llama-agents
by Community
Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
OSS
llama-agents
Added 1 June 2026
Overview
Llama Agents is an event-driven, async-first orchestration framework for AI agents. It uses step-based workflows to control execution flow, built in Python. The library is community-maintained with 385 stars on GitHub.
Best for
Best for
Developers building custom agent orchestration with async workflows
Use cases
- Building multi-step agent pipelines
- Coordinating async agent tasks
- Managing event-driven agent workflows
Notes
Llama Agents is an event-driven, async-first orchestration framework for AI agents. It uses step-based workflows to control execution flow, built in Python. The library is community-maintained with 385 stars on GitHub.
385 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Building multi-step agent pipelines
- Coordinating async agent tasks
- Managing event-driven agent workflows
Pros
- Async-first design enables efficient concurrent execution
- Step-based control provides clear flow management
- Lightweight and focused on orchestration
Cons
- Limited to Python ecosystem
- Smaller community compared to alternatives (385 stars)
- May lack advanced features of larger frameworks
Indexed from awesome-langchain and enriched against its public facts.
Pros
- Async-first design enables efficient concurrent execution
- Step-based control provides clear flow management
- Lightweight and focused on orchestration
Cons
- Limited to Python ecosystem
- Smaller community compared to alternatives (385 stars)
- May lack advanced features of larger frameworks
Pairs with
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