AGENTPARLEY VS OPENCLAW

OpenClaw is very good.
Here is where it stops.

OpenClaw is free, open source, self-hosted, and one of the most-starred projects on GitHub for good reason. It is genuinely private and genuinely yours. If those are your deciding factors, use it — we would rather you know that on this page than discover it after a migration. What follows is what tends to break when one assistant becomes several agents doing real work.

DIMENSIONOpenClawAgentParley
ShapeOpenClawOne long-running assistant on a machine you own, bridged to a dozen messaging platforms.AgentParleyA crew of specialist agents that delegate to each other, plus subagents spawned per task.
HostingOpenClawSelf-hosted Node service. Yours entirely — and it stops when the machine does.AgentParleyHosted. No install, no server, no maintenance window you have to attend.
PrivacyOpenClaw100% local, zero cloud dependency. The strongest thing about it.AgentParleyMulti-tenant cloud with tenant isolation. Your model keys, your provider. We hold transcripts and workspace files.
CostOpenClawFree and open source. You pay for hardware and inference.AgentParleyPlatform subscription. Inference billed by your provider at cost — no markup.
DurabilityOpenClawA process. Restart the box and the work is gone.AgentParleyMissions survive restarts and crashes. Retries and scheduling are ours to own.
ExtendingOpenClawEdit the repo. Adopting a new technique means re-engineering your prompts.AgentParleyInstall a plugin. It can rewrite the system prompt, replace compaction, or ship a whole crew.
Third-party codeOpenClawRuns with the trust of your machine.AgentParleyTrust tiers. Untrusted code runs sandboxed in an isolated V8 over gRPC.
TeamsOpenClawOne operator, one config.AgentParleyAccounts, seats, SSO, SCIM, per-agent permissions, audit log.
SpendOpenClawWhatever your provider dashboard says at month end.AgentParleyMetered per session, per agent, per model, with quotas and history.
we're not the right fit if
Nothing about the work may leave a machine you own. We're hosted — that's a hard no for us.One assistant on one machine already covers what you need. We're built for delegation across several.You want to read and change every line of what runs your agent.The budget is zero. We charge for the platform on top of your model spend.
come here if
You want several specialists dividing the work, not one generalist queueing it.Missions have to keep running when your laptop closes.You would rather install a technique than port it.More than one person needs access, with different permissions.You need to know what each agent spent.
THE COMPOUNDING PART

Caveman and Ponytail were both somebody's repo first.

Two techniques showed up on GitHub, turned out to work, and are now plugins in our catalog: one shortens output without touching code or error text, the other makes the model reach for the smallest correct solution. On a self-hosted setup, adopting either means reading a stranger's repo, understanding it, and re-engineering your own prompts and pipeline. Here it is one click, sandboxed, and everyone's agents get better at once. In a field moving weekly, that difference compounds faster than any single feature.

no hard feelings — we run OpenClaw at home too

Crews of expert agents that finish the work.

Create an account, add your model key, and write your first agent's soul. The rest of the crew can arrive in one click.

Assemble your crewRead the docs