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jonwiggins

optio

Workflow orchestration for AI agent swarms.

InfrastructureOrchestrationObservabilityTypeScript
Open on GitHub
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+2stars in 24 hours+0.2%
1.07k
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121
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This week
11
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Created 2026-03-19 · Updated 2026-10-16 · #3982 today
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jonwigginsbarrydobsonarenstar

jonwiggins/optio is ranked 3,982 with 1,066 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageTypeScript
CategoryInfrastructure
SubcategoryOrchestration, Observability
KeywordsAgent-ready APIs, Automation, Client integration, DevOps
Stars1,066
Forks121
Contributors11
Created date2026-03-19
Updated date2026-10-16
Stars in 1 day2
Stars in 7 days4
Rank3,982
Previous rank6,049
Rank change2,067
7-day stars rank6,245
Previous 7-day stars rank7,114
7-day stars rank change869
Total stars rank10,621
Previous total stars rank10,621
Total stars rank change0
CountryUSA
README summary

Self-hosted orchestration for coding agents, automated workflows, and interactive sessions. Product tour · Get started · Documentation · Releases _Know what is running, what is ready, and what needs you. All screenshots use fictional demonstration data; activity and usage are simulated. _ Optio gives your agents a shared workspace. Hand off a code change, schedule a report, respond to an event, or keep a terminal open while you move between your desk and your phone. Start and follow all of it from one

**Work** feed. Pick the runtime for each piece of work, with the models and providers it supports. | | **Dependency updates and daily briefings** | A cron schedule | Run saved instructions on a schedule, with a separate history for each run. | | **Incidents and failed deployments** | PagerDuty, Datadog, Alertmanager, Sentry, a failed CI run, or a webhook | Turn event payloads into prompt parameters; investigate with the tools and credentials you assign. | | **Engineering questions and support escalations** | Slack or Pylon | Research the request, prepare an

answer, and leave the next decision to a person when your instructions call for it. | | **Work in your own checkout** | A manual session or an event | Run an agent or terminal on a paired machine with its existing CLI login. | | **A team of specialists** | Messages, schedules, or events | Give persistent agents their own instructions and inboxes. Coordinate them through the inter-agent API. | | **Routine shell checks** | Manual, schedule, or another trigger | Run a command without an LLM; track its output

and exit status. | | **A session with a teammate** | An expiring share link | Let an authenticated organization member view and control the session; revoke access when finished. | The fourteen trigger types are **manual, schedule, webhook, ticket, GitHub, GitLab, Slack, Linear, Jira, Pylon, PagerDuty, Sentry, Alertmanager (Prometheus / Grafana), and Datadog**. Persistent agents can also wake on messages. GitHub, GitLab, and AWS CodeCommit are supported repository platforms; available CI and issue features depend on the platform. _Repo work, jobs, local automations, and persistent

agents share the same feed. | | **Where** | A pod in your cluster, with or without a repo, or a directory on your machine. | | **Who** | An agent runtime with its parameters, or a terminal. | | **What** | A prompt, a reusable template with , or a shell command. | | **Then** | Exit when done, wait for you, or stay available as a persistent agent. | The form derives the right kind of work from these choices and reads it back as a sentence. _Choose a trigger, then shape

the environment: pod or machine, repository and branch, ownership, connections and MCP tools, skills, setup commands, and PR review settings. Follow the repo's defaults or customize this piece of work. _ Stay close to your sessions Read the agent’s conversation or use its terminal. Open a shell in the same directory with **Terminal here**, split sessions side by side, and drag the session sidebar to the width you want. Pane arrangements stay on the current device. Session sharing requires organization

sign-in and grants **view and control**. Collaborators gain access to the session’s environment and capabilities, including credentials available

Frequently asked questions

How many stars and forks are recorded?

jonwiggins/optio has 1,066 stars and 121 forks.

What is the repository rank?

jonwiggins/optio is ranked 3,982.

What language and category are recorded?

jonwiggins/optio has 1,066 stars, uses TypeScript and belongs to Infrastructure.

Which repository is closest in rank?

jonwiggins/optio is compared with mybigday/llama.rn, ranked 3,985 with 1,059 stars.

README

Optio

All your agent work. One place to run it.

Self-hosted orchestration for coding agents, automated workflows, and interactive sessions.
On your Kubernetes cluster. On your own machines. In your pocket.

Product tour · Get started · Documentation · Releases

Know what is running, what is ready, and what needs you. All screenshots use fictional demonstration data; activity and usage are simulated.

Optio gives your agents a shared workspace. Hand off a code change, schedule a report, respond to an event, or keep a terminal open while you move between your desk and your phone. Start and follow all of it from one Work feed.

Choose Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, Cursor, OpenCode, or OpenClaw—or run a plain shell command. Pick the runtime for each piece of work, with the models and providers it supports.

What can you do with Optio?

