useagent
Open-source AI coworker that gives Claude Code, Codex, OpenCode, and Pi each their own cloud computer.
If your team already pays for Claude Code, Codex, or OpenCode and wants agents doing real work on real machines, useAgent is a genuinely different shape: a desk instead of another chat window. The named pieces you actually evaluate are the per-thread Linux workstations with screen recording, the shared event contract across four agent CLIs, GitHub-imported versioned skills, the Slack thread delivery, and approval gating that pauses a gated tool and resumes with a one-shot capability. Alternatives like vendor-hosted agent platforms bundle the model and skip the ops; useAgent trades that setup work for data locality and your own provider billing. Go in knowing it is alpha, self-hosted, and
Verified 6d ago · liveness 68/100 · cite: rightaichoice.com/tools/useagent
- Engineering teams already paying for Claude Code, Codex, or OpenCode subscriptions
- Organizations that need agents running on their own Linux hosts and their own Postgres
- Teams whose work mixes PRs, reports, spreadsheets, and decks in one thread
- Platform engineers comfortable with Docker, Kamal, Terraform, and multi-service deploys
- Non-technical users who want a no-setup chat product
- Teams unwilling to operate and maintain their own infrastructure
- Anyone expecting bundled model access without connecting their own provider account
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Skip useAgent if you want a bundled model and a hosted no-setup product — it expects you to bring your own Claude Code, Codex, or OpenCode subscription and to run the backend, gateway, and Postgres yourself.
useAgent doesn't resell tokens, so the real bill is your own Claude Code, Codex, or OpenCode subscription or API key — budget it as a hard dependency, not an add-on.
The scrape doesn't publish how useAgent is sold, so the honest read is that cost is dominated by two things you already control: your existing Claude Code, Codex, or OpenCode subscription (or API key) and the infrastructure to run backend, frontend, gateway, Postgres, and sandboxes. That makes it cheap for teams already paying for an agent subscription and expensive in engineering time for teams without a platform engineer.
In short
useagent — Open-source AI coworker that gives Claude Code, Codex, OpenCode, and Pi each their own cloud computer. Best for Engineering teams already paying for Claude Code, Codex, or OpenCode subscriptions, Organizations that need agents running on their own Linux hosts and their own Postgres, Teams whose work mixes PRs, reports, spreadsheets, and decks in one thread. Free to use.
What's new in useagent
Checked 6 days agoAcross the latest 1 update: 1 news mention.
What people actually say about useagent — is it worth it?
We scanned public community sources for useagent on Sep 23, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 4 of the posts we fetched could be positively tied to useagent. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is useagent? 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: September 2026
How we score →Key Features
- Each agent thread gets an isolated Linux cloud computer with desktop, terminal, and browser
- Runs Claude Code, Codex, OpenCode, and Pi behind one session UI and event contract
- Connect a supported provider account or API key instead of buying metered tokens
- Daytona managed sandboxes or self-hosted CubeSandbox for full data locality
- Screen recording of agent workstations for reviewing what a run actually did
- Import versioned skills from GitHub and pin a playbook to a task
- Team knowledge base and wiki pages with personal and organization memory scopes kept separate
- Native Slack integration for mentions, threads, and artifact delivery
- GitHub App integration for auth, repository clones, and pull requests
- OAuth connectors for Gmail, Linear, Notion, and HubSpot with server-side sealed tokens
- Produce documents, spreadsheets, presentations, PDFs, images, videos, and PRs
- Revisioned edits and native exports on supported artifact formats
- Schedule recurring tasks, inspect run history, or trigger one immediately
- Approval controls that pause gated tools and resume with a one-shot, argument-bound capability
- Durable Postgres event timeline with recovery that re-probes live sessions after restart
About useagent
useAgent is an open-source AI coworker for engineering teams that replaces the chat box with a workspace. Every agent thread gets its own isolated Linux cloud computer — repositories, a terminal, a desktop, and a real browser — running behind one session UI and event contract across Claude Code, Codex, OpenCode, and Pi. Rather than reselling metered tokens, you connect a provider account or API key your team already pays for. Ask for research, a website, a spreadsheet, or a code change; follow the run in the thread; step into the desktop or terminal when you need to unblock something; then collect finished documents, spreadsheets, presentations, PDFs, images, videos, and pull requests, with revisioned edits and native exports on supported workpieces. Team context lives beside the work: versioned skills imported from GitHub, playbooks pinned to tasks, a knowledge base with wiki pages, and optional team memory kept separate from personal memory. Work arrives from Slack mentions and threads, a GitHub App for auth, clones and pull requests, and OAuth connectors for Gmail, Linear, Notion, and HubSpot whose tokens are sealed server-side behind the gateway. Recurring tasks can be scheduled and inspected, gated tools pause for an approval and resume with a one-shot capability, and Postgres stores the event timeline so sessions survive a restart. Self-hosting is the default path — AGPL-3.0 source, a separate commercial license, Docker and Kamal compose files, and an infra/self-host guide with a Terraform reference host. The project labels itself alpha software: APIs and schemas may shift between releases, so pin a tag.
