Comparison
Orgabot vs. agent frameworks and workflow engines
Three different categories get called the same thing. Here is what each one actually owns, what it leaves to you, and where Orgabot is the wrong tool.
What is the difference between them?
An agent framework gives you the pieces to build an agent system: agents, tools, messages, graphs. You write the control flow, and everything about safety and quality is yours to add. A workflow engine runs multi-step processes reliably, and the durable-execution ones (Temporal, Restate) resume exactly where a crash stopped them. None of them has an opinion about whether a step did anything useful. Orgabot is neither: it is a control plane that owns a unit of work from instruction to pull request, and its opinions are about who may act, what counts as done, and who checked.
The three compose more than they compete. Orgabot runs on a durable runtime, and a worker it drives could be built with any agent framework.
A note on names. In October 2025 Microsoft announced that AutoGen would keep receiving critical bug fixes and security patches but no significant new features; in April 2026, days after Microsoft Agent Framework reached 1.0, the AutoGen README began describing the project as in maintenance mode and community managed, with Agent Framework as its successor. So Agent Framework is the project named in the framework column here. Everything said about AutoGen still applies to an existing AutoGen deployment; it is simply not the thing to compare a new choice against.
How do they actually differ?
| Dimension | Agent frameworksLangGraph, CrewAI, Microsoft Agent Framework | Workflow enginesTemporal, Restate, Airflow, n8n | Orgabot |
|---|---|---|---|
| What it is | A library for building agents and the messages between them. | A runtime for multi-step processes. Durable-execution engines (Temporal, Restate) resume mid-workflow; a scheduler (Airflow) or an automation tool (n8n) restarts a step rather than resuming inside it. | A control plane that owns a unit of work end to end. |
| Who writes the control flow | You do, in application code. | You do, as workflow definitions. | Orgabot plans it from the instruction; you define roles and policy. |
| Unit of work | An agent run, or a graph of them. | A workflow execution. | A mission, owned by a role in an org chart. |
| Isolation between concurrent work | Something you wire up. Each of them can run generated code in a sandbox and each makes you choose and configure one, and the specific mechanism has changed more than once in the last year in every one of them. A tool that is not a code executor reaches whatever your process reaches. | Whatever the executor gives you, which in Airflow alone ranges from a child process on the scheduler node to a container per task. The workspace is your problem in all of them. | A real, separate git worktree per unit of work. |
| Verification | Whatever you build. Often an agent judging an agent. | A step succeeds if your code returns; it has no opinion on quality. | The project’s own test command, run by Orgabot, gated on the exit code. |
| Independent review | Possible to build; not a property of the framework. | Out of scope. | Structural: the reviewer is never the producer. |
| Authority model | Tools are functions. Whatever the process can reach, the agent can reach. | Inherited from the worker process. | Per-role capability packs and connector grants; no self-granting. A role-owned mission whose connector is unavailable HOLDS rather than falling back to your identity. |
| Human approval | A built-in primitive. In Python: LangGraph interrupt(), CrewAI human_input, Microsoft Agent Framework ctx.request_info() inside an executor with @response_handler, whose @tool(approval_mode=…) defaults to never requiring one. Agent Framework in .NET and Go asks for the same thing through a request port wired into the graph. Who is asked, and the record of it, are yours. | A signal or a timer you write. | A first-class gate: routed to the accountable role, and recorded with the decider. |
| Audit trail | Traces and token logs, for debugging. | Temporal and Restate keep a journal they replay to reconstruct state. Airflow keeps task-instance state and logs, and n8n keeps execution data; neither replays. | Append-only events plus a hash-chained ledger of every elevated action and its authority. |
| Durability | Supported everywhere, configured by you: a LangGraph checkpointer persists graph state, CrewAI Flows have @persist, Microsoft Agent Framework checkpoints workflow state. In the libraries none of it is on until you turn it on, and without it a crash loses the run; a managed deployment may configure the persistence for you. | Temporal and Restate resume at the exact step. Airflow retries a task from its beginning; n8n re-runs the workflow with the previous execution data, and resumes where it stopped only if you enable saving execution progress. Resuming mid-TASK in either is something you checkpoint yourself. | Also a choice, and one you make before the first mission. Durable mode runs on Restate and a journaled step is not re-executed on resume; quick-start skips it and is labelled Not restart-safe, exactly like an unconfigured checkpointer. |
| Where it runs | Your process, anywhere. | A server or cluster you operate, or a managed service: a process beside your code rather than a library inside it. | Local-first, on your machine, against your repositories and credentials. Restart-safe mode runs a local Restate server alongside Orgabot; quick-start runs Orgabot alone. |
| What you get out | Whatever your code writes. | Whatever your activities write. | A draft pull request in your own review process, or a hold explaining why not. |
Honestly
When is Orgabot the wrong choice?
A comparison page that cannot answer this is an advertisement.
- You need a hosted, multi-tenant service. Orgabot is local-first by decision, not by roadmap accident.
- You are embedding agent behaviour inside your own product. That is what a framework is for.
- Your repository has no test suite worth gating on. The verification gate is most of the value and there would be nothing to verify against.
- You want a general-purpose workflow tool. Orgabot is opinionated about roles, review and approval, and those opinions are not configurable away.
- You want it today at scale. It is a private alpha built by one developer, and it says so.
FAQ
Common questions
- Is Orgabot a replacement for LangGraph, CrewAI or Microsoft Agent Framework?
- Not really, and the framing is worth resisting. Those are libraries for building an agent system; Orgabot is a system. If you are shipping an agentic feature inside your own product, you want a framework and you should ignore Orgabot. If you want work delivered against your own repositories under rules you can point at, that is what Orgabot is. They are also composable in principle: a worker Orgabot runs could be built with any of them.
- Is Orgabot a replacement for Temporal, Restate or Airflow?
- No. Durable execution is one ingredient Orgabot uses rather than a competitor to it: mission orchestration is written against a minimal durable-execution interface, and Restate is the current implementation. If you already run a workflow engine, Orgabot is not asking you to stop; it is the layer above that decides what the steps are, whether they succeeded, and who was allowed to take them.
- When is Orgabot the wrong choice?
- When you need a hosted, multi-tenant service (Orgabot is local-first by decision, not by roadmap accident); when you are embedding agent behaviour inside your own product rather than directing work; when your repository has no test suite worth gating on, since the verification gate is most of the value; or when you want a general workflow tool rather than one opinionated about roles, review and approval.
- Does the verification gate work for languages other than JavaScript?
- Yes. The gate runs the command a project is registered with, whatever it is, and reads the exit code. There is nothing language-specific about it; a project with no configured or detected command simply runs without machine verification, which is recorded rather than hidden.
- Can I use my own model or coding agent?
- Yes. The worker is a swappable seam: the deterministic mock worker used in tests and the real Claude Code adapter implement the same contract and are interchangeable under the orchestrator, and a new adapter plugs in at that seam.
If the fourth column is the one you wanted, try it.
Orgabot is a private alpha. It runs on your machine, gates on your own test suite, and delivers work as pull requests you review like any other.