AGENA is an agentic AI platform that autonomously generates code, reviews quality, and creates pull requests. It runs a PM → Developer → Reviewer → Finalizer pipeline powered by pixel agent technology, turning your backlog into production-ready PRs in minutes.

Agentic AI refers to AI systems that can autonomously plan, execute, and adapt to achieve complex goals. Unlike simple AI assistants, agentic AI agents work independently through multi-step workflows — analyzing tasks, generating code, reviewing quality, and shipping features without constant human guidance.

Which platforms does AGENA integrate with?

AGENA integrates with GitHub and Azure DevOps for PR automation, Jira for task import, Slack and Microsoft Teams for ChatOps notifications, and supports OpenAI and Google Gemini as LLM providers.

Is AGENA free to use?

Yes! AGENA offers a free tier with 5 tasks per month, token usage tracking, and community support. The Pro plan ($49/month) includes unlimited tasks, priority worker throughput, team invites, and billing via Stripe or Iyzico.

Is AGENA open source?

Yes, AGENA is fully open source under the MIT license. You can self-host it or use the managed platform. The source code is available on GitHub at github.com/aozyildirim/Agena.

How does AGENA compare to GitHub Copilot?

While GitHub Copilot suggests code line by line within your IDE, AGENA is a full agentic AI platform that takes a complete task and autonomously generates production code, reviews it, and creates a pull request. AGENA handles the entire workflow from backlog to PR.

Can AGENA work with my existing CI/CD pipeline?

Yes. AGENA creates standard pull requests on GitHub or Azure DevOps. Your existing CI/CD pipeline, code review process, and branch protection rules all work as normal with AI-generated PRs.

What programming languages does AGENA support?

AGENA supports all programming languages that the underlying LLM models support, including Python, JavaScript, TypeScript, Java, Go, Rust, C#, PHP, Ruby, and more. The AI agents analyze your existing codebase to match patterns and conventions.

How secure is AGENA with my source code?

AGENA never stores your source code. Repository access is scoped via OAuth tokens, code is processed in isolated sessions, and you can self-host for complete control. All data is organization-scoped with full tenant isolation.

Pixel Agent Technology: How AGENA Orchestrates AI Workflows Visually

2026-03-256 min read

What is Pixel Agent Technology?

Pixel agent technology is AGENA's visual orchestration layer that brings autonomous AI agents to life. Instead of abstract logs and status codes, pixel agents provide a real-time visual representation of your AI workforce — each agent rendered as an interactive pixel character with distinct roles and states.

Why Visual Orchestration Matters

When you run multiple AI agents working on code generation, review, and deployment, visibility becomes critical. Teams need to know:

Which agents are active and what they're working on
Where bottlenecks occur in the pipeline
Real-time progress of each task through the autonomous workflow
Historical patterns in agent performance and task completion

Pixel agent technology solves this by providing an office-like visual environment where each AI agent is represented as a pixel character. You can see your PM agent analyzing requirements, your developer agent writing code, and your reviewer agent checking quality — all in real-time.

How Pixel Agents Work in AGENA

The Pixel Office

AGENA's dashboard features a pixel office view where agents are displayed as animated characters. Each character's state reflects the agent's current activity:

Seated at desk — Agent is actively processing a task
Walking — Agent is transitioning between pipeline stages
Idle — Agent is available for new tasks

Agent Roles as Visual Identities

Each pixel agent has a distinct visual identity matching their role:

PM Agent — Analyzes tasks and breaks down requirements
Developer Agent — Generates production code
Reviewer Agent — Reviews code quality and security
Finalizer Agent — Creates PRs and manages Git operations

Real-Time State Synchronization

The pixel agent layer is synchronized with AGENA's LangGraph state machine. As the AI pipeline progresses through stages (fetch_context → analyze → generate_code → review_code → finalize), the pixel agents visually reflect each transition.

Pixel Agent + Agentic AI = Observable Autonomy

The combination of agentic AI with pixel agent technology creates what we call observable autonomy — your AI agents work independently, but you always have full visibility into their progress and decision-making.

This is especially valuable for:

Engineering managers monitoring AI-assisted sprint velocity
Team leads tracking which tasks are being autonomously handled
Developers reviewing AI-generated PRs with full context of the agent's process

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