A side-by-side of two orchestration & workflows for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Trigger.dev leads Trigger.dev vs LangGraph Platform (LangSmith Deployment) by community traction (★ 0 vs ★ 0). Pick Trigger.dev for its strengths; pick LangGraph Platform (LangSmith Deployment) for its strengths.
| Trigger.dev | LangGraph Platform (LangSmith Deployment) | |
|---|---|---|
| GitHub stars | ★ 0 | ★ 0 |
| Language | — | — |
| Category | Orchestration & workflows | Orchestration & workflows |
| Best for | ||
| Repository | / | / |
Trigger.dev and LangGraph Platform (LangSmith Deployment) are both credible choices. By community traction, Trigger.dev leads (★ 0). Pick Trigger.dev for its strengths; pick LangGraph Platform (LangSmith Deployment) for its strengths.
Trigger.dev details → · LangGraph Platform (LangSmith Deployment) details →
Both are credible orchestration & workflows. By community traction Trigger.dev leads (★ 0). Pick Trigger.dev for its strengths; pick LangGraph Platform (LangSmith Deployment) for its strengths.
Trigger.dev is Open-source TypeScript platform for long-running background tasks and AI agents with retries, queues, concurrency, and observability, fully managed in the cloud.. LangGraph Platform (LangSmith Deployment) is Managed deployment and orchestration for stateful LangGraph agents — persistence, human-in-the-loop, streaming, and horizontal scaling for production AI agents..
Trigger.dev has more — ★ 0 vs ★ 0 (live counts).
Often yes — many teams combine orchestration & workflows. Check each tool's docs for interop; they solve overlapping but not identical problems.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.