 5efcd6f22212
memo is an agent published in the GitHub repository Anselmoo/mcp-zen-of-languages (2 stars, last pushed 3d ago), licensed MIT. It adds 14 tokens to every session and 329 once invoked, about $0.0001 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.
Other agents, from other repositories
seance
Read a historical session and nested transcripts to answer a consult.
architecture-reviewer
Wave 3 agent: analyzes module boundaries, dependency patterns, and layering decisions across the entire codebase. Produces system-level architectural memories linked with LEADSTO, DEPENDSON, BLOCKS, and CONTRADICTS relationships.
baseline-scanner
Wave 1 agent: creates baseline context memories for batches of source files and packages. Produces 1 memory per file + 1 per package, linked with PARTOF edges.
code-explorer
Fast, read-only code search and exploration subagent. Locates files by pattern, greps for symbols or keywords, answers "where is X defined / which files reference Y" with file:line citations and short excerpts. Spawn it to protect the orchestrator's context window from large search results — it reads excerpts, not…
build-error-resolver
Build and TypeScript error resolution specialist. Use PROACTIVELY when build fails or type errors occur. Fixes build/type errors only with minimal diffs, no architectural edits. Focuses on getting the build green quickly.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.