OpenComputer is live · free plan, paid from $49/mo · last verified 21 Oct 2026 · viability healthy
OpenComputer
Deploys a managed AI agent to a permanent URL, with durable sessions and mid-run steering.
OpenComputer sells the part of the agent stack most teams never get around to building: hosting, durability, and an operations surface. Durable sessions plus mid-run steering are the two features that separate it from a thin wrapper around a chat endpoint, and the CLI-plus-coding-assistant setup gets you live fast. The honest trade-off is that it is infrastructure only — if your real problem is multi-agent coordination, you bring that logic yourself; if you want a drag-and-drop builder, look at a visual agent platform instead. It assumes you already know what your agent should do.
Verdict generatedVerified 8d ago · liveness 73/100 · cite: rightaichoice.com/tools/opencomputer
- Developers who want an agent deployed to a permanent URL without building orchestration and scheduling themselves
- Product teams automating internal workflows across Slack, Jira, and Google Sheets
- Startups that need a working agent in production quickly rather than a research project
- Operations teams that need monitoring, logging, and an audit trail for what agents did
- Teams that need complex multi-agent orchestration out of the box
- Organizations requiring on-premise or air-gapped agent deployment
- Teams needing fine-tuning or model swapping as a first-class capability
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Skip OpenComputer if you want a visual, no-code agent builder or expect multi-agent orchestration to be handled for you — this is a CLI-driven deployment layer for an agent whose job you have already defined.
The free Explorer tier lets you evaluate a deployed agent before committing, Starter at $49/mo covers a single team's scheduled and webhook-triggered agents, and Team at $199/mo adds the RBAC and audit trail that operations teams need. Enterprise is custom-priced for multi-team rollouts.
In short
OpenComputer — Deploys a managed AI agent to a permanent URL, with durable sessions and mid-run steering. Best for Developers who want an agent deployed to a permanent URL without building orchestration and scheduling themselves, Product teams automating internal workflows across Slack, Jira, and Google Sheets, Startups that need a working agent in production quickly rather than a research project. Free to start; paid plans from $49/mo.
What is OpenComputer?
OpenComputer — Deploys a managed AI agent to a permanent URL, with durable sessions and mid-run steering. Best for Developers who want an agent deployed to a permanent URL without building orchestration and scheduling themselves, Product teams automating internal workflows across Slack, Jira, and Google Sheets, Startups that need a working agent in production quickly rather than a research project. Free to start; paid plans from $49/mo.
OpenComputer is a managed runtime for deploying AI agents. You describe the agent's job in a prompt.md file, connect the systems it touches, and push it live with a single CLI command — `oc agent deploy`. From then on it sits at a permanent HTTP address that Slack, cron jobs, and webhooks can hit directly, rather than existing only inside a chat window. The audience is developers and product teams who want a working, addressable agent this week instead of a multi-month platform build. The workflow is deliberately short: install the CLI with a shell script, run `oc login`, scaffold with `oc agent init`, deploy, then smoke-test with `oc agent invoke`. The site also publishes copy-paste setup prompts for Claude Code, Codex, opencode, and Cursor, so you can hand the deployment off to a coding assistant without reading docs first. Three things do the differentiating work. Sessions are durable, so an agent survives restarts instead of dying with a dropped request. Agents are steerable mid-run, letting you correct a running agent rather than killing and redeploying it. And the permanent URL turns the agent into something other systems can call like any other service. Around that core sit scheduling, webhook triggers, monitoring and logging, an audit trail of agent actions, rate limiting, and role-based access control. This is not an orchestration framework and not a visual agent builder: it is the deployment and operations layer underneath an agent you have already decided to run.
