🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
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Latest capture 2026-10-16 03:16
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Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, chatbots and more
LLM agents done right, no over-engeneering and redundant complexity
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
Framework retired. Prompts and document generators moved to AgentDock/prompt-library, the book to AgentDock/ai-agents-book. See the pinned issue.
