Orchestration
Exogram vs LangGraph
“State machines are not security boundaries.”
What LangGraph Does
- •LangGraph allows developers to build stateful, multi-actor applications with LLMs.
- •It excels at cyclical workflows, treating agents as nodes in an execution graph.
- •Manages internal application state well, but does not explicitly govern external execution safety.
- •If a LangGraph node proposes a destructive payload, the graph executes it.
What Exogram Does
- ▸Exogram governs the execution output of any LangGraph node.
- ▸While LangGraph manages the state machine, Exogram validates the external actions (tool calls) generated during that state cycle.
- ▸Integration is immediate: wrap the tool execution node with the Exogram evaluator. 0.07ms latency per node execution.
Key Differences
| Dimension | LangGraph | Exogram |
|---|---|---|
| Primary Role | State orchestration routing | Admissibility validation |
| Cyclical Risk | Executes whatever the node proposes | Mathematically blocks invalid mutations |
The Verdict
Use LangGraph to coordinate your agent's state machine. Use Exogram to ensure those state transitions do not result in destructive database mutations.
Is LangGraph vulnerable to execution drift?
Run a static analysis on your LLM pipeline below.
STATIC ANALYSIS
Frequently Asked Questions
Does Exogram replace LangGraph?
No. LangGraph decides *when* an agent should take an action based on graph topology. Exogram decides *if* that action is allowed to execute based on deterministic policy.