Key features
- Managed agent runtime with durable sessions that survive restarts
- Permanent HTTP URL for every deployed agent, callable by Slack, webhooks, and cron
- Mid-run steering to correct an agent while it is running
- CLI workflow: oc login, oc agent init, oc agent deploy, oc agent invoke
- prompt.md file becomes the deployable agent definition
- Copy-paste setup prompts for Claude Code, Codex, opencode, and Cursor
- Webhook triggers that start an agent on external events
- Agent scheduling for recurring and long-running tasks
- Monitoring and logging for every agent run
- Audit trail recording agent actions
- Rate limiting and throttling controls
- Role-based access control for team members
- Team collaboration workspaces with shared agents
- Deploy agents without provisioning or managing infrastructure
Behind the verdict
The pattern OpenComputer is betting on is real: most internal agents die not because the model is weak but because nobody hosted them. A prompt that works in a terminal is not a service — it has no address, no retry story, no way for Slack to call it, and it loses all state the moment the process restarts. OpenComputer's answer is to treat an agent exactly like a small web service. You keep the agent definition in a prompt.md file, deploy with `oc agent deploy`, and get a permanent HTTP endpoint. Cron, webhooks, and Slack can then hit it like anything else in your stack. Two features carry most of the differentiation. Durable sessions mean a long multi-step job continues across restarts instead of failing partway through and leaving you to reconstruct where it stopped. Mid-run steering means you can correct an agent that has drifted without killing the deployment and starting over — a small thing that matters a lot once an agent runs for twenty minutes. Around those sit the unglamorous controls that make an agent tolerable to an ops team: scheduling, webhook triggers, monitoring and logging, an audit trail of what the agent did, rate limiting and throttling, and role-based access control on Team plans. The on-ramp is unusually short for infrastructure. A shell-script CLI install, four commands, and a smoke test. The published setup prompts for Claude Code, Codex, opencode, and Cursor are a smart concession to how people actually build now — you can hand the deployment to the coding assistant you already have open. Where it fits: developers and small product teams who have decided what their agent should do and need it hosted, monitored, and reachable this week. Where it does not: teams expecting multi-agent orchestration out of the box, anyone needing on-premise or air-gapped deployment, teams that treat model selection or fine-tuning as a first-class requirement, and anyone who wants a no-code builder rather than a CLI. If you have not yet defined what the agent should actually do, a deployment layer will not help you — it will just host the ambiguity.
Limitations
- Model selection is not exposed as a first-class control, so teams with strict requirements about which model backs each agent should verify what the platform supports before building on it.
- Integrations are limited to the listed partners.
- Deployment is CLI-first, which is fast for developers but assumes comfort with a terminal, and there is no dedicated mobile or desktop app.
- The platform's own framing is deployment — if you need multi-agent coordination, you bring that logic yourself.
as of 2026-10-17
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Is OpenComputer still active?
OpenComputer is live · free plan, paid from $49/mo · last verified 21 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is OpenComputer? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about OpenComputer?
What people actually say about OpenComputer — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy) · researched Sep 23, 2026.
Weighted by the 44 posts each of 5 sources contributed.
- +One-prompt-to-live-URL flow removes the '90% config' pain most agent platforms impose on developers
- +Durable sessions as the core primitive is architecturally sound — the community explicitly endorsed this design choice
- +Broad pre-built integrations with Slack, Notion, Airtable, Google Sheets, GitHub, and Jira cover common workflow needs
- +Managed runtime handles orchestration and scaling, letting solo builders and small teams ship without DevOps overhead
- +Role-based access control, scheduling, and webhook triggers serve teams that need more than a toy agent
- −Credential scoping and blast radius if OpenComputer's infrastructure is compromised remain unanswered publicly
- −Whether live agent URLs are auth-protected or public-by-default is unclear from the launch discussion
- −No substantive production reliability reports from long-term users — everything is launch-day enthusiasm
- −Observability depth for replaying and debugging long-running agent failures is unproven at scale
- −State persistence across redeploys and version changes is an open question developers keep raising
- • Metered agent execution and compute costs are not clearly disclosed — teams running continuous or long-running agents could see unpredictable bills
- • Integration usage (Slack, Notion, etc.) may incur third-party API costs that sit outside OpenComputer's pricing
- • No community reports yet on what happens to billing when agents hit rate limits or retry loops
How we verified this
Every listed fact about OpenComputer— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 21 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified OpenComputer 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing fit, switching in, our verdict, pricing tiers, who should skip it, description, summary, features, setup time, switching out
- — changed pricing tiers, who it suits, our verdict, summary, features, who should skip it, description
- — changed use cases, who it suits, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing fit, setup time, summary
- — changed pricing tiers, description, who it suits, features, summary, our verdict, who should skip it
- — changed SSL certificate
- — changed switching out, who should skip it, setup time, switching in, hidden costs, pricing fit, features
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does OpenComputer cost in 2026?
