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tRPC-Agent-Go

tRPC-Agent-Go is a framework for building intelligent AI applications and long-running agents in Go, with context management, memory, RAG, and multi-agent collaboration.

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About this tool

tRPC-Agent-Go targets AI engineers, agent builders, and Go developers, enabling the creation of intelligent AI applications and long-running agents. It includes an LLM abstraction layer, context management, memory, RAG integration, and multi-agent collaboration. Agents can be embedded in graphs as nodes, supporting tool-calling loops, conditional edges, and structured output. The framework also provides agent evaluation and prompt iteration support, including benchmarking tools.

Best for
  • AI engineers building intelligent agent applications
  • Go developers needing to integrate LLMs and tools
  • Scenarios requiring long-running agents and memory management
  • Multi-agent collaboration and graph orchestration needs
Use cases
  • Building long-running AI agents
  • Integrating RAG and memory into agent applications
  • Multi-agent collaboration and graph orchestration
  • Agent evaluation and prompt iteration
Strengths
  • Provides an LLM abstraction layer, simplifying model integration
  • Supports memory and RAG, enhancing agent context
  • Multi-agent collaboration and graph embedding capabilities
  • Includes agent evaluation and benchmarking tools
Limitations
  • Pricing model is undisclosed
  • Requires a Go development environment
  • Specific usage limits and free-tier information are not disclosed

Features & use cases

LLM abstraction layerContext managementMemory serviceRAG integrationMulti-agent collaborationAgent embedding in graph nodesTool-calling loopStructured outputAgent evaluation tools

Resources

A Complete Guide to AI Agent Automated Evaluation Paradigms and Engineering PracticetRPC-Agent-Go Evolution: Online Learning, Offline Optimization, and Evaluation for Self-Improving AgentsA Complete Guide to Automated Prompt Iteration and Engineering Practice for AI AgentsPrompt Template

Sources

Every profile keeps its sources and latest verification date.
01https://trpc-group.github.io/trpc-agent-go/blog/multiagent-boundaries

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