--- id: fabricatio version: "0.32.3" license: unclear license_treatment: permissive maintenance: active --- # fabricatio — A LLM multi-agent framework. License: permissive · Maintenance: active · Downloads: 677.2K/mo ## What it is and what it does Fabricatio is a framework for building applications where multiple LLM-powered agents coordinate work through an event-driven architecture. It combines Python's ease of use with Rust's performance for compute-intensive operations, using PyO3 to bind them together. The library provides an EventEmitter pattern for task management, async/await support for concurrent execution, and templating via Handlebars for dynamic prompt generation. The package is designed for developers building complex LLM workflows that require orchestration across multiple agents, integration with language models, and extensibility through custom actions. It targets scenarios where event-driven coordination, asynchronous execution, and performance matter—such as multi-turn reasoning, parallel task dispatch, or high-throughput agent systems. The framework is actively maintained and supports modern Python versions (3.12–3.14). Use it for: - Build multi-agent systems where agents communicate and coordinate through event-driven task queues. - Create LLM applications requiring dynamic prompt templating and real-time interaction with language model APIs. - Develop asynchronous workflows that execute custom actions in parallel while maintaining agent state. - Integrate with external services (ComfyUI, RAG backends, vector databases) via extensible action handlers. - Prototype and iterate on agent-based reasoning systems with minimal boilerplate. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Fabricatio is a Python library for building LLM-powered multi-agent applications using an event-driven architecture, with Rust-backed performance for core operations and PyO3 bindings. Yes, if you are building multi-agent LLM applications and want an event-driven framework with Rust-backed performance and active maintenance. The permissive license, modern Python support, and zero known vulnerabilities make it low-risk. Medium install friction (compiled wheels) is typical for performance-critical libraries. Not recommended if you need a mature, heavily documented framework—the project is young (first release February 2025) and has an extensive TODO list indicating ongoing development. ## Install pip install fabricatio uv add fabricatio poetry add fabricatio ## Installing fabricatio Before you install: Medium install friction due to compiled wheels for multiple Python versions (3.12–3.14) and platforms. Active maintenance with recent commits and no known vulnerabilities. Depends on fabricatio-core, a single runtime dependency. License in practice: Licensed under permissive terms (MIT), allowing use in commercial and proprietary projects without significant legal constraints. Quickstart: pip install fabricatio from fabricatio import EventEmitter emitter = EventEmitter() emitter.on('task_complete', lambda result: print(result)) Requires Python 3.12 or later (3.12, 3.13, or 3.14); compiled wheels are platform-specific. Verify before relying: - Whether the TODO items (API support, MCP server, web UI completion) are actively being developed or represent aspirational roadmap items. - Performance characteristics and scalability limits for multi-agent workflows compared to other frameworks. - Maturity of the Rust integration and stability of the PyO3 bindings across different deployment environments. ## Package facts - License: not declared (permissive) - Python support: supports_current - Install friction: medium - Maintenance: active - Downloads: 677.2K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags llm multi-agent framework, event-driven agent architecture, python llm application builder, async agent orchestration, rust-backed llm framework, pyo3 llm bindings, agent workflow engine, llm-agents, event-driven, rust-bindings [View on SkillFed](https://skillfed.io/packages/fabricatio) · [View on PyPI](https://pypi.org/project/fabricatio/)