rag.computer is an open-source, self-hostable RAG platform that facilitates document ingestion, embedding, and vector search through a straightforward REST API. It supports various document formats and offers capabilities for semantic, keyword, and hybrid search using advanced embedding providers.
OpenMuse is a personal agent framework that integrates a browser, terminal, and file management capabilities, designed to facilitate ongoing tasks and workflows. Built with CopilotKit and AG-UI, it supports various interactions, including task delegation and real-time browsing.
OpenBot is a local-first desktop application designed to run AI agents collaboratively on your computer. It supports various AI models, including Codex, Claude, and Grok, providing dedicated workspaces, task queues, file sharing, and agent-to-agent communication.
treg.to is an OpenRouter platform designed for agent tools that provides access to a curated catalog of over 3,700 endpoints across 99 providers. It enables users to perform various tasks such as SEO, data enrichment, social media analysis, and scraping without needing individual vendor accounts, allowing for a streamlined approach to accessing diverse data services.
Buzz is a hive mind communication platform designed for collaborative work between humans and AI agents. It enables users to manage workflows, triage bugs, and maintain an audit trail, all while providing a unified space for discussions, code patches, and approvals.
Executor is an open-source integration layer designed for AI agents, enabling them to connect with various APIs such as OpenAPI, MCP servers, and GraphQL in a secure environment. It allows for the configuration of integrations with authentication and per-tool policies, facilitating a unified catalog for any MCP-compatible agent.
Browser Harness is a self-healing framework that connects large language models (LLMs) directly to a real browser, enabling them to perform tasks with complete freedom. It utilizes a thin, editable Chrome DevTools Protocol (CDP) harness that allows the agent to adapt and improve its execution capabilities over time.