Behind the Verdict
The interesting choice useAgent makes is refusing to ship a model or a coding agent of its own. Instead it packages existing agent CLIs — Claude Code, Codex, OpenCode, and Pi — behind one session UI and event contract, and lets you connect a provider account or API key you already pay for. That is a real cost decision: your token spend stays on your existing subscription rather than being marked up through a reseller. The second choice is that every thread gets a physical-feeling machine: an isolated Linux workstation with desktop, terminal, and browser, backed by Daytona managed sandboxes or a self-hosted CubeSandbox for full data locality, with screen recording so you can review what a run actually did. The third is that work arrives and lands in the same gate — Slack mentions, threads and artifact delivery on one side; GitHub App auth, clones and PRs plus OAuth connectors for Gmail, Linear, Notion, and HubSpot on the other, with connector tokens sealed server-side behind the gateway. The production habits show in the smaller details. Skills imported from GitHub are versioned, so a run records exactly which version it used. Playbooks can be pinned to a task. Knowledge, wiki pages, and optional team memory sit beside the work, and personal memory is kept separate from organization memory. Recurring tasks can be scheduled and inspected. Gated tools pause for an explicit decision and resume with a one-shot, argument-bound capability. Postgres stores the event timeline, and recovery re-probes live sessions after a restart. Where it does not fit: this is alpha software, and the README says so — expect rough edges and pin a tag if you need stability. Self-hosting is the primary supported path, so someone has to stand up backend, frontend, gateway, and infrastructure. You must bring your own agent subscription, which is the real cost driver and a hard dependency. Licensing is AGPL-3.0 with a separate commercial license, which matters if you plan to embed or resell. If you want a no-setup chat product or only want coding autocomplete inside your editor, look elsewhere.
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Real-world workflow fit
Concrete scenarios for the personas useagent actually fits — and what changes day-one when you adopt it.
Deploys useAgent from the Docker and Kamal compose files, points it at the company Postgres, connects the team's existing Codex subscription, and imports the team's skills repo from GitHub so runs record which skill version they used.
Outcome: A self-hosted workspace where any engineer can open a thread and get an isolated Linux workstation with their repositories, terminal, and browser — data stays on their own hosts.
Mentions the agent in a Slack thread with an attached spec, gets back a finished deck and a pull request, and steps into the agent's desktop mid-run to correct the direction when the output drifts.
Outcome: Artifacts land back in the same Slack thread, and the run history sits in Postgres so the decision and its evidence survive a restart.
Schedules a recurring task that pulls context from Notion and Linear through the OAuth connectors, and lets a gated tool pause for approval before it touches anything sensitive.
Outcome: The task runs on schedule with its history inspectable, and the approval gate resumes the run with a one-shot, argument-bound capability instead of open-ended access.
Use Cases
- Ask an agent to research a topic in a real browser and return a written report with sources.
- Have an agent build and hand back a finished website or landing page.
- Generate a spreadsheet or deck from your team's repositories and pinned playbooks.