OpenComputer: Free to start; paid plans from $49/mo. Pricing last verified 21 Oct 2026.
Plans compared
Every published OpenComputer tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Explorer | Free | — | A developer evaluating whether a managed, addressable agent runtime fits before spending anything.Adds: Free entry point with the managed runtime, permanent agent URL, durable sessions, and mid-run steering. |
| Starter | $49/mo | monthly | A small team putting one or two production agents on scheduled and webhook-triggered runs.Adds: Adds scheduled and webhook-triggered agent runs plus monitoring and logging on top of Explorer. |
| Team | $199/mo | monthly | An operations or product team running shared agents that need access control and an audit trail.Adds: Adds collaboration workspaces, role-based access control, the agent action audit trail, and rate limiting. |
| Enterprise | Custom | quote | Organizations rolling out agents across multiple teams under their own commercial terms.Adds: Custom pricing and terms for larger-scale deployments with organizational controls for multi-team use. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where OpenComputer's pricing actually pencils out — and where peers do it cheaper.
The free Explorer tier lets you evaluate a deployed agent before committing, Starter at $49/mo covers a single team's scheduled and webhook-triggered agents, and Team at $199/mo adds the RBAC and audit trail that operations teams need. Enterprise is custom-priced for multi-team rollouts.
Has OpenComputer's pricing changed?
No plan price for OpenComputer has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick OpenComputer?
Pick OpenComputer if you are Developers who want an agent deployed to a permanent URL without building orchestration and scheduling themselves, Product teams automating internal workflows across Slack, Jira, and Google Sheets, Startups that need a working agent in production quickly rather than a research project, Operations teams that need monitoring, logging, and an audit trail for what agents did.
Look elsewhere if you are Teams that need complex multi-agent orchestration out of the box, Organizations requiring on-premise or air-gapped agent deployment, Teams needing fine-tuning or model swapping as a first-class capability, Anyone wanting a no-code, drag-and-drop chatbot builder.
Skip it if Skip OpenComputer if you want a visual, no-code agent builder or expect multi-agent orchestration to be handled for you — this is a CLI-driven deployment layer for an agent whose job you have already defined.
GeneratedReal-world workflow fit
Concrete scenarios for the personas OpenComputer actually fits — and what changes day-one when you adopt it.
Has a working research agent in a local script that nobody else can reach. Runs `oc agent init`, writes the job into prompt.md, deploys, and smoke-tests with `oc agent invoke`.
Outcome: The agent gets a permanent HTTP URL the support docs can link to, and a webhook from GitHub can trigger it without a human in the loop.
Schedules a weekly agent that reads Jira and Google Sheets and posts a summary to Slack, then watches the run logs the first few cycles.
Outcome: Scheduling plus monitoring and logging replace a manual Monday-morning report, and the audit trail shows exactly what the agent read and wrote.
Pastes OpenComputer's published setup prompt into Claude Code and lets the assistant scaffold, deploy, and verify the agent.
Outcome: Deployment happens from the editor without reading docs first, and mid-run steering lets them correct drift on the first live run instead of redeploying.
