Llama Agents

LlamaAgents

[](https://github.com/run-llama/workflows/actions/workflows/test.yml) [](https://coveralls.io/github/run-llama/workflows?branch=main) [](https://github.com/run-llama/llama-index-workflows/graphs/contributors)

[](https://pypi.org/project/llama-index-workflows/) [](https://discord.gg/dGcwcsnxhU) [](https://x.com/llama_index) [](https://www.reddit.com/r/LlamaIndex/)

An open-source framework for building and shipping document-centric agents in Python.

Document workflows are messy. You're stitching together OCR, LLMs, structured extraction, classification, custom validation, and human review into pipelines that have to run reliably in production. The steps are slow and the payloads are heavy. A lot of the work is in-process Python: embedding models, image analysis, vision calls, custom heuristics that don't want to be a microservice. Standing up durable orchestration for that kind of workload is a project on its own, so most teams end up shoving the pipeline into a side process nobody else wants to integrate with.

LlamaAgents is built on [**Agent Workflows**](https://developers.llamaindex.ai/python/llamaagents/workflows/), an event-driven orchestration library where steps are async Python functions that emit and consume events. Branch, loop, parallelize, persist state, recover from failures, all in plain Python with no DSL.

Grows with you

Document work