Overview
tRPC-Agent-Go is a Go-based framework designed for building production-grade intelligent agent systems. It exposes modular components such as agents, runners, graphs, memory, and tools, enabling chain, parallel, and graph workflows. The framework facilitates deep integration between LLMs and external services, databases, and search, while providing production features like telemetry and tracing.
Key Features
- Multi-agent orchestration (Chain, Parallel, Graph) and robust runner implementations
- Rich tool integration to wrap functions and services as callable tools
- Persistent memory and knowledge retrieval supporting RAG scenarios
- Enterprise observability with OpenTelemetry tracing and metrics
- Extensive examples covering local demos to production deployment
Use Cases
Suitable for customer support bots, data analysis assistants, DevOps automation, business process automation, and scenarios that require combining LLMs with external systems and tools. The framework is particularly well-suited for environments with strict performance and observability requirements.
Technical Highlights
Implemented in Go for low-latency, high-concurrency workloads. The modular architecture supports multiple model providers, MCP integration, sandboxed tool execution patterns, and secure code-execution examples. Comprehensive docs and examples help accelerate engineering adoption.