Use cases
- Deploy an agent that answers support questions, reachable at a stable URL your docs can link to
- Schedule a recurring agent that syncs records between Notion and Google Sheets
- Fire an agent from a webhook when a GitHub issue is created and post the result to Slack
- Run a long multi-step job that survives a restart instead of failing partway through
- Steer a running agent mid-task when its output drifts, without redeploying
- Stand up an internal agent that reads Jira and Google Sheets to produce a weekly report
Setup time & first value
How long it actually takes to get something useful out of OpenComputer — broken out by persona, not the marketing-page minute.
Developers: roughly 15–30 minutes from CLI install to a live agent at a permanent URL, since the flow is four commands (oc login, oc agent init, oc agent deploy, oc agent invoke). If you hand the published setup prompt to Claude Code, Codex, opencode, or Cursor, expect the first deploy inside a single working session.
Resources & guides
- Quickstartopencomputer.com
Quickstart · OpenComputer
Get up and running fast from opencomputer.com
- Documentationopencomputer.com
Creating An Agent · OpenComputer
Full product docs from opencomputer.com
- Documentationopencomputer.com
Slack · OpenComputer
Full product docs from opencomputer.com
- Documentationopencomputer.com
Scheduling Agents · OpenComputer
Full product docs from opencomputer.com
- Documentationopencomputer.com
Api Reference · OpenComputer
Full product docs from opencomputer.com
Tutorials & Learning
YouTube returned 6 videos for “OpenComputer”, and we withheld 6: 6 could not be judged, because “OpenComputer” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about OpenComputer.
Official links
What are the best OpenComputer alternatives?
The closest alternatives to OpenComputer we list are Taskade Genesis, Pipedream and Langflow. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Taskade Genesis | Freemium | Pricing not published | — |
| Pipedream | Freemium | Pricing not published | — |
| Langflow | Freemium | Pricing not published | — |
Alternatives to OpenComputer
View all
Taskade Genesis
Taskade Genesis turns one prompt into a live business app with AI agents, databases, and automations wired in
Tools that pair well with OpenComputer
Common stack mates teams adopt alongside OpenComputer, with the specific reason each pairing earns its keep.
Taskade Genesis
Taskade Genesis turns one prompt into a live business app with AI agents, databases, and automations wired in
Pipedream
Pipedream gives AI agents managed auth and 10,000+ tools across 3,000+ APIs via MCP and proxy
Langflow
Low-code visual builder for AI agents, RAG pipelines, and MCP servers that deploys as an API
OpenComputer vs its closest rival
OpenComputer's closest head-to-head is with Locus Robotics — If you run a warehouse dealing with physical inventory, Locus Robotics is your pick — it delivers 2-3x productivity gains with AMRs and RaaS model. For digital workflow automation, OpenComputer gets agents running in one click with managed runtime. No overlap; choose based on whether your problem is physical or digital. Verdict generated
Head-to-head comparisons
Opencomputer vs Locus Robotics
If you run a warehouse dealing with physical inventory, Locus Robotics is your pick — it delivers 2-3x productivity gains with AMRs and RaaS model. For digital workflow automation, OpenComputer gets agents running in one click with managed runtime. No overlap; choose based on whether your problem is physical or digital.
GeneratedOpencomputer vs Truleo
If you need to connect siloed law enforcement data (RMS, CAD, jail calls, BWC) and generate automated leads or reduce report writing time from 40 minutes to 7 minutes, Truleo is your only choice. OpenComputer is a general-purpose agent deployment platform for teams wanting to build and manage custom AI agents with integrations to productivity tools like Slack and GitHub. They are not competitors; pick based on your domain: law enforcement (Truleo) vs. custom business agents (OpenComputer).
GeneratedOpencomputer vs Presto Voice
If you run a multi-location QSR and want proven drive-thru automation with built-in upselling, Presto Voice is the clear choice—but it's enterprise only, so smaller restaurants should look elsewhere. OpenComputer is for developers and product teams who need a simple, managed platform to deploy general-purpose agents quickly, though it lacks the specialized voice and restaurant integrations of Presto. Pick the one that matches your domain and scale.
GeneratedFrequently asked questions
Best-of guides
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