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 skills/jmagly/aiwg/auto-memorynpx skills add jmagly/aiwg --skill auto-memorygit clone --depth 1 https://github.com/jmagly/aiwgWrote 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/skills/jmagly/aiwg/auto-memory)<a href="https://agentmods.dev/skills/jmagly/aiwg/auto-memory"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/auto-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 | $0.00027 | $0.00256 |
| Opus 5 | $0.00014 | $0.00128 |
| Sonnet 5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
auto-memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Auto Memory
Use this driver when an operator wants the auto-memory seed bundle.
For new projects, prefer the canonical scaffolding path:
aiwg new
For an existing project, deploy the addon through AIWG:
aiwg use auto-memory --provider <provider>
Claude supports the native automatic-memory layout. Cursor and OpenCode require provider-specific adaptation; other providers should use workspace context or semantic-memory capabilities instead of pretending native automatic memory exists.
The seeds cover project overview, testing, debugging, and architecture. Never put secrets, credentials, tokens, or sensitive personal data in memory files.
References
- @$AIWG_ROOT/agentic/code/addons/auto-memory/docs/overview.md
- @$AIWG_ROOT/agentic/code/addons/semantic-memory/skills/memory-ingest/SKILL.md
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.
- today First seen · 41 lines · 27 tokens per session scan A 7e06a91ba061
auto-memory is a skill published in the GitHub repository jmagly/aiwg (209 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 256 once invoked, about $0.0001 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 2026-09-05.
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agent-v3-memory-specialist
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hive.note-taking
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moai-foundation-context
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project-context
Use PowerContext project memory and handoff tools through MCP when continuing prior work, recalling decisions, maintaining durable memory, or transferring work across tasks, sessions, or agents.