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.

This monorepo contains a set of dev-friendly, framework agnostic components offering 3 main capabilities: Framework integration packages: The library offers a set of small, focused building blocks. Purpose: turn messy model output into typed PHP data.

Confines untrusted code using Landlock (filesystem + network + IPC), seccomp-bpf (syscall filtering), and seccomp user notification (resource limits, IP enforcement, /proc virtualization). Sandlock targets the gap: strict confinement without image builds or root privileges.

You can chat with this custom ChatGPT to figure out what's going on! The Autonomous AI Lab discord for the ACE Framework and HAAS Project is now open: https://discord.gg/mJKUYNm8qY This is first and foremost a high velocity hacking group.

This release resolves every open GitHub issue (#1, #2, #3, #4, #8, #9, #13): --- Fully automated YouTube channel management system. AI agents handle content strategy, scriptwriting, thumbnail generation, SEO, publishing, and analytics — end to end, on a daily schedule.

Towards Async, Omni-Modal RL at Scale, Just Relax. 📖 English | 📖 中文 Relax (Reinforcement Engine Leveraging Agentic X-modality) is a high-performance reinforcement learning post-training framework open-sourced by the Xiaohongshu AI Infra Team for multimodal large language models.

OpenHuman OpenHuman is your personal AI super intelligence: a brain that remembers everything, a fantastic orchestrator, a deep researcher. Discord • Reddit • X/Twitter • Docs • Follow @senamakel (Creator) 🇺🇸 English | 🇨🇳 简体中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇩🇪 Deutsch | 🇵🇰 اردو Download installers from tinyhumans.ai/openhuman or from the GitHub Releases page.

中文 | EN LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization.

DashClaw When your AI coding agent tries something destructive, DashClaw catches it before it runs and asks you first, even when you are not at the keyboard. What you get  ·  What it stops  ·  The loop  ·  What it is not  ·  Quick start  ·  Connect an agent An agent tries a destructive tool call.

Requires Python 3.10+ or Swarm focuses on making agent coordination and execution lightweight, highly controllable, and easily testable. It accomplishes this through two primitive abstractions: Agents and handoffs.

English | 简体中文 | 繁體中文 | Español | Français | Bahasa Indonesia | 日本語 | 한국어 | Русский | Tiếng Việt Discord · X · WeChat / Feishu 🐈 nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long-term memory, MCP integrations, model routing, multi-agent delegation, scheduled automation, and an OpenAI-compatible API in a small, readable core.