Today we’re announcing Forge — the AI-powered multi-agent development platform by Simple Container.
Most AI coding tools give you a single chat window. One model trying to do everything: analyze requirements, design architecture, write code, test it, and review it. That’s not how real engineering teams work.
Forge takes a different approach. It runs a pipeline of five specialized AI agents, each purpose-built for its role:
The Five-Agent Pipeline
PM Agent — Receives the GitHub issue, analyzes requirements, and creates a clear development plan with acceptance criteria.
Architect Agent — Takes the plan and designs the technical solution: component structure, API contracts, data models, and integration points.
Developer Agent — Implements the solution following the architecture. Writes clean, tested code with proper error handling.
QA Agent — Runs the test suite, validates edge cases, checks for security issues, and ensures the implementation matches the requirements.
Code Reviewer — Reviews the final output against coding standards, best practices, and the original requirements.
How It Works
The workflow is intentionally simple:
- Label any GitHub issue with
forge-pipeline - Forge’s webhook picks it up and starts the pipeline
- Each agent hands off to the next with full context preservation
- Comments on the active issue are routed to the current agent
- The pipeline produces a reviewable pull request with a full audit trail
What’s Different
- Deterministic orchestration: Through our LLMOS runtime, Forge provides deterministic control over AI workflows. Event-sourced state machines ensure reproducible outputs.
- Multi-provider routing: Smart load balancing across Anthropic, OpenAI, Google, Azure, and Bedrock with automatic failover.
- Cloud and local: Run locally with forge-cli for rapid iteration, or deploy the runtime on any machine — VMs, Kubernetes, GitHub Actions, or your own servers — with bidirectional sync.
We’re building Forge in the open. Read the Workflow Engine and Multi-Agent Pipeline pages, or browse the source on GitHub .