Enterprise-grade agent builder factory. A composable framework for building governed AI agents with structured tool access, memory, and orchestration patterns.
Every enterprise I've worked with hits the same wall with AI agents: teams spin up one-off agent implementations with inconsistent tool access, no governance, and no way to compose agents into larger workflows. Agent Universe is a factory pattern that solves this — define your agent's tools, memory, and guardrails declaratively, and the framework handles orchestration, lifecycle, and observability.
This started as a POC when I was designing the agentic maturity framework at Qualtrics, where we needed a standardized way to build agents that could progress from task-level to autonomous while maintaining enterprise governance.
- Factory pattern for agent construction — define agents declaratively, not imperatively
- Structured tool access with permission scoping
- Memory management across agent sessions
- Composable orchestration — chain agents into multi-step workflows
- Built-in governance — guardrails and audit trails for enterprise deployments
git clone https://github.com/gautamgb/agent-universe.git
cd agent-universe
pip install -r requirements.txt- Language: Python
- Framework: Modular, extensible agent architecture
MIT