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.

What is pixel agent technology?

Pixel agent technology is AGENA's visual orchestration layer that represents each AI agent as an interactive pixel character. It provides real-time visibility into your autonomous AI workforce — showing which agents are active, what they're working on, and the progress of each task through the pipeline.

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.

Use Cases

What Can You Build with Agentic AI?

AGENA's pixel agent technology powers autonomous development workflows for teams of all sizes.

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Autonomous Code Generation

From task description to production code

AGENA's agentic AI pipeline takes a task from your backlog and autonomously generates production-grade code. The developer agent analyzes your codebase, follows existing patterns, and produces clean, reviewable code.

✓Reduce time from task to PR by 10x

✓Consistent code quality across all generated PRs

✓Automatic adherence to codebase conventions

✓Full context awareness via vector memory

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AI-Powered Pull Request Automation

Branch, commit, and PR creation on autopilot

Stop manually creating branches and writing PR descriptions. AGENA's finalizer agent automatically creates feature branches, makes clean commits, and opens pull requests with full task context on GitHub or Azure DevOps.

✓Zero manual Git operations for AI-generated code

✓PR descriptions include full task context and changes

✓Automatic branch naming following your conventions

✓GitHub and Azure DevOps integration

🏃

Sprint Acceleration

Complete more tasks per sprint with AI agents

Augment your development team with agentic AI. AGENA handles routine development tasks autonomously while your engineers focus on complex architecture and business logic.

✓AI handles routine tasks, humans handle complexity

✓Real-time sprint velocity tracking

✓Pixel agent dashboard shows AI workforce status

✓Task-level cost and token tracking

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Automated Code Review

AI reviewer agent catches issues before humans

AGENA's reviewer agent independently reviews all generated code for bugs, security vulnerabilities, and best practices before creating the PR.

✓Catch bugs before human review

✓Security vulnerability scanning

✓Best practice compliance checking

✓Reduced review burden on senior engineers

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Context-Aware Development with Vector Memory

AI agents learn from your past tasks

AGENA's Qdrant-powered vector memory stores context from previously completed tasks. When a new task arrives, AI agents automatically retrieve similar past solutions, enabling smarter code generation.

✓AI improves with every completed task

✓Similar past solutions inform new code generation

✓Organization-scoped memory isolation

✓Reduced hallucination through grounded context

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ChatOps Integration

Manage AI agents from Slack and Teams

Trigger AI agent tasks, receive real-time progress updates, and review generated PRs directly from Slack or Microsoft Teams.

✓Trigger tasks from Slack or Teams

✓Real-time notifications on task progress

✓Review AI-generated PRs without leaving chat

✓Team-wide visibility into AI agent activity

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Multi-Repo Orchestration

One task, multiple repositories, parallel PRs

Assign a single task to multiple repositories simultaneously. AGENA runs independent AI agent pipelines for each repo, generating separate branches and pull requests in parallel. Ideal for cross-cutting changes that span backend, frontend, and shared libraries.

✓One task creates PRs across multiple repos

✓Each repo gets its own full agent pipeline

✓Parallel execution for maximum speed

✓Per-repo progress tracking on the dashboard

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Task Dependencies

Chain tasks with automatic execution order

Define which tasks must complete before others can start. The worker checks dependencies before executing — blocked tasks wait automatically. When a blocker completes, dependent tasks auto-queue and start without manual intervention.

✓Set dependencies at creation time or update them later

✓Auto-queue: dependent tasks start when all blockers complete

✓Cycle detection prevents circular dependency chains

✓Visual dependency flow shows the full execution pipeline

Ready to automate your development workflow?

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