LangGraph vs. Temporal vs. Invoke
LangGraph orchestrates how an agent reasons. Temporal durably executes any workflow. Invoke governs the moment an agent's decision becomes a real-world action. A practical comparison of where each one sits.
The wrong way to read this comparison
These three tools get compared online mostly because they all show up in “how do I run agents reliably” threads. But they answer different questions, and only one pair of them overlaps even a little. This is a map of where each one sits, not a bake-off.
What each one actually is
LangGraph — orchestrates the agent's reasoning
LangGraph is a library for building an agent as a graph: nodes are steps, edges are the logic that moves state between them, and it natively supports cycles, branching, and human-in-the-loop interrupts. It’s the tool you reach for when a single “call the model, call a tool, call the model again” loop isn’t enough — when you need retries on the reasoning side, parallel branches, or a supervisor coordinating sub-agents. It answers what should the agent do next, including when that means looping back or asking a human.
Temporal — durably executes any workflow
Temporal is a general-purpose durable execution engine. You write a workflow as ordinary code; Temporal persists its state at every step, so if a process crashes mid-workflow it resumes from exactly where it left off instead of restarting. It has nothing specifically to do with AI — it runs the same way for a payment pipeline, a data migration, or a multi-day approval process. Teams adopt it for agents because “durable, replayable execution of arbitrary code” is a real property agents need, and Temporal is a mature, battle-tested way to get it.
Invoke — governs the moment the action fires
Invoke doesn’t decide what an agent does next, and it doesn’t run your workflow. It sits at the boundary where a decision — from LangGraph, Temporal, or a bare model loop — becomes a real side effect: a charge, a database write, a Slack message, an email. At that boundary it checks identity, budget, and policy; keys the effect so a retry can’t duplicate it; routes anything risky to a human; and seals what happened into a signed receipt.
Side by side
| LangGraph | Temporal | Invoke | |
|---|---|---|---|
| Answers | What should the agent do next | How do I run any workflow durably | Is this action allowed, and did it already happen |
| Primitive | Graph node / edge | Workflow / activity | eff_<sha256> |
| AI-specific | Yes | No — general purpose | Yes |
| Prevents a retried side effect from firing twice | Not built in | Not built in (you write idempotency into the activity) | Yes — keyed by content hash |
| Spend / token budgets | Not built in | Not built in | Yes — enforced before execution |
| Human approval gate before an action fires | Interrupt primitive; you build the gate | You build the signal and gate | Built in — suspend, approve, deny |
| Credentials reach the model | Depends how you wire tools | Depends how you write the activity | Never — runtime attaches them |
| Signed, tamper-evident audit trail | Not built in | Workflow history (not signed for external audit) | Yes — HMAC-chained receipts |
How they actually combine
In practice these aren’t exclusive. A team building a serious agent system might use LangGraph to structure the reasoning, Temporal to make the overall workflow crash-proof across days, and Invoke on every tool call the graph makes — so the same charge Temporal will faithfully replay on crash is also the same charge Invoke refuses to fire twice, budget-checks, and receipts. Invoke sits one layer below both of them: neither replaces it, because neither one asks whether this specific real-world action should happen, and whether anyone can prove it did.
You’re not actually choosing one. Pick LangGraph or a similar framework if you need to structure how the agent reasons. Add Temporal if the workflow itself needs to survive crashes over long time horizons. Add Invoke the moment any of those roads leads to a real charge, a real email, or a real write — because that’s the one none of them govern.
The boundary Invoke won't cross
To be direct about scope: Invoke is not going to grow into an orchestration engine, and it’s not trying to replace LangGraph’s graph model or Temporal’s workflow engine. That’s a deliberate line. Reasoning about what an agent should do next is a different problem from governing whether the resulting action is safe, authorized, and provably exactly-once — and trying to own both usually means doing neither well.
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Read →Keep your framework.
Govern the call underneath it.
Invoke sits under LangGraph, Temporal, or a bare model loop — no framework migration required.