This repo contains the earliest version of the Integuru agent we released publicly. It shows the original approach: using browser network requests to generate runnable integration code for platforms without official APIs.

This is a starter template for LiveKit Agents that provides a simple voice interface using Agents UI components and LiveKit JavaScript SDK. It supports voice, transcriptions, and virtual avatars.

English | 中文 HomeRail is a TypeScript runtime that turns one-off agent chats into auditable, reusable workflows. The name comes from what it is: Home — it runs on your own homelab, NAS, or home server, serving the people who live there; Rail — the track shape of a DAG, where agent work flows node to node along explicit edges instead of pooling in a single chat.

MARVIS-Agent Tell MARVIS what risk decision you need. It turns local data into governed analysis, models, strategies, and audit-ready deliverables.

Kheish Persistent agent runtime and control plane for long-lived, tool-using AI workflows.   --- Kheish enforces one rule: Everything else in this README is a consequence of that single invariant.

Robust Go framework for building intelligent multi-agent AI systems The most productive way to build AI agents in Go. AgenticGoKit provides a unified, streaming-first API for creating intelligent agents with built-in workflow orchestration, tool integration, and memory management.

go-agent is a Go framework for building AI agents with pluggable LLM providers, memory, file context, guardrails, UTCP tool orchestration, and multi-agent coordination. Use it when you want agent runtime pieces that stay idiomatic in Go: For this repository: The module currently targets Go 1.25.10.

Solace Agent Mesh Open-source framework for building event driven multi-agent AI systems Star ⭐️ this repo to stay updated as we ship new features and improvements. Key Features • Quickstart • Next Steps • Docs --- Solace Agent Mesh is a framework that supports building AI applications where multiple specialized AI agents work together to solve complex problems.

) Docs · Playground · LandingAI The official Python library for the LandingAI Agentic Document Extraction (ADE) API. Parse PDFs and images into structured, grounded Markdown, then extract typed fields with a JSON Schema or Pydantic model.

A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.