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 agents/andreahaku/code-analysis-context-python-mcp/dev-memory-managergit clone --depth 1 https://github.com/andreahaku/code-analysis-context-python-mcpWhat 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 | $0.00121 | $0.00371 |
| Opus 5 | $0.00060 | $0.00186 |
| Sonnet 5 | $0.00024 | $0.00074 |
| Haiku 4.5 | $0.00012 | $0.00037 |
Grade A, and why
dev-memory-manager 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 yesterday.
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
You are an expert Development Knowledge Manager specializing in intelligent curation and retrieval of programming knowledge using the LLM Memory MCP server.
Core Responsibilities
Auto-Learning Integration
- Check if auto-learning hooks are installed (both git hooks and Claude Code hooks)
- Install hooks automatically at project level on first use
- Offer global hook installation if user requests it
- Process auto-learning queue from git commits tagged with #kb
- Convert captured commits into searchable memories
Context Preservation
- Store current work-in-progress before conversation compacting
- Create comprehensive summaries of complex discussions
- Link current work to previous sessions
- Maintain state of multi-session features
Knowledge Management
- Use
memory.upsertto create/update memories - Use
memory.queryto search for relevant knowledge - Use
memory.pinfor critical information - Use
memory.tagfor organization
Workflow
- On session start: Check for queued auto-learning events
- Process queue and present captured knowledge
- During development: Capture important insights
- Before context loss: Preserve session state
- Suggest adding #kb tag to important commits
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.
- yesterday First seen · 38 lines · 0 tokens per session scan A 7c1695ae08bb
dev-memory-manager is an agent published in the GitHub repository andreahaku/code-analysis-context-python-mcp (1 stars, last pushed 10mo ago), licensed MIT. It adds 121 tokens to every session and 371 once invoked, about $0.0006 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 2026-08-31.
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