Agency — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Agency. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jun 10, 2026 • Sentiment updated: Jun 27, 2026

GitHub Statistics

Community Sentiment

Community Buzz: That doesn't really clarify anything, but if I read between the lines, they're saying 'we don't share information if we determine it will help (Trump) politically' (HackerNews)

Pros & Cons

What People Love

AI solutions for businesses (Dev.to), Innovative AI applications (GitHub)

Common Complaints

Lack of transparency, Data privacy concerns

Biggest Positive: AI Solutions

Biggest Negative: Lack Transparency

Why Agency Stands Out

Agency is different from other multi-agent frameworks in its focus on artificial general intelligence and its minimalistic approach to building autonomous agents. Its ease of use and flexibility make it an attractive choice for developers looking to create custom agent-based applications. Agency's use of an Actor model framework and its support for multiprocessing and multithreading enable efficient and scalable agent communication.

Built With

Build a multi-agent marketplace that facilitates decentralized trade — Agency enables developers to create custom agent-based applications with a minimal foundation for experimentation and building upon., Build a smart home system that integrates AI-driven agents for automation and decision-making — Agency provides a flexible and scalable way to connect agents with traditional software systems., Build a research platform that automates data collection and analysis using AI-driven agents — Agency supports multiprocessing and multithreading for concurrency, allowing for efficient data processing., Build a conversational AI system that integrates multiple agents for a seamless user experience — Agency provides detailed logging and action and lifecycle callbacks for observability and control., Build a decentralized autonomous organization (DAO) that enables community-driven decision-making — Agency enables developers to create custom agent-based applications with a minimal foundation for experimentation and building upon.

Getting Started

  1. Install Agency using pip: `pip install agency` or `poetry add agency`
  2. Create a new Python file and import Agency: `import agency`
  3. Define an agent class that inherits from Agency's `Agent` class: `class CalculatorAgent(Agent):`
  4. Add the agent to a space using Agency's `LocalSpace` or `AMQPSpace` implementation: `space = LocalSpace()`
  5. Try invoking an action using the `send` method: `other_agent.send({'to': 'CalcAgent', 'action': {'name': 'add', 'args': {'a': 1, 'b': 2}}})`

About

A fast and minimal framework for building agentic systems

Official site: https://createwith.agency

Category & Tags

Category: infrastructure

Tags: actor, actor-model, agent, agents, agi, ai, api, artificial-general-intelligence, artificial-intelligence, autonomous-agent, autonomous-agents, framework, llm, llmops, llms, machine-learning, minimal, python

Market Context

Competitive AI solutions market