Haystack vs LangGraph
A side-by-side comparison of Haystack and LangGraph, two Orchestration tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
LangGraph
OrchestrationGraph-based agent orchestration. Stateful loops with checkpoints.
View LangGraphAt a glance
| Attribute | Haystack | LangGraph |
|---|---|---|
| Category | Orchestration | Orchestration |
| Pricing | FREE | FREE |
| License | Open source | Open source |
| Deployment | — | — |
| Platforms (differs) | API | API, CLI |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | deepset | LangChain |
The honest brief
Haystack
More production-oriented and explicitly composable than lighter agent libraries: typed pipelines give direct control over retrieval, routing, and memory.
- Composable, typed pipeline architecture
- Model- and vector-store agnostic
- Strong production tooling
- Mature docs and integrations
- Pipeline model has a learning curve
- Python-only
- Heavier than minimal agent libraries
LangGraph
Durable checkpointed state-graph with human-in-the-loop — long agent runs pause and resume, unlike one-shot chains.
- Durable checkpointed state
- Low-level graph control
- Debuggable long-running agents
- Runs in production at major firms
- Steeper learning curve
- More boilerplate than chains
- Tied to LangChain conventions