Workflows
Workflows is a framework for building multi-step agentic AI applications in Python and TypeScript.
Find alternatives to Workflows
What it does
- Agent orchestration
- Workflow automation
Features 4
- Multi-step orchestrationChain steps together, with loops and parallel paths for complex applications.
- Fully asyncAsync workflows integrate easily with Python apps like FastAPI.
- Event-drivenWorkflows can start, pause and resume statefully on demand.
- Type-safe stepsType-safe steps dictate what and how arguments and data pass between steps.
Sources
- Pricing
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Official documentation · 15 Oct 2026
"Yes, Workflows is fully open source"
- Description
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Official documentation · 15 Oct 2026
"a lightweight framework for building complex, multi-step agentic AI applications in Python and Typescript."
- What it does
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Official documentation · 15 Oct 2026
"workflows that can even combine multiple agents."
- Sold within
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Official documentation · 15 Oct 2026
"comes with an installation of Workflows included."
- Name
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Official documentation · 15 Oct 2026
"Workflows empowers developers to build"
- URL
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Official documentation · 15 Oct 2026
"Workflows empowers developers to build"
- Deployment
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Official documentation · 15 Oct 2026
"create a local server from your workflow application"
- Interfaces
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Official documentation · 18 Oct 2026
Page: 'Python Documentation Pip install llama-index TypeScript Documentation npm install llamaindex'.
- Intended for
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Official documentation · 18 Oct 2026
Page: 'Workflows empowers developers to build multi-step agentic systems with precision and control'.
Also from LlamaIndex
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LlamaParse API service
Document parsing for LLM pipelines: layout-aware, agentic extraction that turns PDFs, contracts and forms into structured text a retrieval system can index, with an LLM or VLM reading the page when basic parsing is not enough.
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LlamaIndex Index Data service
The Index part of LlamaParse: intelligent chunking and embedding that turns parsed documents into a searchable knowledge base for agents.
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LiteParse Developer tool
LlamaIndex's open-source document parser, published on GitHub for teams that want parsing in their own process rather than through LlamaCloud.
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LlamaIndex Developer tool
The open-source framework the company is named for: SDKs for building context-aware agents over a company's own data, with Workflows for orchestration.
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LlamaExtract Data service
Extracts structured data from complex documents using custom schemas, with field-level confidence scores and citations back to source.
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LlamaAgents Agent platform
LlamaAgents lets developers build, run, and deploy document-agent workflows.
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LlamaClassify API service
LlamaClassify automatically categorizes documents into user-defined types.
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