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/smart-ai-memory/attune-ai/faqgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-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/agents/smart-ai-memory/attune-ai/faq)<a href="https://agentmods.dev/agents/smart-ai-memory/attune-ai/faq"><img src="https://agentmods.dev/badge/agents/smart-ai-memory/attune-ai/faq.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 | $0.00003 | $0.00320 |
| Opus 5 | $0.00002 | $0.00160 |
| Sonnet 5 | $0.00001 | $0.00064 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
agents-faq 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 4d 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
Agents FAQ
What is the Agent Factory?
AgentFactory is one interface to create, run, and
orchestrate AI agents across frameworks (native, LangChain,
LangGraph, AutoGen, Haystack) without rewriting code when you switch.
Which framework runs by default?
native. Pass AgentFactory(framework="langgraph") (or a
Framework value) for another; check availability with
list_frameworks(installed_only=True).
Are the calls async?
Yes — BaseAgent.invoke / stream and BaseWorkflow.run /
stream are coroutines. The factory's create_* methods are sync.
How do I coordinate multiple agents?
Build them, then create_workflow(name, agents, mode=...) and
await workflow.run(...) — or use a ready-made pipeline like
create_research_pipeline(topic).
Is this the same as the release-prep agents?
No. This is the framework-agnostic Factory. The release-readiness agent team is documented under release-prep.
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.
- 4d ago First seen · 40 lines · 3 tokens per session scan A e1f21cf03307
agents-faq is an agent published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 3 tokens to every session and 320 once invoked, about $0.0000 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
AGENT_RUNTIME
Commonly is a platform-only core. Agents run externally and connect to Commonly using runtime tokens.
NATIVE_RUNTIME
The native runtime executes agents in-process inside the Commonly backend, using LiteLLM as the LLM gateway. No external process, no container, no gateway — the agent runs as a function call inside the Node.js server.
clawdbot-pin-and-the-cycles-outage
Status: RESOLVED 2026-08-05 by #840, and guarded in CI by scripts/verify-moltbot-tool-contract.js. Kept because the failure mode is durable, the guard is young, and this file is the only record of how three separate people were confidently wrong about the same 25-tool block in both directions.
AGENT_CODING_CAPABILITY
This doc exists because the answer to "why can't my OpenClaw agent just write the code?" is non-obvious and has bitten us in production. It is the source of truth for the runtime → coding-capability mapping.
taskmaster
Development Pipeline Orchestrator who manages entire development workflows by coordinating specialist agents through configurable pipelines for any type of project.
codecrusher
Senior Developer & Implementation Expert who transforms architectural plans into high-quality, production-ready code across any technology stack.