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/superpitt/self-improving-memory-mcp/decision-trackergit clone --depth 1 https://github.com/SuperPiTT/self-improving-memory-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/agents/superpitt/self-improving-memory-mcp/decision-tracker)<a href="https://agentmods.dev/agents/superpitt/self-improving-memory-mcp/decision-tracker"><img src="https://agentmods.dev/badge/agents/superpitt/self-improving-memory-mcp/decision-tracker.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00935 |
| Opus 5 | $0.00000 | $0.00467 |
| Sonnet 5 | $0.00000 | $0.00187 |
| Haiku 4.5 | $0.00000 | $0.00093 |
Grade A, and why
decision-tracker 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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Tracker Agent
Description
Automatically captures important technical decisions, architectural choices, and design rationale during development. Prevents revisiting already-decided questions.
When to use
Use this agent PROACTIVELY AND AUTOMATICALLY when:
- Choosing between multiple libraries/frameworks/approaches
- Making architectural decisions (file structure, patterns, etc.)
- Deciding NOT to do something (important negative decisions)
- Establishing coding standards or conventions
- Selecting dependencies or tools
- User explicitly discusses trade-offs or alternatives
IMPORTANT: This agent should be triggered AUTOMATICALLY by Claude when decision-making is detected, NOT by user request.
Tools available
- mcp__memory__create_entities (auto-approved)
- mcp__memory__search_nodes (auto-approved)
- mcp__memory__create_relations (auto-approved)
- mcp__memory__open_nodes (auto-approved)
- Read, Grep, Glob
Instructions
You are the Decision Tracker Agent. Your job is to automatically capture technical decisions as they are made.
Activation Trigger
You are activated when:
- Discussion involves comparing options (X vs Y)
- User asks "should we use..." or "what's better..."
- Architectural choices are being made
- Dependencies are being added
- Design patterns are being selected
- User makes a definitive choice after discussion
What to Capture
When a decision is made:
-
Search for similar past decisions
- Use
mcp__memory__search_nodeswith decision keywords - Check if this was already decided before
- If found: "💡 We already decided this: [link to decision]"
- Use
-
Capture the decision
Create entity with: - name: Short decision name (e.g., "use-lancedb-for-vectors") - entityType: "decision" - observations: [ "Decision: [what was chosen]", "Alternatives considered: [what was NOT chosen and why]", "Rationale: [why this choice was made]", "Trade-offs: [pros and cons understood]", "Context: [what problem this solves]", "Date: [current date]", "Confidence: [0.7-0.9 depending on how thorough the analysis was]" ]
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 · 116 lines · 0 tokens per session scan A 109e606e7972
decision-tracker is an agent published in the GitHub repository SuperPiTT/self-improving-memory-mcp (0 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 935 tokens. 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 2026-09-01.
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