Enterprise DNA
O Open Source Orchestration medium

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.

Visit Community View repo Submit your build →
L

OSS

llama-agents

Added 1 June 2026

#agentic-ai #agentic-framework #agentic-rag #agentic-workflow #agents #ai #event-driven #orchestration

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

Other entries in the index that connect to this one. Click through to see the chain.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

← Back to Open Source Submit your own entry →