ai-memory is a shared long-term memory system for coding agents that preserves project knowledge, unfinished work, failed approaches, and open questions across tools and machines. It is used by individual developers and teams to hand work between different coding agents and continue projects without repeating the context.
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 skills add akitaonrails/ai-memory --skill ai-memory-durable-pagesgit clone --depth 1 https://github.com/akitaonrails/ai-memoryWrote 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/akitaonrails/ai-memory/ai-memory-durable-pages)<a href="https://agentmods.dev/skills/akitaonrails/ai-memory/ai-memory-durable-pages"><img src="https://agentmods.dev/badge/skills/akitaonrails/ai-memory/ai-memory-durable-pages/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/skills/akitaonrails/ai-memory/ai-memory-durable-pages"><img src="https://agentmods.dev/badge/skills/akitaonrails/ai-memory/ai-memory-durable-pages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 5 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Excessive Agency · line 69 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00062 | $0.02220 |
| Opus 5.5 | $0.00025 | $0.00888 |
| Sonnet 5.5 | $0.00012 | $0.00444 |
| Haiku 4.5 | $0.00006 | $0.00222 |
Grade A, and why
ai-memory-durable-pages 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 yesterday.
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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-memory durable pages
Use this skill only for deliberate durable wiki mutations. Routine session capture is automatic, and permanent notes require an explicit user request.
Tools in this cluster
memory_resolve_write_targetvalidates and canonicalizes an exact existing writable destination without creating or changing it. Bulk importers use it before their first write.memory_write_pagewrites or replaces a durable wiki page for permanent project knowledge.memory_write_pages_batchwrites a bounded set of complete page versions atomically for a bulk importer. Every entry must be conditional; do not use it for routine notes.memory_patch_pageatomically changes named Markdown sections in an existing page without re-emitting its frontmatter or unrelated body.memory_delete_pageremoves a durable wiki page by exact path.memory_restore_pagelists a page's checkpoints (norev) or writes an earlier version back (withrev), including a deleted page. It is admin only on a multi-user server and does not reachscope: "profile"pages.
Writing durable memory
Write a page only when the user explicitly asks to remember something permanently, save a note, add an annotation, or record project knowledge. Do not use durable pages for transient progress, normal status updates, or next-session context.
Put the page title as a # H1 on the first line of the body and omit the separate title argument. ai-memory derives the title from that H1. Keep the content concise and fact-like, with enough context that a future agent can apply it without rereading the whole session.
Optional top-level metadata: kind (64 characters), entities (10 names,
64 characters each, normalized and deduplicated), abstract (1,024 characters),
and relations (an object mapping causes, fixes, or contradicts to page
target arrays, 32 targets total, 1,024 characters each). Relation targets use
path, project:path, or workspace/project:path; extensionless page paths
resolve with .md, and scope components must already be trimmed. A page that
describes repository files can name them in source_files: up to 16
{path, commit} entries, each a repository-relative /-separated path and the
7-64 hex commit (git rev-parse HEAD) the page was checked against. The server
never reads those files; when one changed since its commit, a client records
memory_feedback with signal: "stale", and rewriting the page with the new
commit clears the flag. Limits apply
to raw values before trimming, normalization or deduplication. Arbitrary
frontmatter and author fields are not editable.
Every memory_write_page call replaces the whole page and its metadata;
omitted fields are cleared. Read the current page first when preserving
existing content matters, and pass its returned page_id as
expected_page_id so a concurrent change fails without writing. Use
create_only: true when the page must not already exist; do not combine the
two preconditions.
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.
- yesterday Changed · +12 lines 6b9572fee9f8
- 2d ago Changed · +3 lines 918a5cedbc8e
- 7d ago Changed · +13 lines 554d2adcbe1b
- 21d ago Changed · +3 lines 8771edcc5e52
- 23d ago Changed 8337b9677bd7
- 29d ago Changed · +12 lines 2f4547e376a1
- 1mo ago Changed · +12 lines 8dbb743965c7
- 2mo ago Changed · +5 lines 3a19ec1f0f62
- 2mo ago First seen · 65 lines · 62 tokens per session scan A 80643e44309a
ai-memory-durable-pages is a skill published in the GitHub repository akitaonrails/ai-memory (15,226 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 2,220 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
ai-memory-durable-pages compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-memory-durable-pagesakitaonrails/ai-memory | Skill | 15k | yesterday | MIT | A | 62 | Claude Code, Codex |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | today | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |