Agentlas OS is a local-first system for creating, storing, borrowing, and running specialist AI agents and temporary agent teams through supported hosts and models. It serves people who want reusable agents that remain available across computers and model workspaces, and the catalogue contains its skills, commands, hooks, agents, instructions, plugin, and rule.
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/agentlas-ai/agentlas-os/memory-ticketingnpx skills add agentlas-ai/Agentlas-OS --skill memory-ticketinggit clone --depth 1 https://github.com/agentlas-ai/Agentlas-OSWrote 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/agentlas-ai/agentlas-os/memory-ticketing)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-os/memory-ticketing"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-os/memory-ticketing.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 5.1 | $0.00037 | $0.00169 |
| Opus 5 | $0.00018 | $0.00084 |
| Sonnet 5 | $0.00007 | $0.00034 |
| Haiku 4.5 | $0.00004 | $0.00017 |
Grade A, and why
memory-ticketing 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 6d 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
Memory Ticketing
Required Files
.agentlas/memory-map.json.agentlas/memory-tickets.jsonl.agentlas/vault-references.json
Flow
- Workers emit
## Memory Events. - Runtime or orchestrator wraps events into tickets.
- Memory Curator validates, redacts, deduplicates, and routes.
- PM Soul owns project memory and open loops.
- Policy Gate approves shared team-memory promotion.
Never Store
Secrets, credentials, private keys, tokens, service-account JSON, raw logs, or full transcripts.
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.
- 6d ago First seen · 26 lines · 37 tokens per session scan A 7ea4fe261905
memory-ticketing is a skill published in the GitHub repository agentlas-ai/Agentlas-OS (1,101 stars, last pushed 3d ago), licensed Apache-2.0. It adds 37 tokens to every session and 169 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
distill-session-knowledge
Offline-mine this project's pi session JSONL logs into reusable, verified knowledge: extracts faults, decisions, corrections, procedures and docs, promotes only recurring patterns, and routes artifacts into skillmanage, memory and docs. Use on "mine my sessions", "distill session knowledge", "extract lessons from…
remember
Save durable facts to nui persistent memory (/.nui/memory/) when the user asks.
island
A discrete, loadable brain.
sync
Pull and push your brain.
list-learned-actions
Explicit Codex workflow: List persisted reusable actions, UI skeletons, and legacy feedback memories before composing device primitives.
external-memory-plugin
Develop, adapt, review, test, and troubleshoot Nexent external memory provider plugins, including plugin.yaml manifests, searchable and ingestible provider protocols, error mapping, network-isolated unit tests, deployment configuration, and Mem0-based examples. Use when adding a new external memory vendor, changing an…