Openase is live · free · last verified 23 Oct 2026 · viability monitor
Openase
OpenASE is an open-source, issue-driven orchestrator that runs Claude Code, Codex, and Gemini CLI coding agents from GitHub ticket to
Ticket-as-unit-of-work is the right bet, and OpenASE is one of the few open-source options that actually ships it. The multi-machine Go binary means self-hosting without a Kubernetes side quest. Pick it if your team lives in GitHub and will own infrastructure; pass if you want managed SaaS or non-technical onboarding.
Verdict generatedVerified 7d ago · liveness 56/100 · cite: rightaichoice.com/tools/openase
- Engineering teams automating GitHub issue-to-PR workflows
- DevOps teams self-hosting AI agent infrastructure
- Technical founders building AI-native dev processes without SaaS lock-in
- Open-source maintainers wanting agents to pick up backlog tickets
- Teams that want a managed cloud service rather than self-hosted infrastructure
- Organizations needing project management, reporting, or mobile apps beyond engineering
- Non-technical users without the coding or DevOps skill to run a self-hosted stack
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Skip OpenASE if you want a vendor to host, run, and update your coding agents for you, or if your team isn't comfortable self-hosting services and managing agent credentials on your own machines.
You supply the compute and machines the agents run on, so multi-machine execution means provisioning and paying for that hardware or cloud capacity yourself.
Only one tier is documented in the scraped material: an Open Source (Community) plan at $0/mo covering the self-hosted Go binary, multi-agent orchestration, the Kanban board, the Skill System, and GitHub Actions integration. Because OpenASE itself is free and self-hosted, the real cost comparison isn't against paid orchestrators — it's against the agent CLIs you connect and the infrastructure you run them on.
In short
Openase — OpenASE is an open-source, issue-driven orchestrator that runs Claude Code, Codex, and Gemini CLI coding agents from GitHub ticket to. Best for Engineering teams automating GitHub issue-to-PR workflows, DevOps teams self-hosting AI agent infrastructure, Technical founders building AI-native dev processes without SaaS lock-in. Free to use.
What is Openase?
Openase — OpenASE is an open-source, issue-driven orchestrator that runs Claude Code, Codex, and Gemini CLI coding agents from GitHub ticket to. Best for Engineering teams automating GitHub issue-to-PR workflows, DevOps teams self-hosting AI agent infrastructure, Technical founders building AI-native dev processes without SaaS lock-in. Free to use.
OpenASE is Pacific Studio's open-source orchestration layer that turns an issue board into the control surface for AI coding agents. Instead of prompting a chatbot, you create a ticket, assign Claude Code, Codex, or Gemini CLI, and watch work move through Backlog, In Progress, Review, and Done while a pull request opens against your repo. The vendor's own board shows the pattern in the wild: ASE-08 "Implement OAuth2 login flow" executing under Claude Code, ASE-11 generating integration tests under Codex, and ASE-03's CI/CD pipeline already Done. The premise is lifecycle coverage. Pacific Studio frames design, development, testing, deployment, and operations as stages of a single platform rather than five stitched-together tools, with agents handling each phase. A Skill Editor lets you live-edit reusable expertise so agents follow your conventions, and CI/CD wires through GitHub Actions to keep the process legible to humans. Deployment is deliberately plain: a single Go binary, self-hosted, spread across multiple machines. Human-in-the-loop review sits at the pull request, and security workflows run as tickets — the demo backlog includes a security audit on payment endpoints under Claude Code. Ticket-level status tracking (Running, Launching, Ready) keeps traceability from creation through deployment. OpenASE comes from Pacific Studio alongside VeriFormal (offline formal verification for C, Java, Dafny, and Rust) and KeyLight (interactive PDF research reading, in beta). Against GitHub Copilot Workspace, OpenASE pushes deeper into autonomous multi-agent execution and full-cycle orchestration, at the cost of real DevOps comfort.
