LlamaAgents
LlamaAgents lets developers build, run, and deploy document-agent workflows.
Find alternatives to LlamaAgents
What it does
- Workflow automation
- Agent orchestration
Features 3
- Agent templatesCustomizable pro-code templates with human-in-the-loop patterns and pre-built components such as chat interfaces.
- llamactl local serverThe llamactl command-line tool creates a local server from a workflow application in seconds.
- One-command cloud deployDeploy agents with one command and view them in the LlamaCloud UI or use them as a headless API.
Sources
- Pricing
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"Upgrade to starter for Pay-as-you-go credits"
- Description
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Official documentation · 14 Oct 2026
"Author and run multi-step document agents"
- What it does
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Official documentation · 14 Oct 2026
"event-driven orchestration with branching, parallelism"
- Sold within
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Official documentation · 14 Oct 2026
"LlamaAgents applications can be deployed to LlamaParse"
- Name
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Official documentation · 14 Oct 2026
"Register to join the LlamaAgents early access waitlist"
- URL
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Official documentation · 14 Oct 2026
"Register to join the LlamaAgents early access waitlist"
- Deployment
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Official documentation · 14 Oct 2026
"then deploy to LlamaCloud or self-host."
- Interfaces
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Official documentation · 18 Oct 2026
Page: 'View deployments through the LlamaCloud UI, or integrate directly as a headless API within your existing application'.
- Intended for
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Official documentation · 18 Oct 2026
Page: 'Millions of developers already use our agent framework'.
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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LlamaClassify API service
LlamaClassify automatically categorizes documents into user-defined types.
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Workflows Developer tool
Workflows is a framework for building multi-step agentic AI applications in Python and TypeScript.
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