Put an agent to work on… Start it with… What happens
An issue → a pull request A prompt, ticket, GitHub event, or Linear event Work in a repo worktree, open a PR, follow CI and review, and resume with feedback. Merge automatically when configured.
Dependency updates and daily briefings A cron schedule Run saved instructions on a schedule, with a separate history for each run.
Incidents and failed deployments PagerDuty, Datadog, Alertmanager, Sentry, a failed CI run, or a webhook Turn event payloads into prompt parameters; investigate with the tools and credentials you assign.
Engineering questions and support escalations Slack or Pylon Research the request, prepare an answer, and leave the next decision to a person when your instructions call for it.
Work in your own checkout A manual session or an event Run an agent or terminal on a paired machine with its existing CLI login.
A team of specialists Messages, schedules, or events Give persistent agents their own instructions and inboxes. Coordinate them through the inter-agent API.
Routine shell checks Manual, schedule, or another trigger Run a command without an LLM; track its output and exit status.
A session with a teammate An expiring share link Let an authenticated organization member view and control the session; revoke access when finished.

The fourteen trigger types are manual, schedule, webhook, ticket, GitHub, GitLab, Slack, Linear, Jira, Pylon, PagerDuty, Sentry, Alertmanager (Prometheus / Grafana), and Datadog. Persistent agents can also wake on messages. GitHub, GitLab, and AWS CodeCommit are supported repository platforms; available CI and issue features depend on the platform.

Repo work, jobs, local automations, and persistent agents share the same feed.

Five answers describe the work

Your choice
When Start now, on a schedule, from a ticket or event, or when a message arrives.
Where A pod in your cluster, with or without a repo, or a directory on your machine.
Who An agent runtime with its parameters, or a terminal.
What A prompt, a reusable template with {{params}}, or a shell command.
Then Exit when done, wait for you, or stay available as a persistent agent.

The form derives the right kind of work from these choices and reads it back as a sentence. Edit recurring work in the same form.

Choose a trigger, then shape the environment: pod or machine, repository and branch, ownership, connections and MCP tools, skills, setup commands, and PR review settings. Follow the repo's defaults or customize this piece of work.

Stay close to your sessions

Read the agent’s conversation or use its terminal. Open a shell in the same directory with Terminal here, split sessions side by side, and drag the session sidebar to the width you want. Pane arrangements stay on the current device.

Session sharing requires organization sign-in and grants view and control. Links expire and can be revoked. Collaborators gain access to the session’s environment and capabilities, including credentials available there. Sharing and recovery details →

Native apps, wherever you are

Optio has a SwiftUI iOS app and a Jetpack Compose Android app. Check the queue, create work, read conversations, control terminals, and manage your workspace from your phone.

   

iOS: home-screen and Lock Screen widgets, Live Activities, Dynamic Island, and a mirrored Live Activity in the Apple Watch Smart Stack. Android: home-screen widgets, notifications, and an ongoing watch notification. Contextual actions take you back to the work that needs you.

Native Apple component captures with sample states. Watch support is provided by the iPhone Live Activity; there is no separate Watch app.

Build iOS · Build Android · More screenshots

Your infrastructure, your choices

  • Cluster and laptop execution. Repository work uses worktrees in Kubernetes; Optio Local pairs your machines through an outbound connection and uses their CLI configuration.
  • Connections and tools. Combine encrypted credentials, MCP servers, shell environment, and usage notes. Assign access by repo and runtime, with per-work settings. Connections →
  • Explicit ownership and isolation. Execution pools include workspace, owner, purpose, and access settings. Work inside the same pool remains mutually trusted; ordinary pods are not a boundary for hostile tenants. Security review →
  • Recovery with visible status. Sessions report reconnecting, resumable, or lost states. Preserve recoverable work and require an explicit decision before retrying an uncertain outcome. Recovery →
  • Managed Kubernetes deployment. Helm supports managed PostgreSQL and Redis, existing Kubernetes Secrets for database, Redis, encryption, and OAuth settings, and separate worker identities. The combined API/web deployment currently requires one replica; worker pods scale independently. EKS and production guide →
  • Identity and access. Workspaces, admin/member/viewer roles, OAuth/OIDC sign-in, personal access tokens, and encrypted secrets at rest. Sign-in →

Optio is the orchestration layer you host. Agents still communicate with the model providers and external tools you configure; self-hosting Optio does not make those services local.

Get started

For a local deployment, install Docker Desktop and enable Kubernetes, then:

git clone https://github.com/jonwiggins/optio.git
cd optio
./scripts/setup-local.sh

Open http://localhost:30310 and complete setup. The API listens at http://localhost:30400. The setup script builds the project and deploys it to local Kubernetes; see the installation guide for prerequisites and other deployment options.

For production, use the Helm chart and managed deployment guide. Agent providers and infrastructure may have their own costs.

Want a workspace to explore? Seed the example catalog. It adds clearly labeled, paused examples without running agents, contacting integrations, or replacing existing work.

Explore further

Guide What it covers
Work and tasks Repo tasks, jobs, recurring definitions, and lifecycle
Optio Local Pair machines, terminals, automations, and transcripts
Persistent agents Inboxes, turn loops, agent messaging, and pod lifecycle
Example agent teams Forge and Mars Mission Control
Connections Credentials, MCP tools, environment, and skills
Configuration as code Keep workspace configuration in a repository
Reconciliation How the control plane follows work and recovers
Redis Standalone or cluster mode, ElastiCache Serverless
Contributing Architecture, development setup, and tests

Built with TypeScript, Next.js, Fastify, PostgreSQL, Redis/BullMQ, and Kubernetes, with native Swift and Kotlin clients. See CLAUDE.md for repository conventions and the test matrix.

MIT licensed.

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