An AI Agent framework in Go for building Agents with RAG, Knowledge, Memory, Tools
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Updated
May 16, 2025 - Go
An AI Agent framework in Go for building Agents with RAG, Knowledge, Memory, Tools
Guardrails for LLMs: detect and block hallucinated tool calls to improve safety and reliability.
A unified Go client library for multiple AI providers (OpenAI, Anthropic, Google, AWS Bedrock, etc.) with streaming, tool calling, structured output, and multimodal support. Features type-safe interfaces, cost tracking, and MCP integration.
[WIP] Reflexion Agent: A Go implementation of an advanced AI-powered tool-calling agent using Temporal workflows and instructor-ai. Demonstrates self-reflection and iterative improvement in AI responses.
A registry and proxy server for agentic tool-calling
🧠 Build a flexible, production-ready memory system for AI agents, offering session-only, persistent, or hybrid deployment modes for optimal data handling.
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