LALangGraph v1
Graph-based orchestration framework for resilient long-running agents and HITL flows.
Best for
- •Production agents needing persistence, retries, and human approvals.
Limitations
- •Graph design complexity rises with broad tool sets and branching conditions.
- •Requires dedicated testing harness to prevent regression in agent paths.
Use carefully when
- •Simple FAQ bots that do not need stateful orchestration.
Quickstart
- Model your workflow as explicit states and transitions before writing custom tools.
Setup checklist
- • API key required: No
- • SDK quality: high
- • Self-host difficulty: medium
Usage Notes
- • Validate model behavior on your own benchmark slices before rollout.
- • Pin version/provider routes for reproducible outputs.
- • Add logging + fallback routes for high-volume workloads.
Pricing (USD)
Input / 1M
-
Output / 1M
-
Monthly
$0
Capabilities
- statefulExecutionYes
- humanApprovalStepsYes
- durableWorkflowsYes
- toolCallingYes
Benchmarks
github Stars
25040
github Forks
4373
active Maintainer Signal
91
Community reviews
0 reviews • avg —
No reviews yet.
Samples
codeState graph
ingest -> classify -> research -> draft -> approve
Compliance
- License: mit
- Commercial use: allowed
Provenance
- Last verified: 17/4/2026
- Source: https://docs.langchain.com/oss/python/langgraph/overview