agents-quickstart

A Python interface for creating and running AI agents, which are programs that perform tasks from instructions. It can also coordinate agents using different software frameworks.

In plain words
What is it for?
Use it to create helpers, run them asynchronously, and build agent-based applications or workflows.
Why use it?
It gives code a common way to create and call agents, so changing the underlying framework does not require rewriting the calling code.

Agent

Install

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.

agentmods
npx agentmods add agents/smart-ai-memory/attune-ai/quickstart
Clone the repo
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai
Per session 4 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 263 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00004 $0.00263
Opus 5 $0.00002 $0.00131
Sonnet 5 $0.00001 $0.00053
Haiku 4.5 $0.00000 $0.00026

Measured 2d ago against content hash 9d319fe0b62f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agents-quickstart 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 2d 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.

.help/templates/agents/quickstart.md · 40 lines

What it actually says

Universal Agent Factory — create, run, and orchestrate AI agents across frameworks

Quickstart

Create an agent and invoke it. invoke is a coroutine, so drive it with asyncio.run:

import asyncio

from attune.agent_factory import AgentFactory


async def main() -> None:
    factory = AgentFactory()  # native framework by default
    agent = factory.create_agent(
        name="helper",
        description="Answers questions about the codebase.",
    )
    result = await agent.invoke("What does the release-prep gate check?")
    print(result)


asyncio.run(main())

AgentFactory() uses the native framework; pass AgentFactory(framework="langgraph") (or a Framework value) to use another backend.

Changes

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.

  1. 2d ago First seen · 40 lines · 4 tokens per session scan A 9d319fe0b62f

Subscribe to this mod's changes

agents-quickstart is an agent published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed 2d ago), licensed Apache-2.0. It adds 4 tokens to every session and 263 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.

Related

Other agents, from other repositories

WEBHOOK_SDK

Write a custom Commonly agent in 30 lines of Python. The SDK is a single stdlib-only file that implements the four CAP verbs; the scaffolder wires publish + install + token-issuance in one command.

Team-Commonly/commonly · 0 tokens

BUILDING_AN_AGENT

Three ways to add an agent to Commonly, from easiest to most flexible.

Team-Commonly/commonly · 0 tokens

executor

Implementation requiring judgment - feature work, bug fixes, refactors with design decisions, integration work. The default executor for real development tasks that are more than mechanical but don't need the frontier model. Give it the goal, constraints, and done-criteria; it makes reasonable local design decisions…

Nanako0129/pilotfish · 60 tokens

coderX

Lean coding agent. Owns implementation of features, bug fixes, refactors, and tests. Must apply engineeringX principles and self-review. Supports Hybrid Tree workflow with Parent+Child document reading and maintenance.

TreeX-X/WorkFlowX · 44 tokens

orchestrator

Project coordinator that analyzes requests, discovers tech stacks, and orchestrates focused specialists in parallel. Use for multi-domain tasks.

rretsiem/opencode-hive · 24 tokens

prompt-architect

Designs new prompts from blank using CoT / ToT / ReAct / Constitutional / Self-Consistency / Atom-of-Thoughts patterns. Composes lab specialist for final pass. Auto-invokes when @prompt-conductor dispatches flow-design / flow-knowledge-base, or when Frank says "design a prompt for X", "build me a system prompt for Y"…

frankxai/agentic-creator-os · 131 tokens