anter

Why Anter

The orchestrator is the product.
Here's the proof.

Every one of these platforms will tell you they support multi-agent orchestration. The difference is whether routing is validated, persisted atomically, and bounded by design — or whether it's a prompt you hope holds together. See exactly where each stands.

Vendor capabilities move fast. Claims tied to a specific feature's current status carry a ⓘ icon — tap or hover for the date we last verified them.

vs. the model providers

Anter vs. Anthropic Managed Agents and OpenAI AgentKit

Capability
Model provider
Anter
Delegation depth
A coordinator agent can only delegate one level deep — sub-agents can't delegate further — and the roster is capped at 20 agents.
Multi-hop delegation, bounded by an exact cycle guard, hop-depth ceiling, and step-budget decay — not a flat one-level cap
Unattended approval default
A pending tool approval waits for your application to resolve it — no built-in timeout or auto-deny if nobody ever does.
Fail-closed for every run — an unattended or scheduled execution auto-denies any tool that needs a human's OK, never leaves it stuck waiting

Each claim above is grounded in one specific provider's own current documentation — not asserted to hold across their entire product line. Tap the ⓘ on a claim to see exactly where it comes from.

vs. the agent frameworks

Anter vs. agent frameworks (LangGraph, CrewAI) and no-code builders

Capability
Framework / builder
Anter
Routing decision
A common "manager agent" pattern assigns tasks via a live LLM judgment call, one prompt at a time — not a validated graph.
Validated against a write-time allowlist, then a runtime existence check — every time
What you can take with you
Code export ships frontend code only — the database, business logic, and auth stay on the vendor's own infrastructure, reachable only through their SDK.
Your agents are portable as data, not screenshots: every agent exports to a versioned spec file you own, and runs against a documented HTTP API

Each claim above is grounded in one specific vendor's own material (or, where noted, independent reviews) — not asserted to hold across every framework or builder. Tap the ⓘ on a claim to see exactly who and where it comes from.

Go deeper on one vendor

vs. Claude Managed Agentsvs. OpenAI AgentKitvs. CrewAIvs. LangGraphvs. Base44vs. building it yourself

Check the claims yourself.

We'd rather you verify these claims than take our word for them. Every competitor claim above links to that vendor's own current documentation. For ours: the free tier runs the same orchestrator this page describes, so you can watch the routing timeline, export an agent to a spec file, and reconnect mid-stream yourself. Our chat SDK, @anter/ai-chat-sdk, is public and MIT. Our orchestration core is not public today — ask us for the technical deep-dive and we'll walk you through it directly.

Try it on the free tierTalk to the team

Managed Agents Platform vs. DIY Agent Infrastructure

A managed agents platform provides pre-built execution runtimes, atomic state persistence, multi-agent routing graphs, and SSE streaming out of the box—eliminating the months required to build reliable DIY agent infrastructure.

Validated Routing vs Prompt Chaining

Handoffs and transfers follow strict allowlist graphs validated at write-time and runtime rather than unconstrained model guesses.

State Replay & Audit Trails

Durable event logs allow streaming replay from any execution step for instant debugging and zero lost runs.

Zero-Trust Tenant Security

Session parameters and tool credentials are injected securely by the runtime server, preventing prompt injection leakage.

Start Building FreeSee the orchestrator diagram