- Assign an agent a code change and open a pull request when it is done.
- Deploy a self-hosted agent workspace connected to your internal repositories.
- Step into a running agent's desktop or terminal mid-task to redirect or unblock the work.
- Mention an agent in Slack, send attachments, and receive the finished artifact in the thread.
- Schedule a recurring task and inspect its run history in Postgres-backed sessions.
Limitations
- useAgent labels itself alpha software: the README says expect rough edges and that APIs and schemas may change between releases, so pin a tag if you need stability.
- Self-hosting is the primary supported path, so a working deployment means standing up backend, frontend, gateway, and infrastructure components yourself.
- You must supply your own agent subscription — Claude Code, Codex, or OpenCode — which is the real cost driver and a hard dependency; useAgent does not bundle model access.
- Postgres is a hard dependency for the durable event timeline.
- Licensing is AGPL-3.0 with a separate commercial license, which matters if you plan to embed or resell it.
- The scrape does not surface context-window specifics, published rate limits, or how the project is sold.
as of 2026-09-23
Where the pricing makes sense
The company stage and team size where useagent's pricing actually pencils out — and where peers do it cheaper.
The scrape doesn't publish how useAgent is sold, so the honest read is that cost is dominated by two things you already control: your existing Claude Code, Codex, or OpenCode subscription (or API key) and the infrastructure to run backend, frontend, gateway, Postgres, and sandboxes. That makes it cheap for teams already paying for an agent subscription and expensive in engineering time for teams without a platform engineer.
Setup time & first value
How long it actually takes to get something useful out of useagent — broken out by persona, not the marketing-page minute.
Platform engineer with Docker/Kamal experience: expect hours, not minutes — you stand up backend, frontend, gateway, Postgres, and sandbox infrastructure from the compose files before the first thread runs. Team member once it's live: minutes to connect a provider account and start a thread. Non-technical buyer: this is not the path. Pin a tag before deploying, since it's alpha software.
Switching to or from useagent
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a vendor-hosted agent platform: redeploy useAgent on your own hosts and connect the Claude Code, Codex, or OpenCode subscription you already pay for.
- →From raw Claude Code or Codex CLI in a terminal: keep the same CLI, add the shared session UI, per-thread cloud computer, and Postgres event timeline.
- →From an in-editor coding assistant: assign code changes as threads that open a pull request via the GitHub App instead of completing inline.
- ↗To a hosted agent platform: if you want bundled model access and no infrastructure, the per-thread cloud computer and approval gating are the capabilities you give up.
- ↗To raw agent CLIs: your skills repo and playbooks export cleanly, but you lose the shared session UI and the durable Postgres timeline.
Integrations
Resources & Guides
- Resourcegithub.com
Useagent · useagent
Helpful link from github.com
- Resourcegithub.com
README · useagent
Helpful link from github.com
- Resourcegithub.com
AGENTS · useagent
Helpful link from github.com
- Resourcegithub.com
DESIGN · useagent
Helpful link from github.com
- Documentationgithub.com
Docs · useagent
Full product docs from github.com
- Resourcegithub.com
Docs Site · useagent
Helpful link from github.com
- Resourcegithub.com
Self Host · useagent
Helpful link from github.com
Tutorials & Learning
YouTube returned 6 videos for “useagent”, and we withheld 6: 6 could not be judged, because “useagent” 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 useagent.
Official links
Tools that pair well with useagent
Common stack mates teams adopt alongside useagent, with the specific reason each pairing earns its keep.
Ellipsis
Define cloud coding agents in environment.yaml, deploy them by merging a PR, and run Claude Code or Codex with scoped permissions and hard spend caps.
Zhipu GLM
Zhipu GLM delivers open-source LLM models, MaaS APIs, and autonomous agents for Chinese enterprises and developers.
Cosine Genie
Cosine Genie is a coding AI built on production code, with CLI, cloud, and air-gapped deployment for maintainable software.
Featured Head-to-Head Comparisons
Useagent vs Cognition Ai
These are not substitutes. Cognition sells an enterprise autonomous engineer with bundled models, vendor-hosted infrastructure, and a contract — the play if you want outcomes without running anything yourself. useAgent is free open source that turns the Claude Code/Codex subscription you already pay for into a multi-machine workspace, and in exchange you operate the infrastructure and accept alpha churn. Pick Cognition when procurement, compliance, and hands-off delivery matter; pick useAgent when you have platform engineers who would rather own the stack than rent it — and if your honest answer to 'which would we buy?' is 'both solve different problems,' you're right. Nobody hedging one budget against the other should be reading this as a bake-off.
Useagent vs Poke Interaction Co
These aren't competitors — pick the one that matches your problem, not by comparing specs. If you run an engineering org whose agents need a real Linux box, terminal, browser and self-hosted data locality, useAgent is built exactly for that; it's free/open-source but expects you to wire your own provider account and infra. If you want email, calendar and reminders handled inside the messaging app you already text from, Poke is the fit — and its recent move to Cognition means it now shares the Devin house. Don't buy either hoping to do the other's job.
Useagent vs Temporal Ai
These two solve the same problem from opposite ends and rarely get bought together. Temporal is what you choose when your own developers are writing agent or service code and you need the execution itself to be crash-proof — retries, timeouts, versioning, replay, and Saga compensation as first-class primitives across eight languages. useAgent is what you choose when your team already pays for Claude Code, Codex, OpenCode, or Pi and just wants each thread to have its own Linux computer, browser, and file output, with Slack and GitHub as the surface. If you're building agent infrastructure, buy Temporal. If you want non-engineer-friendly output like decks, spreadsheets, and PRs from agents you already license, useAgent is the free path. Don't buy Temporal as a useAgent replacement or vice versa — the fit is fundamentally different.
Useagent vs Genspark
These are different bets, not two flavors of one product. If you want synthesis and content output without touching infrastructure — cited summaries, decks, sheets, podcasts — Genspark wins, especially with Gen-1 Slides and the open-source GenOffice suite landing in 2026. If your team already pays for Claude Code, Codex, or OpenCode and needs those agents to run on your own Linux boxes with work arriving in Slack and PRs, useAgent is the sharper fit and costs nothing in license fees. Pick Genspark for breadth and zero setup; pick useAgent for control, locality, and Slack-native agent operations.
Useagent vs Cryptohopper
These products do not compete. Cryptohopper is a paid SaaS that automates spot crypto trading across exchanges with Copy Bot, signals, and a marketplace of strategies — you configure it and it trades. useAgent is a free, open-source workbench that wraps Claude Code, Codex, OpenCode, and Pi with their own isolated Linux computer so engineering teams can run agent work that lands in Slack, GitHub, and OAuth-connected apps. A crypto trader buys Cryptohopper; a platform engineer adopting useAgent is solving a completely different problem. If you are choosing between them, the answer is that you likely need one and not the other.
Useagent vs Air Ai
These aren't competitors — picking between them isn't a decision anyone actually faces. Air is a defense readiness platform for commands and program offices, sold on a contact-us basis with vendor-led deployment; the value is in compressing materiel release and due-diligence timelines inside Army, DCMA, and Air Force workflows. useAgent is a free, open-source layer that gives Claude Code, Codex, OpenCode, and Pi their own cloud Linux workstation, aimed at engineers who already pay for those agents and are willing to run infrastructure. If you're a defense logistics buyer, evaluate Air. If you're an engineering team wanting agent runs to land as PRs and Slack artifacts, evaluate useAgent. There is no overlap budget to weigh.
Alternatives to useagent
View all
Ellipsis
Define cloud coding agents in environment.yaml, deploy them by merging a PR, and run Claude Code or Codex with scoped permissions and hard spend caps.
Zhipu GLM
Zhipu GLM delivers open-source LLM models, MaaS APIs, and autonomous agents for Chinese enterprises and developers.
Cosine Genie
Cosine Genie is a coding AI built on production code, with CLI, cloud, and air-gapped deployment for maintainable software.
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