Key features
- Issue-driven orchestration across the full SDLC
- Multi-agent coding with Claude Code, Codex, and Gemini CLI
- Kanban issue board with Backlog, In Progress, Review, and Done stages
- Backlog management with per-ticket AI agent assignment
- Skill System with live editing of reusable agent expertise
- Lifecycle stages covering design, develop, test, deploy, and operate
- Self-hosted deployment as a single Go binary
- Multi-machine agent execution
- Human-in-the-loop review through pull requests
- CI/CD pipeline integration via GitHub Actions
- Security auditing workflow run as tickets
- Ticket-level agent status tracking (Running, Launching, Ready)
- Traceability from ticket creation through deployment
- Open-source codebase
- GitHub-native workflow
Behind the verdict
The interesting thing about OpenASE isn't that it runs coding agents — plenty of tools do that now. It's where the agents live. Putting them on a Kanban board next to Backlog, In Progress, Review, and Done makes agent work legible to the rest of the team, and it gives you a natural place for human review: the pull request. We'd reach for this when a backlog exists and nobody has time to grind through it. When to pick it: your team is GitHub-native, you're comfortable running a Go binary on your own machines, and you want agents picking up tickets rather than answering prompts. The Skill Editor matters more than it sounds — if your codebase has conventions an off-the-shelf agent keeps missing, editing reusable expertise once beats re-prompting every task. When to pass: if you want a managed service, mobile access, or full project-management reporting beyond engineering, this isn't it. Self-hosting is the price of admission, and it's a real one — someone on your team needs to run and maintain the stack. Multi-agent execution also means multi-agent cost and multi-agent failure modes; treat ticket assignment as a budget decision, not a free action. The closest alternative is GitHub Copilot Workspace, which offers a lighter issue-to-PR flow inside an existing subscription without standing up infrastructure. Choose that if you want less autonomy and less ops. Choose OpenASE if you want the full lifecycle — design through operate — and agents doing the boring tickets in parallel across machines. A different answer entirely is VeriFormal, Pacific Studio's own correctness prover, if proofs rather than velocity are your bottleneck; the two are complementary, not competing.
Models under the hood
as of 2026-10-22
Limitations
- OpenASE is open source and self-hosted as a single Go binary, so operating it requires developer-level setup and ongoing maintenance of machines, agent credentials, and upgrades.
- Agent orchestration is tied to the coding agents Pacific Studio names — Claude Code, Codex, and Gemini CLI — so the depth of automation depends on what those CLIs support.
- The vendor's site is explicit that formal verification is a separate product (VeriFormal, with proof coverage across C, Java, Dafny, and Rust), not an OpenASE capability, and that KeyLight is a separate beta research-reading tool.
- Nothing on the scraped site describes a managed hosted option, reporting suite, or non-engineering user experience.
as of 2026-10-02
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Is Openase still active?
Openase is live · free · last verified 23 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Openase? 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 Openase?
What people actually say about Openase — is it worth it?
Our community sentiment research written Jul 24, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Openase— 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 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Openase 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 SSL certificate
- — changed who should skip it, our verdict, features, description, summary, pricing tiers, who it suits
- — changed SSL certificate
- — changed summary, hidden costs, limitations, switching out, description, switching in, who it suits, setup time, who should skip it, use cases, pricing fit, our verdict, features
- — changed SSL certificate
- — changed our verdict, description, features, summary, who should skip it, who it suits, pricing tiers
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Openase cost in 2026?
Openase: Free to use. Pricing last verified 23 Oct 2026.
Plans compared
Every published Openase 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 |
|---|---|---|---|
| Open Source (Community) | Free | — | Engineering teams and open-source maintainers who will self-host the Go binary and want issue-driven agent orchestration without a managed SaaS dependency.Adds: Starting tier and the only documented plan: $0/mo covering the self-hosted binary, multi-agent orchestration across Claude Code/Codex/Gemini CLI, the Kanban board, the Skill System, PR-based review, and GitHub Actions integration. |
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 Openase's pricing actually pencils out — and where peers do it cheaper.
Only one tier is documented in the scraped material: an Open Source (Community) plan at $0/mo covering the self-hosted Go binary, multi-agent orchestration, the Kanban board, the Skill System, and GitHub Actions integration. Because OpenASE itself is free and self-hosted, the real cost comparison isn't against paid orchestrators — it's against the agent CLIs you connect and the infrastructure you run them on.
Has Openase's pricing changed?
No plan price for Openase has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Openase?
Pick Openase if you are Engineering teams automating GitHub issue-to-PR workflows, DevOps teams self-hosting AI agent infrastructure, Technical founders building AI-native dev processes without SaaS lock-in, Open-source maintainers wanting agents to pick up backlog tickets.
Look elsewhere if you are Teams that want a managed cloud service rather than self-hosted infrastructure, Organizations needing project management, reporting, or mobile apps beyond engineering, Non-technical users without the coding or DevOps skill to run a self-hosted stack, Anyone unwilling to accept multi-agent execution costs and failure modes.
Skip it if Skip OpenASE if you want a vendor to host, run, and update your coding agents for you, or if your team isn't comfortable self-hosting services and managing agent credentials on your own machines.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Openase actually fits — and what changes day-one when you adopt it.
Triages the backlog on Monday, assigns Claude Code to the OAuth2 login ticket and Codex to an integration-test ticket, and lets both run across two self-hosted machines.
