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.
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/memory-gc)<a href="https://agentmods.dev/commands/adriannoes/awesome-agentic-ai/memory-gc"><img src="https://agentmods.dev/badge/commands/adriannoes/awesome-agentic-ai/memory-gc/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/commands/adriannoes/awesome-agentic-ai/memory-gc"><img src="https://agentmods.dev/badge/commands/adriannoes/awesome-agentic-ai/memory-gc.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 | $0.00037 | $0.00562 |
| Opus 5 | $0.00018 | $0.00281 |
| Sonnet 5 | $0.00007 | $0.00112 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
memory-gc 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.
This is a copy
100% identical to memory-gc — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
/memory-gc
Garbage-collect the hunt-memory directory. Reports current sizes, rotates oversized files past a configurable cap, or purges old backups.
Why This Exists
Append-only logs grow without bound. On active hunters:
audit.jsonlcan reach 100 MB+ in months (every outbound request)patterns.jsonlandjournal.jsonlaccumulate forever
This command surfaces that growth and gives you a one-shot fix.
Usage
/memory-gc # report only
/memory-gc --rotate # rotate files above 10 MB (default cap)
/memory-gc --rotate --max-mb 5 # custom cap
/memory-gc --purge-backups # delete all .1/.2/.3 backups
/memory-gc --dir <path> # scan a non-default hunt-memory dir
What It Does
- Walks the hunt-memory directory recursively.
- Finds
audit.jsonl,patterns.jsonl, andjournal.jsonlfiles at any depth. - Prints a per-file table: live size, total (live + backups), backup count, status.
- With
--rotate: renames oversize files to<file>.1, shifting older backups up to<file>.{keep}. The oldest is dropped. - With
--purge-backups: removes every.1/.2/.3backup, keeping only live files.
Implementation
The agent shells out to:
python -m tools.memory_gc [args]
from the repo root.
Defaults
- Rotation cap: 10 MB per file
- Backups kept: 3 (so
<file>.1newest →<file>.3oldest) - Scope:
hunt-memory/and any nested target dirs
Auto-rotation fires automatically in two places:
- On every write — inside
AuditLog.log()andPatternDB.save()when the next append would exceed the cap. - On session end — a
Stophook in.claude/settings.jsonrunspython3 -m tools.memory_gc --rotateso long sessions that wrote a lot but never crossed the cap mid-session still get cleaned up.
So this slash command is mainly for ad-hoc reporting (/memory-gc with no args) and manual cleanup of accumulated backups (/memory-gc --purge-backups).
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 · 57 lines · 37 tokens per session scan A f868cef373fb
memory-gc is a command published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 10d ago), licensed MIT. It adds 37 tokens to every session and 562 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to memory-gc, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
context-stats
Display context window usage and token statistics.
handoff
Create a handoff document for seamless session continuity.
evolve
Extract session patterns into reusable learnings.
reconcile
Reconcile learnings into .claude/rules/ proposals — on-demand version of session-end Phase 3.6.8.
lessons
Lists the feedback memories captured for the current project (and globally) — the "lessons" learned from user corrections.
memory-cleanup
Manual memory consolidation — review, consolidate, and prune memory files (Dream-equivalent).