Agent infrastructure / Jan 2026 - Mar 2026
A2A Multi-Agent Builder
Platform for creating, versioning, and orchestrating multi-agent AI systems dynamically instead of hardcoding workflows.
A2A / TypeScript / MongoDB Atlas / Prompt Versioning / Agent Orchestration
A2A Multi-Agent Builder
Highlights
- Designed an agent factory that assembles specialized teams at runtime.
- Supported parallel and sequential execution with structured response aggregation.
- Used MongoDB Atlas for prompts, agent configs, routing logic, shared context, execution logs, versioning, and rollback.
Problem
Hardcoded agent workflows make it difficult to create, adjust, version, and roll back specialized multi-agent teams.
What I built
- An agent factory that assembles specialized teams at runtime.
- Parallel and sequential execution modes with structured response aggregation.
- MongoDB Atlas storage for prompts, agent configs, routing logic, shared context, execution logs, versioning, and rollback.
Technical focus
The project centered on dynamic agent configuration, prompt versioning, shared context, and execution observability.