AgentOS vs LangGraph
LangGraph is one of the best ways to build an agent — graphs, state, streaming, checkpointing, a huge ecosystem. AgentOS doesn't compete with that, and says so on its own Platform page. A framework decides how one agent reasons. AgentOS decides what any agent — LangGraph agents included — may do, as whom, and with what evidence.
Choose LangGraph to build your agents — it’s an excellent framework. Choose AgentOS to run them as a governed workforce: identity in your directory, fail-closed policy, budgets, approvals and audit. This isn’t an either/or page; “build in your framework, govern with us” is literally how AgentOS works.
For the security & risk owner
| Dimension | AgentOS | LangGraph |
|---|---|---|
| Agent identity | ✓ Every agent is a named principal in your directory; credentials issued per worker, never shared | ✗ A graph is code; identity is whatever your application supplies |
| Delegated authority | ✓ Subject/actor chain on every hop; an orchestrator can never exceed the requester | ◐ You can thread user context through state — hand-rolled, unenforced |
| Authorization | ✓ Externalized OPA policy + SpiceDB relationship graph, fail-closed, enforced at the resource — not in prompt text | ◐ Custom auth handlers authorize every request against threads, assistants and crons and can inject filters; what the agent may do inside a run is your code |
| Human approvals | ✓ Durable platform primitive — survives restarts, waits days, lands in the audit ledger | ◐ interrupt() gives human-in-the-loop pauses; approval evidence is yours to build |
| Scheduled autonomy | ✓ Standing authority that expires: permissions re-resolve at every fire, originators recertify every 30 days, and a target that drifted refuses to run | ◐ Cron and background runs built into the platform, authorized as platform resources |
| Cost governance | ✓ Per-action attribution, windowed quotas, budget envelopes that travel with delegated work | ◐ Token usage via LangSmith tracing; no budgets or envelopes |
| Audit & evidence | ✓ Correlated governance-grade ledger — even a skipped scheduled fire is a record; SIEM export, evidence packs | ◐ LangSmith traces are rich telemetry — not governance evidence |
For the platform architect
| Dimension | AgentOS | LangGraph |
|---|---|---|
| Build model | ✓ Build here or bring your own — a no-code builder and governed build service in the platform, plus any framework (LangGraph, CrewAI, plain code) over open contracts | ✓ Excellent build experience — graphs, state, streaming; the point of the product |
| Integrations | ◐ Governed connector layer — fewer connectors, every one policy-checked with provenance | ◐ The whole LangChain ecosystem — every credential handled by your code |
| MCP | ✓ MCP servers as first-class governed connectors: brokered egress so no credential reaches the agent, per-caller tool visibility, per-principal OAuth binding | ◐ MCP adapters exist; governance of tool calls is yours |
| Multi-agent | ✓ Open A2A mesh with authorization-bound edges; mutual TLS with SPIFFE-issued workload identities | ◐ Multi-agent graphs in-process; no cross-service authorization or mTLS |
| Long-running work | ✓ Durable orchestration — workflows survive restarts mid-approval | ✓ Durable execution with super-step checkpointing — runs resume where they left off; managed Postgres checkpointer on the platform |
| Knowledge access | ✓ Tenant-scoped retrieval with provenance; the egress gate replays the requester's entitlement on the way out | ◐ Retrievers galore; tenancy and leakage control are app concerns |
| Applications | ✓ Governed app registry — vertical apps launch same-domain with SSO, enabled per tenant, every enablement audited | ✗ A library, not an app platform |
| Deployment | ✓ Your Kubernetes, any cloud, federated to your IdP; first-class multi-tenancy | ◐ Self-host the library anywhere; the managed platform is LangChain's cloud |
Where LangGraph is the right choice
- Building the agent itself — control flow, state, streaming. That’s the framework’s job and LangGraph does it well.
- Prototyping and research, where governance would be ceremony.
- Teams already deep in the LangChain ecosystem.
The honest architecture: LangGraph is a row above AgentOS in our own published responsibility table — “how an individual agent reasons and plans: your agent framework.” Bring your LangGraph agents; AgentOS gives them identity, budgets, approvals and an audit trail.
Questions prospects actually ask
No. AgentOS is a thin SDK over open contracts around your agent, not a replacement for what’s inside it. Your graph keeps reasoning the way it does today.
It’s durable execution of one agent’s state, and it’s good. AgentOS durability is about the work between actors: an approval that waits four hours across two restarts and lands in an audit ledger naming who approved it.
LangSmith answers “what did the agent do?” for engineers. AgentOS answers “who authorized it, under which policy, on whose behalf, at what cost?” for your security team and your auditors.
Don't take a comparison table's word for it.
Forty-five minutes with an architect, on a live cluster — bring your hardest governance question and we'll answer it on running software.