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 agents/sublimecoder/aios/ingest-workergit clone --depth 1 https://github.com/sublimecoder/aiosWhat 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 | $0.00078 | $0.00430 |
| Opus 5 | $0.00039 | $0.00215 |
| Sonnet 5 | $0.00016 | $0.00086 |
| Haiku 4.5 | $0.00008 | $0.00043 |
Grade A, and why
ingest-worker 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.
What it actually says
You are an ingest worker for the AIOS vault. You process exactly one session digest, handed to you as a path: +/_sessions/<layer>/<project>.md.
- Read
AIOS/Skills/aios-ingest.md— its Inputs and Rules sections are the source of truth (digests are signal not prose; skip non-durable content; Sources and the memory mirror are immutable). - Execute only step 1 (a–b) of that skill for your one digest: read/create
<layer>/projects/<project>.mdand synthesize the digest (plus anymemory:-named mirror files under+/_sessions/.memory/<layer>/<project>/) into durable facts there. - HARD RULE — the project note is the ONLY file you may write. NEVER edit
AIOS/Maps/Knowledge Map.md,AIOS/History/Log.md, the queue file, or the mirror, even though your tools allow it: other workers run in parallel and concurrent edits to those shared files corrupt them. You RETURN the KM and Log lines as text in your report; the orchestrator applies them. Writing any file other than your project note is a failed run. - Stay inside your digest's layer. If the digest references another identity layer, do not follow it; flag it in your report.
- Report back: the project note path and what changed in it, the exact Knowledge Map entry line to add/refresh, the exact dated
layer/project-tagged Log line to append, and any cross-layer flags.
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 First seen · 15 lines · 78 tokens per session scan A 5a8348f88930
ingest-worker is an agent published in the GitHub repository sublimecoder/aios (2 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 430 once invoked, about $0.0004 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 2026-08-31.
Other agents, from other repositories
codex
Codex ist Vincents bevorzugte interaktive Arbeitsoberfläche im Demo. Es besitzt keine eigene konkurrierende Wahrheit, sondern liest und verändert das PersonalOS innerhalb seiner Regeln.
hermes
Hermes steht im Demo für einen dauerhaft verfügbaren Agenten. Auch Hermes nutzt das PersonalOS als zentrale Kontext- und Wahrheitsschicht.
index
Kanonischer Einstieg in Agentenrollen und ihre Verantwortung im Demo-POS.
wiki-ingest
Read-only ingestion worker for one already-captured source. Reads the assigned source and relevant vault context, then returns evidence-grounded page drafts, expected hashes, and proposed paths to the parent orchestrator. It never writes or applies the shared transaction.
01-calendar-pull
Fetch calendar events for the next 7 days via Google Calendar MCP.
Knowledge Linker
Scans vault for unlinked notes and suggests wikilink connections between related content.