AgenticGoKitThe Go Framework for Building Multi-Agent AI Systems

Build intelligent agent workflows with dynamic tool integration, multi-provider LLM support, and enterprise-grade orchestration patterns.

Quick Start

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Go-Native Performance

Compiled binaries, efficient memory usage, and true parallel agent execution with goroutines.

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Multi-Agent Focus

Built specifically for agent orchestration with collaborative, sequential, and mixed patterns.

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Memory & RAG

Built-in vector databases (pgvector, Weaviate) and knowledge management capabilities.

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Tool Integration

MCP protocol support for dynamic tool discovery and external system integration.

⚙️

Configuration-Driven

TOML-based configuration with environment overrides and CLI scaffolding.

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Production Ready

Error handling, retry logic, monitoring hooks, and workflow visualization.

Why AgenticGoKit?

For Developers:

Type Safety: Compile-time error checking prevents runtime issues
Simple Deployment: Single binary, no complex Python environments
Native Concurrency: Goroutines for true parallel agent execution

For AI Systems:

Multi-Agent Focus: Built specifically for agent orchestration
Memory & RAG: Built-in vector databases and knowledge management
Tool Integration: MCP protocol for dynamic tool discovery
Production Ready: Error handling, monitoring, scaling patterns

What You Can Build

🔍 Research Assistants

Multi-agent research teams with web search, analysis, and synthesis capabilities.

💬 Conversational Systems

Chat agents with persistent memory and context understanding.

📊 Data Processing Pipelines

Sequential workflows with error handling and monitoring.

📚 Knowledge Bases

RAG-powered Q&A with document ingestion and vector search.