huggingface.co
AI-powered email management using Qwen and Model Context Protocol (MCP).
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github.com
Gobii is an open-source platform for deploying and managing browser-use agents at scale with a conversational interface and API.
gocodeo.com
GoCodeo is an AI coding agent that integrates with IDEs to generate code and tests. Its sources describe framework support, MCP-based tool integration, Supabase integration and Vercel deployment, and automated test generation.
adk.dev
Google Agent Development Kit (ADK) is an open toolkit for building powerful multi-agent systems and production-grade agents. It supports multiple programming languages including Python, JavaScript, Go, Java, and Kotlin, and offers features such as graph workflows, multi-agent collaboration, and integration with various AI models including Gemini, Claude, and OpenAI.
goose-docs.ai
goose is an open source AI agent that runs on the user's machine. It is available as a desktop app for macOS, Linux and Windows, a CLI, and an API built in Rust. The agent is general-purpose, covering code, workflows, research, writing and automation. It connects to 70+ extensions via the Model Context Protocol and works with 15+ LLM providers, including API keys or existing subscriptions.
github.com
Specify what you want it to build, the AI asks for clarification, and then builds it.
github.com
GPT Pilot is an open-source project hosted on the Pythagora-io GitHub repository, described as the first real AI developer. Unlike tools that only generate code, GPT Pilot builds full applications, and the repository includes a security notice for users.
github.com
GPT Prompt Engineer is an open-source tool hosted on the mshumer GitHub repository. It includes versions optimized for different language models such as Claude 3 Opus and a Claude 3 Opus to Haiku conversion version, and offers features for prompt engineering tasks.
app.tavily.com
Generate & monitor API keys, track usage, and manage Extract/Crawl end-points – all in one place.
github.com
GPT Researcher is an open deep research agent for web and local research. Its sources describe planner and execution agents that break tasks into research questions, with findings aggregated into cited research reports.
gumloop.com
Gumloop is described as a multiplayer AI agent builder that lets people at a company build agents with various AI models and integrations while IT controls access. The site describes building, sharing, optimizing and controlling agents, and lists a Pro plan starting at $37 per month plus custom enterprise pricing.
github.com
A scalable general purpose micro-framework for defining dataflows.
github.com
Harbor is a CLI and companion app that starts a pre-wired local LLM stack. Users pick services such as Ollama, llama.cpp, vLLM, Open WebUI, SearXNG, Speaches and ComfyUI, and Harbor handles Docker Compose orchestration, configuration and cross-service connectivity with a single harbor up command.
github.com
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. It provides modular pipelines and agent workflows with explicit control over retrieval, routing, memory and generation, and is intended for RAG systems, multimodal applications, semantic search, question answering and autonomous agents. Installation is available via pip.
github.com
hcom is a tool that enables AI agents to message, monitor, and spawn one another across terminal environments. It is compatible with a range of common AI agent CLIs including Claude Code, Codex, Antigravity CLI, Cursor CLI, OpenCode, Kilo, Pi, and Kimi. It is available as a public GitHub repository.
huggingface.co
Main interface and application logic are orchestrated within src/components/interface.py.
helloandy.net
helloandy.net AI Tools is a platform operated by Andy, an autonomous AI agent built on the Claude model and running 24/7 on dedicated infrastructure. The agent builds and deploys search APIs, simulation tools, and AI infrastructure, including offerings such as ContextWire, Systems Modeler, and more than 14 free tools, alongside 60+ published articles and access to 1,078 models.
hermes-agent.nousresearch.com
Hermes Agent is an open-source, self-hosted AI agent by Nous Research. It is available as a terminal app and as Hermes Desktop for macOS, Windows and Linux, with persistent memory and a messaging gateway for platforms such as Telegram, Discord, Slack, WhatsApp, Signal and email. It is free under the MIT license.
github.com
A native web workspace for Hermes Agent, providing chat, terminal, memory, skills and inspector in one interface. The repository describes it as a command center for orchestrating agents, browsing memory, managing skills and controlling them from one interface, with swarm mode for persistent workers and an orchestrator. It is released under the MIT license.
hexabot.ai
Hexabot is a self-hostable AI workflow automation platform. It is used to build AI agents and workflows that interact across channels, using MCP tools, memory and data control. Projects can be started locally with the official CLI, and the platform is source-available under the FCL-1.0-ALv2 licence.
github.com
Hindsight is an agent memory system from Vectorize, intended to help agents learn over time rather than only recall conversation history. It is published under the MIT licence and can be run via Docker, working with multiple LLM providers.
github.com
Hive is an open-source runtime for colonies of AI agents that do business work. A queen agent learns a task, then hands parallel work to worker agents whose results land in a shared tracker that can be queried, audited and resumed. The project describes itself as a multi-agent harness for production AI.
hlido.eu
Hlido is a technology consulting and implementation practice in Prague working across the EU and with India. It advises on strategy and technology, develops and delivers projects from ideation to production, and provides post-production support. Cybersecurity is delivered with channel partner IrisInfosec, and automation with AutomationEdge.
freecodecamp.org
A freeCodeCamp handbook for developers on organizing AI agents for real business cases. It covers prerequisites, large language models, definitions of AI agents, and a decision algorithm for creating optimal agents, including checking budget, starting with one agent, and measuring performance. It uses a Google Research, Google DeepMind, and MIT paper as its primary source and code examples in a Google Colab notebook.