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 commands/rtazima/claude-proj-blueprint/memorygit clone --depth 1 https://github.com/rtazima/claude-proj-blueprintWrote 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/commands/rtazima/claude-proj-blueprint/memory)<a href="https://agentmods.dev/commands/rtazima/claude-proj-blueprint/memory"><img src="https://agentmods.dev/badge/commands/rtazima/claude-proj-blueprint/memory.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 | $0.00283 |
| Opus 5 | $0.00000 | $0.00142 |
| Sonnet 5 | $0.00000 | $0.00057 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
memory 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 5d 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
Long-term memory operations for the project.
Arguments: $ARGUMENTS (subcommand: index | search | stats)
Flags: --global Search/show global cross-project memory instead of project memory --both Search both project and global memory, merge results by relevance
Workflow:
- If "index": run
python memory/index.py --incrementalto re-index changes (ADRs, post-mortems, and learner reports auto-promote to global memory if enabled) - If "search ": run
python memory/query.py "<query>" --agent-formatand use as context - If "search --global ": run
python memory/query.py "<query>" --global --agent-format - If "search --both ": run
python memory/query.py "<query>" --both --agent-format - If "stats": run
python memory/query.py --statsto see chunk counts - If "stats --global": run
python memory/query.py --stats --globalto see global memory
After searching, use the results as context for responding to the user. Always cite the source (file and excerpt) when using information from memory.
If the memory module is not installed, instruct: pip install -r memory/requirements.txt python memory/index.py
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.
- 5d ago First seen · 24 lines · 0 tokens per session scan A 476d2fecf905
memory is a command published in the GitHub repository rtazima/claude-proj-blueprint (20 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 283 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 2026-08-30.
Other commands, from other repositories
sruja-reflect-on-run
Use this after an sruja agent loop, sruja agent apply, or sruja agent run --mode apply completes. This command guides your editor agent to distill lessons into agent memory.
context
Retrieve the decisions that govern this work into context, before planning against them. Read-only.
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
session-end
I'll summarize this coding session and update the memory system with our accomplishments.
memory-store
Store an insight, decision, or pattern to memory.