Outcome: Pull requests land against the repo, the lead reviews at the PR like any other contributor, and ticket status moves from In Progress to Review to Done on the board.
Points OpenASE at the project's GitHub issue queue, writes Skills encoding the project's style and test conventions, and lets agents pick up well-specified backlog tickets.
Outcome: Backlog drains without the maintainer writing boilerplate, and every contribution still arrives as a reviewable PR with a ticket trail behind it.
Sets up the single Go binary, wires GitHub Actions as the CI/CD path, and adds a standing security-audit ticket for payment endpoints run by Claude Code.
Outcome: Agent output goes through the same pipeline as human code, and the audit trail runs on a schedule rather than at release-crunch time.
Use cases
- Assign a Claude Code agent to an OAuth2 login ticket and get a pull request with middleware and route guards
- Run Codex on an integration-test ticket for your auth module
- Keep a prioritized backlog and hand agents the next ticket automatically
- Wire CI/CD through GitHub Actions so agent output passes the same pipeline as human code
- Run a security audit ticket against payment endpoints before release
- Refactor database connection pooling through a review-stage agent
- Define domain-specific coding standards as editable Skills so agents follow your conventions
- Self-host agent execution across multiple machines without a managed SaaS dependency
Setup time & first value
How long it actually takes to get something useful out of Openase — broken out by persona, not the marketing-page minute.
Self-hosting the Go binary on a machine you control is an afternoon for a developer comfortable with Go services and GitHub tokens. Adding GitHub Actions wiring and encoding your team's conventions as Skills is where the real setup time goes — budget days, not hours, before agents are producing PRs you'd actually merge.
Switching to or from Openase
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual GitHub backlogs: point OpenASE at your existing issue queue and assign agents to tickets already written, so no rework on the backlog itself.
- →From ad-hoc agent chats: move recurring prompts into the Skill System so they run as ticket work instead of one-off conversations.
- →From GitHub Copilot Workspace: keep the GitHub issue-to-PR habit and add multi-agent and multi-machine execution on top.
- ↗To GitHub Copilot Workspace: if managed issue-to-PR without self-hosted infrastructure is the priority, the GitHub-native flow needs no Go binary.
- ↗To a managed coding-agent service: if running machines becomes the bottleneck, a hosted agent platform removes the ops burden at the cost of handing over source access.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Openase”, and we withheld 6: 6 could not be judged, because “Openase” 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 Openase.
Official links
What are the best Openase alternatives?
The closest alternatives to Openase we list are Wesight, Replicas and Pane. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Wesight | Free | Free | — |
| Replicas | Freemium | Pricing not published | — |
| Pane | Free | Free | — |
Alternatives to Openase
View all
Tools that pair well with Openase
Common stack mates teams adopt alongside Openase, with the specific reason each pairing earns its keep.
Wesight
WeSight is an open-source desktop workspace that runs Claude Code, Codex and other CLI coding agents side by side.
Replicas
Replicas runs Claude Code, Codex, Cursor, and OpenCode coding agents in isolated cloud VMs and hands back pull requests.
Pane
Pane is a free, open-source agent manager that runs Claude Code, Codex, Cursor and any CLI coding agent in parallel git worktrees.
Openase vs its closest rival
Openase's closest head-to-head is with Locus Robotics — These tools serve completely different domains — Openase for AI-augmented software development, Locus Robotics for physical warehouse automation. Choose Openase if you need a free, self-hosted platform to orchestrate AI agents across the SDLC; choose Locus Robotics if you operate a high-volume fulfillment center seeking 2-3x productivity gains through autonomous mobile robots. No direct competition exists. Verdict generated
Head-to-head comparisons
Openase vs Locus Robotics
These tools serve completely different domains — Openase for AI-augmented software development, Locus Robotics for physical warehouse automation. Choose Openase if you need a free, self-hosted platform to orchestrate AI agents across the SDLC; choose Locus Robotics if you operate a high-volume fulfillment center seeking 2-3x productivity gains through autonomous mobile robots. No direct competition exists.
GeneratedOpenase vs Presto Voice
OpenASE and Presto Voice serve completely different domains: OpenASE is a free, open-source AI platform for automating software development workflows, while Presto Voice is a commercial voice AI solution for QSR drive-thrus. Your choice depends solely on whether you need development automation or restaurant ordering automation — they are not competitors.
GeneratedOpenase vs Truleo
These tools serve entirely different domains—Truleo for law enforcement intelligence, Openase for software engineering automation. Choose Truleo if you're a police department needing to surface leads from siloed data; choose Openase if you're a dev team wanting open-source ticket-driven AI across the SDLC. No overlap exists.
GeneratedFrequently asked questions
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