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Tools💻 Code & DevelopmentOpenase
Openase

Openase

Free

Open-source ticket-driven AI engineering for the full SDLC

By Tanmay Verma, Founder · Last verified 05 Jul 2026

0 views
Added 7d ago
69/100Monitor
Visit Website

In short

Openase — Open-source ticket-driven AI engineering for the full SDLC. Best for Engineering teams automating development workflows, Open-source contributors seeking AI-driven CI/CD pipelines, DevOps teams integrating AI agents into existing infrastructure. Free to use.

Compared withvs Locus Roboticsvs Truleovs Presto Voice

Is Openase actually worth it?

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See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.

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Editorial Verdict

Best for
Engineering teams automating development workflowsOpen-source contributors seeking AI-driven CI/CD pipelinesDevOps teams integrating AI agents into existing infrastructureTechnical founders building AI-native development processes
Not ideal for
Non-technical users without coding expertiseTeams requiring proprietary cloud-only SaaS solutionsOrganizations needing comprehensive project management beyond engineeringProjects demanding polished UI, mobile apps, or advanced reporting

OpenASE is a solid open-source option for teams wanting AI-driven SDLC automation. Its ticket-driven orchestration across multiple AI models (Claude Code, Codex, Gemini CLI) and live-editable Skill System set it apart from simpler code-gen tools. However, it requires self-hosting technical expertise, and documentation is sparse. If you need a polished SaaS or comprehensive docs, consider alternatives like GitLab Duo or GitHub Copilot Workspace. Best for early-adopter engineering teams comfortable with self-hosted infrastructure.

Skip Openase if Skip OpenASE if you need a polished SaaS with minimal setup, comprehensive documentation, or a large ecosystem of integrations—this is a self-hosted tool for technical teams.

Compare with: Openase vs Poolside AI, Openase vs Marvin, Openase vs Zhipu GLM

Last verified: July 2026

Viability Score

69/100
Monitor

How likely is Openase to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Ticket-driven automation: create a ticket, AI agent executes workflow
  • Multi-agent orchestration: supports Claude Code, Codex, Gemini CLI
  • Kanban board for drag-and-drop ticket management with real-time status
  • Skill System: live-editable reusable packages with files and instructions
  • Full SDLC coverage: design, develop, test, deploy, operate
  • Self-hosted: Go single binary, open source
  • Multi-agent coding across multiple AI models
  • Human-in-the-loop review via pull requests
  • Traceability: every step tracked from ticket to deployment
  • Backlog management with AI agent assignment
  • CI/CD integration via GitHub Actions
  • Security auditing capabilities
  • Issue-driven orchestration: agents claim work and execute
  • Real-time board updates: drag tickets between columns

About Openase

FreeAdvancedNo APIWeb · CLI

OpenASE, by Pacific Studio, is an open-source platform that automates the entire software development lifecycle using AI agents. Teams create tickets, assign agents, and watch the full cycle—from design through deployment—happen automatically. It supports multi-agent coding across Claude Code, Codex, and Gemini CLI, orchestrated via a Kanban board for real-time tracking. The Skill System lets you live-edit reusable expertise packages, giving agents domain-specific instructions. Built in Go as a single binary, OpenASE is self-hosted and ideal for teams accelerating development with AI without sacrificing control.

Behind the Verdict

OpenASE addresses a real need: automating the entire software development lifecycle through AI agents. Its ticket-driven workflow means you create a ticket, assign an agent, and it handles design, coding, testing, deployment, and operations—all tracked on a Kanban board. The multi-agent support (Claude Code, Codex, Gemini CLI) gives flexibility. The Skill System is a standout: you can live-edit reusable packages with files and instructions, shaping agent behavior for your domain. Being open-source and self-hosted (Go single binary) gives you full control and data privacy. However, setup is not trivial; you need technical skills to deploy and maintain. The documentation is minimal, and the UI is basic—no mobile app, no polished reporting. Integrations are currently limited to GitHub and GitHub Actions. For teams that value control and are willing to invest in setup, OpenASE is promising. For teams needing a turnkey solution, look elsewhere.

