How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
AI agents in Go — Temporal for durable, crash-resilient execution or run in-process with zero setup. OpenAI, Anthropic, Gemini, tools, MCP, A2A, RAG, conversations, AG-UI, streaming, sub-agents & human-in-the-loop.
The main features of agenticenv/agent-sdk-go are: AI & Machine Learning.
Projects with overlapping indexed features include: 78/xiaozhi-esp32 — Xiaozhi-esp32 is an open-source firmware platform designed for building voice-interactive embedded systems on… 7df-lab/devo — Open coding agent, provider agnositc. aaif-goose/goose — Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development… aannoo/hcom — Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI,… acrotron/aye-chat — Aye Chat: AI-powered terminal workspace. 0xmassi/webclaw — Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST…
Xiaozhi-esp32 is an open-source firmware platform designed for building voice-interactive embedded systems on resource-constrained microcontrollers. It functions as an IoT conversational device platform that manages live audio input, speech synthesis, and conversational state transitions to facilitate real-time natural language interaction. The system distinguishes itself by bridging language models with physical hardware through standardized protocols, allowing for the execution of commands on local peripherals or remote smart home services. It utilizes a specialized architecture to coordina
Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development workflows. It functions as an orchestration engine that can install, execute, and test code, as well as manage local files and shell commands. The platform is model-agnostic, providing a flexible interface to connect with diverse cloud-based or self-hosted large language model providers. It distinguishes itself through a standardized context protocol for integrating external tools and extensions, and a recipe system that allows users to define and repeat complex, multi-step AI w
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.
