Borrowing it
Nothing to install: this file belongs to SuperPiTT/self-improving-memory-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/SuperPiTT/self-improving-memory-mcp/main/.claude/agents/decision-tracker.mdgit 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/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/superpitt/self-improving-memory-mcp/decision-tracker"><img src="https://agentmods.dev/badge/agents/superpitt/self-improving-memory-mcp/decision-tracker.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 | $0.00000 | $0.00935 |
| Opus 5.5 | $0.00000 | $0.00374 |
| Sonnet 5.5 | $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 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 — 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.
- 2mo 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 1y 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.
decision-tracker compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| decision-trackerSuperPiTT/self-improving-memory-mcp | Agent | 0 | 1y ago | MIT | A | 0 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |