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Show HN: Open Bot – an open-source Grok Bot that works with any agent harness

CopilotKit released Open Bot, an open-source agent platform that runs on a user's own machine and lets any AG-UI agent operate a real browser, files, and tools through a governance gateway that decides and records every action. The alpha release includes Docker Compose setup, PostgreSQL storage, and three configurable coworkers (General Assistant, Knowledge, Risk Analyst), with support for agents built on LangGraph, Mastra, CrewAI, Pydantic AI, Google ADK, or hand-written. Open Bot requires a CopilotKit Intelligence license and a model key, and is available at copilotkit.ai/openbot.

read9 min views1 publishedAug 19, 2026
Show HN: Open Bot – an open-source Grok Bot that works with any agent harness
Image: Michielbdejong (auto-discovered)

AI coworkers you can hand real work to, and actually trust with the access. Each gets a computer of its own: a real browser with its own logins, its own files, and only the tools you grant. Every action decided before it happens and recorded after.

copilotkit.ai/openbot ·

·

Quick start·

Features·

Bring your own agent·

Architecture

Docs## demo-openbot.mp4

Bring any AG-UI agent, written on a framework or by hand, and it arrives as a coworker with a channel of its own. Watch it work on its own screen, take the wheel when it reaches something it should not do alone, then hand it back. It answers with components rather than only prose, and the whole thing runs on your own machine.

Alpha, and under active development.OpenBot is early. Expect rough edges and bugs, and expect things to move. Issues and pull requests are welcome.

Runs on your machine.Everything below is written for a laptop. Out of the box OpenBot runs withOPENBOT_DEV_NO_AUTH

, which skips signing in and admits every request as one administrator.[Google sign-in]can be wired up instead.

An agent platform that runs inside your own infrastructure. Docker Compose brings up every part of it, the data sits in your PostgreSQL, and the model is yours to choose: no model ships in the box, and an administrator supplies the credential, which is encrypted at rest and never logged.

Three coworkers ship in the example package, and they are configuration rather than code: General Assistant for everyday work, Knowledge for company questions, Risk Analyst for risk and compliance. Add your own by editing agents.yaml

or from /agents

in the UI.

Anything a Bot does to a computer, a file, an MCP server or a component goes through one gateway that decides and records it. That is the difference between an agent that can use your tools and an agent you can let near them.

More at copilotkit.ai/openbot.

A Bot is any endpoint speaking AG-UI, the open protocol for agent-to-user interaction, so OpenBot is not tied to a framework and neither are you. Agents built with LangGraph, Mastra, CrewAI, Pydantic AI, Google ADK or written by hand all arrive the same way, and the governance rides the protocol rather than the framework.

  • Docker, for PostgreSQL, browser computers, the supervisor, and the shipped Bots. Bun1.3+, for the app and API server.- A CopilotKit Intelligence project and license.

  • A model key. The proof-of-concept Bot uses OpenAI; the LangGraph Bot can use OpenAI, Anthropic, or Google.

Create

.env

:

cp .env.example .env

Get CopilotKit Intelligence credentials:

npx --yes copilotkit@latest login
npx --yes copilotkit@latest project select
npx --yes copilotkit@latest license --write

Put the

cpk-...

runtime key fromproject select

in.env

asINTELLIGENCE_API_KEY

.license --write

writesCOPILOTKIT_LICENSE_TOKEN

into the existing.env

. - Fill the remaining required values:

OPENAI_API_KEY

Keep the managed Intelligence URLs from

.env.example

unless you run Intelligence yourself. The exampleKEY_ENCRYPTION_KEY

is public and fine locally; generate your own with:

openssl rand -base64 32

Install and run:

bun install
bash scripts/start.sh

Open

http://localhost:3010.

scripts/start.sh

starts Docker services, applies migrations, starts the API server on port 3001, starts the app on port 3010, and checks that the services answer their own health routes before printing next steps.

  • Open /bot

and ask:Open news.ycombinator.com and tell me the top story.

. - Open /admin/boundaries

, add a deny rule or preset, and retry the same browser action. - Create a coworker from /agents

, give it a standing role, and start a channel with it.

Route Purpose
/
Start and browse channels.
/agents
Create, edit, duplicate, hide, delete, and launch coworkers.
/channel/:id
Converse with one coworker and view its live screen/profile panel.
/bot
Direct chat with a Bot; ?agent=<id> selects one.
/skills
Create and enable personal skills.
/settings
User preferences.
/admin/connectors
Configure deployment knowledge sources.
/admin/credentials
Store write-only encrypted credentials.
/admin/computers
View, stop, and reset Bot computers.
/admin/boundaries
Configure browser/file/MCP action policy.
/admin/components
Publish components and govern which Bots may use them.
/admin/playground
Draft and publish sandboxed components in the browser.
/admin/plugins
Configure MCP servers, MCP grants, and deployment skills.
/admin/audit
Review permitted, refused, and failed actions.

A computer per Bot: the supervisor gives each Bot its own container, its own/workspace

volume and its own browser profile. SetCOMPUTER_RUNTIME=runsc

to run them under gVisor where the host supports it.The gateway is the only way in: it resolves the target from a server-held snapshot, evaluates the policy, writes the audit row, and only then calls the computer. There is no path that acts without the record existing first.CEL policy, fail closed: rules can inspecttool.name

,intent

,bot.id

,actor.id

,page.url

,page.host

,element.*

,key

,file.*

andmcp.*

. Deny is evaluated before allow, a missing policy permits nothing, and a broken rule refuses rather than opens.Take the wheel: a Bot that hits a login wall or a 2FA prompt asks for help. Control is handed over in the same panel and recorded ascomputer.help_requested

,computer.control_taken

andcomputer.control_released

. While a person is driving, Bot actions are refused rather than queued.Secrets never enter the transcript: the trail records that a secret was requested and how long it was, not what it said.** Bring your own agent**: any AG-UI endpoint is a Bot, on a framework or hand written. Endpoints are validated with the same target checks used for browser navigation, and an auth header is stored write-only.Components instead of prose: compiled React components live inapp/src/components/gallery/

, sandboxed ones are authored in/admin/playground

and published with no deployment. Every call asks the server whether the component exists, is published, and is not withheld from that Bot. Data functions are granted per component.Governed MCP: a curated catalogue ships for Atlassian, Box, Slack, Salesforce and ServiceNow. Custom servers must pass URL checks, and any tool not positively classified as a read is treated as a write.Skills are instructions, not capabilities: personal skills attach only to Bots their author owns, deployment skills are admin-owned, and both are invoked with/

in the composer.An audit trail you can read:/admin/audit

lists what was permitted, what was refused and what failed, and every refusal carries the rule that caused it.Credentials encrypted at rest: stored through/admin/credentials

, never returned by an API, and redacted from audit events.Loopback by default: computers bind to127.0.0.1

and require a per-container token, so nothing reaches a logged-in browser by knowing its port.Durable threads and memory: conversations survive restarts through CopilotKit Intelligence, and each deployment stamps the threads it owns.

Any AG-UI endpoint can be a Bot.

From /agents

, create a coworker with:

  • name, title, and role description;
  • private or public visibility;
  • optional AG-UI endpoint;
  • optional write-only authorization header.

The server validates agent endpoints with the same target checks used for browser navigation. If no custom endpoint is set, product-created coworkers use MANAGED_AGENT_AG_UI_URL

.

Tenant package agents are declared in agents.yaml

as either:

built-in

, with a system prompt; orremote-ag-ui

, with an endpoint.

See docs/configuration.md and docs/coworkers.md.

.env.example

is the source template. The API server refuses to start without:

DATABASE_URL

KEY_ENCRYPTION_KEY

MANAGED_AGENT_AG_UI_URL

INTELLIGENCE_API_URL

INTELLIGENCE_GATEWAY_WS_URL

INTELLIGENCE_API_KEY

COPILOTKIT_LICENSE_TOKEN

Settings worth knowing:

Variable Use
OPENBOT_DEV_NO_AUTH
Admits every request as one administrator. How OpenBot runs today.
COMPUTER_TOKEN
Secret every Bot computer request must present. start.sh sets one.
SUPERVISOR_TOKEN
Secret the supervisor requires. start.sh sets one.
COMPUTER_SUPERVISOR_URL
Gives each Bot a computer of its own instead of one shared computer.
COMPUTER_RUNTIME
Set to runsc to run computers under gVisor, where the host has it.
AGENT_COMPUTER_POLICY
JSON action policy. Malformed JSON stops server startup.
AGENT_COMPUTER_ALLOW_PRIVATE_HOSTS
Lets a Bot reach this machine's own services.
TENANT_PACKAGE_DIR
Directory containing tenant YAML. Defaults to ../examples/fintech .
DEPLOYMENT_ID
Names this deployment when two share one Intelligence project.

Full reference: docs/configuration.md.

Service Port Purpose
app
3010 React/Vite UI.
server
3001 Hono API, CopilotKit runtime, auth, policy, audit, plugins, components, coworkers, and channels.
agent-computer
4100 Chromium plus /workspace and browser profile.
agent-bot
4200 Proof-of-concept AG-UI Bot.
agent-langgraph
4201 LangGraph AG-UI Bot.
supervisor
4500 host / 4300 container Creates and manages one computer per Bot.
PostgreSQL with pgvector 5432 Product data, policy, audit, credentials, grants, channels, knowledge, and component metadata.
CopilotKit Intelligence external Durable threads and memory.

The server gateway is the product/API path for Bot browser and file tool calls. It resolves the target, evaluates policy, writes an audit row, and then calls agent-computer

. The computer also exposes lower-level token-protected service endpoints; keep them private and do not use them to bypass the gateway.

More detail: docs/architecture.md.

OPENBOT_DEV_NO_AUTH

is the default because it needs no OAuth credentials and no consent screen. To sign in for real instead, create a Google OAuth client and set all four of these together:

BETTER_AUTH_URL=http://localhost:3001
BETTER_AUTH_SECRET=        # openssl rand -base64 32, at least 32 characters
GOOGLE_OAUTH_CLIENT_ID=
GOOGLE_OAUTH_CLIENT_SECRET=

Then set the two that decide who gets in and from where:

TRUSTED_ORIGINS

— where the app is served from,http://localhost:3010

locally. It defaults tohttp://localhost:3000

, which is not wherestart.sh

serves the app.INITIAL_ADMIN_EMAILS

— comma separated. An address listed here becomes an administrator the first time it signs in; everybody else becomes a user.

Remove OPENBOT_DEV_NO_AUTH

, then restart: the sign-in button is written into the app's generated config at startup, so it appears only once all four settings are present. Accounts, sessions and roles are stored in the same PostgreSQL database as everything else.

A partial set is refused rather than ignored: the server will not start with BETTER_AUTH_SECRET

or BETTER_AUTH_URL

but no client credentials, or with a secret shorter than 32 characters.

agent-computer

drives a browser holding real logins.docker-compose.yml

binds it to loopback; leave it there.- Store credentials through /admin/credentials

, which encrypts them. Do not put credential values in tenant YAML or in committed files. AGENT_COMPUTER_ALLOW_PRIVATE_HOSTS

lets a Bot reach services on this machine. Unset it if you would rather it could not.

bun run format:check
bun run lint
bun run typecheck
bun run test
bun run build

After changing the Drizzle schema:

bun run --filter server db:generate
bun run --filter server db:migrate

Use bash scripts/start.sh

for the whole stack. Use bun run dev

only when you want the app and server without the Docker Bots and computers.

copilotkit.ai/openbotdocs/README.mddocs/architecture.mddocs/configuration.mddocs/development.mddocs/coworkers.md

  • Open an issue or coordinate before starting substantial work.
  • Keep changes focused and update docs when setup, configuration, architecture, or user behavior changes.
  • Keep secrets, service-account JSON, customer data, and local transcripts out of the repository.
  • Run the checks in Developmentbefore opening a pull request.

MIT © CopilotKit

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