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Real-world workflow fit

Concrete scenarios for the personas Openase actually fits — and what changes day-one when you adopt it.

Engineering lead

Create a ticket 'Add OAuth2 login' on the Kanban board, assign it to a Claude Code agent, and watch as it generates 327 lines of code, opens a pull request, and passes review.

Outcome: Feature delivered in hours instead of days with full traceability.

DevOps engineer

Set up a CI/CD pipeline via GitHub Actions integrated with OpenASE; create a ticket to deploy a microservice, and the agent handles testing and deployment automatically.

Outcome: Automated deployments with zero manual intervention, reducing release cycles.

Security auditor

Create a security audit ticket on the board, assign a Claude Code agent with a security skill, and it scans endpoints for vulnerabilities and generates a report.

Outcome: Automated security reviews that catch issues before production.

Use Cases

  • Automate feature development from ticket to pull request using Claude Code
  • Set up AI-driven CI/CD pipelines with GitHub Actions orchestrated by OpenASE
  • Define domain-specific coding standards via the Skill system for consistent code
  • Manage software backlog and assign AI agents to tasks like API rate limiting
  • Conduct security audits on endpoints with AI agent workflows
  • Refactor database connection pooling via a review agent
  • Generate integration tests for auth modules using Codex

Models Under the Hood

Claude CodeCodexGemini CLI

as of 2026-07-05

Limitations

  • Currently lacks comprehensive documentation and tutorials for setup.
  • The platform is open source and self-hosted, requiring technical expertise for deployment.
  • The number of available skills and integrations is limited, and the no-code interface is minimal.

as of 2026-07-05

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Openase tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Open Source (Community)

$0/mo

Ideal for

Engineering teams comfortable with self-hosting who want full control over their AI development pipeline without per-seat costs.

What this tier adds

Starting point: free and open-source with full features, self-hosted on your infrastructure.

Integrations

GitHubGitHub Actions

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Self-hosting requires your own infrastructure (cloud or on-prem) and ongoing maintenance, which can add significant cost if you’re not already set up.

Where the pricing makes sense

The company stage and team size where Openase's pricing actually pencils out — and where peers do it cheaper.

OpenASE is free and open-source, making it ideal for cost-conscious teams that can self-host. Unlike proprietary platforms like GitLab Duo ($19/user/month) or GitHub Copilot ($10/user/month), you pay only for your infrastructure. Best for teams that value control over convenience.

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.

For a team with Go experience and existing infrastructure, you can have OpenASE running in under an hour by downloading the single binary and configuring GitHub integration. Adding skills and fine-tuning workflows may take a day.

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.

Migrating in
  • →From manual ticket-based workflows: Create tickets in OpenASE and link them to your GitHub issues to start automating development tasks.
Migrating out
  • ↗To GitLab Duo: Export your tickets as markdown issues and import into GitLab; you'll lose the Kanban board state.

Resources & Guides

  • Resourcepacificstudio.ai

    Home · Openase

    Helpful link from pacificstudio.ai

Frequently Asked Questions

Tools that pair well with Openase

Common stack mates teams adopt alongside Openase, with the specific reason each pairing earns its keep.

Poolside AI

Poolside AI

Enterprise open-weight foundation models and agents for high-consequence software engineering.

Marvin

Marvin

Open-source Python framework to build LLM apps with decorators.

Zhipu GLM

Zhipu GLM

Chinese LLM platform for enterprise agents, MaaS, and open-source models

Featured Head-to-Head Comparisons

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Zhipu GLM

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Details

Pricing
Free
Skill Level
Advanced
Platforms
Web, CLI
API Available
No
Content updated
5d ago
Pricing & overview verified
5d ago

Categories

💻 Code & Development🤖 Automation & Agents

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Topics

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