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/uudam42/agent-memory-engine/claude-mdgit clone --depth 1 https://github.com/uudam42/agent-memory-engineWhat 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 | $0.00456 | $0.00456 |
| Opus 5 | $0.00228 | $0.00228 |
| Sonnet 5 | $0.00091 | $0.00091 |
| Haiku 4.5 | $0.00046 | $0.00046 |
Grade A, and why
agent-memory-engine 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 3d 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
agent_memory_engine — Claude 工作规范
Memory Engine MCP 使用规范
本项目自身就是一个 memory engine，开发时必须使用其 MCP 工具，确保知识积累形成闭环。
编码工作开始前（必须）
调用 mcp__memory-engine__retrieve_agent_context，传入当前任务描述、branch 和 head commit：
task: <当前任务的简要描述>
current_branch: <当前分支>
head_commit: <当前 commit SHA>
目的：获取相关历史记忆和知识 chunk，避免重复踩坑。
编码过程中（按需）
mcp__memory-engine__inspect_knowledge— 需要查看特定源文件片段时调用，比直接 Read 更快定位已索引内容。mcp__memory-engine__inspect_memory— 当 retrieve 返回的某条 memory 摘要不够详细时，展开查看完整内容。mcp__memory-engine__refresh_project_knowledge— 新增或大幅修改文件后调用，保持索引同步。mcp__memory-engine__memory_status— 怀疑引擎状态异常时检查。
完成经过验证的工作后（必须）
调用 mcp__memory-engine__reflect_and_write，条件：
- 测试通过（
verification_status: tests_passed） - 构建成功（
build_success） - 人工确认（
manual_check）
不要在以下情况调用：任务失败、已回滚、仅是探索性对话、微小改动。
task: <完成的任务描述>
outcome: <实际发生了什么>
verification_status: tests_passed | build_success | manual_check
current_branch: <分支>
head_commit: <commit SHA>
changed_files: [<修改的文件列表>]
工具加载提醒
memory engine MCP 工具默认为 deferred 状态，使用前需先通过 ToolSearch 加载：
ToolSearch: select:mcp__memory-engine__retrieve_agent_context,mcp__memory-engine__reflect_and_write,...
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.
- 3d ago First seen · 51 lines · 456 tokens per session scan A 460106c6233c
agent-memory-engine CLAUDE.md is an instructions file published in the GitHub repository uudam42/agent-memory-engine (123 stars, last pushed 1mo ago), licensed MIT. It adds 456 tokens to every session, about $0.0023 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 2026-08-30.
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