AgentFlow
Complex LLM Workflows from Simple JSON
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is AgentFlow?
AgentFlow simplifies the creation and management of complex workflows for large language models using simple JSON configurations, making it easier to orchestrate AI tasks.
Key differentiator
“AgentFlow stands out by offering a simple JSON configuration approach to manage complex workflows, making it accessible and flexible for developers working with large language models.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Official docs lack examples and explanations for complex workflows
Not optimized for handling very high throughput or concurrent requests
Fit analysis
Who is it for?
✓ Best for
Developers building complex workflows with large language models who prefer JSON-based configurations
Research teams working on NLP projects that require flexible and customizable pipelines
✕ Not a fit for
Teams needing real-time streaming capabilities (AgentFlow is batch-oriented)
Projects requiring a web UI for workflow management (it's library-based)
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with AgentFlow
Step-by-step setup guide with code examples and common gotchas.