Exogram + LangChain
“A stack, not competitors.”
What LangChain Does
- •LangChain provides chains, agents, tool abstractions, and the LangChain Expression Language (LCEL).
- •LangSmith adds observability — you can see what agents did after the fact.
- •The most popular agent framework in the ecosystem, used by thousands of production applications.
What Exogram Does
- ▸Exogram sits between LangChain's agent output and your tool execution.
- ▸Every tool call LangChain routes passes through Exogram's policy engine before reaching your systems.
- ▸2-line integration: wrap your tool execution with `exogram.evaluate()` — works with any LangChain agent.
Key Differences
| Dimension | LangChain | Exogram |
|---|---|---|
| Role in Stack | Orchestration + observability | Execution governance |
| Timing | Post-execution visibility | Pre-execution validation |
The Verdict
LangChain handles cognition and orchestration. Exogram handles secure execution authorization. They are a stack, not competitors.
Interception Latency Benchmark
Unlike standard LLM-based guardrails that invoke external APIs on every single tool execution, Exogram compiles policies to execute in-memory inside the client runtime.
Is LangChain vulnerable to execution drift?
Run a static analysis on your LLM pipeline below.
Frequently Asked Questions
Does Exogram replace LangChain?
No. They operate at different layers. LangChain orchestrates agent workflows. Exogram governs whether each action in that workflow is allowed to execute. You use both.
How do I integrate Exogram with LangChain?
Wrap your tool execution with exogram.evaluate(). Two lines of code. The Exogram quickstart page shows the exact integration diff.
Why doesn't LangSmith solve the governance problem?
LangSmith is observability — it shows you what agents did. Exogram is governance — it controls what agents can do. You can't undo a database deletion by looking at a trace log.