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tRPC-Agent-Go

tRPC-Agent-Go is a Go agent framework for building intelligent AI applications.

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About this tool

tRPC-Agent-Go is a Go-based agent framework designed to help developers build intelligent AI applications. It provides memory management, knowledge base integration, vector storage, and more, supporting various databases and vector databases such as SQLite, MySQL, PostgreSQL, pgvector, ChromaDB, etc. The framework also integrates mem0 for agent memory and offers design and evaluation guidelines for long-running agents.

Use cases
  • Build AI agents with memory capabilities
  • Integrate knowledge bases to enhance agent capabilities
  • Manage context for long-running agents
  • Evaluate and optimize agent performance

Features & use cases

Memory management (In-Memory, SQLite, SQLiteVec, Redis, MySQL, PostgreSQL, pgvector, ChromaDB, mem0 Integration, TencentDB)Knowledge base integration (Embedder, Reranker, Query Enhancer, Source Code RAG, Filter, Extractor, Management, OCR)Vector store support (In-Memory, PGVector, TcVector, Elasticsearch, Qdrant, Milvus)Context managementDesign and evaluation for long-running agents

Resources

Prompt TemplatetRPC-Agent-Go Evolution: Online Learning, Offline Optimization, and Evaluation for Self-Improving AgentsA Complete Guide to AI Agent Automated Evaluation Paradigms and Engineering PracticeA Complete Guide to Automated Prompt Iteration and Engineering Practice for AI Agents

Sources

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