Onyx
Onyx is an open source AI platform that integrates seamlessly with your company's documents, applications, and personnel, enhancing productivity across various teams. It enables users to find answers across all team applications, and AI assistants powered by your organization's unique knowledge, accessible directly within your workflow. Developers can build custom workflows using open-source APIs, facilitating the creation of AI applications tailored to specific needs. Onyx connects to over 40 applications, including Asana, Google Drive, Slack, and Zendesk, ensuring real-time synchronization with document-level access. The platform supports deployment in various environments, such as fully air-gapped setups within your Virtual Private Cloud (VPC) or on-premise, ensuring data security by preventing information from leaving your deployment. Document-level permissions are automatically inherited from connected sources.
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Lucy
Lucy's AI-powered knowledge management makes it easy to find what you need to know when you need to know it. She reads and learns all of your organization's accumulated knowledge from the places it lives. She reads and understands written reports, PPTs, PDFs, graphs, videos, and audios. She connects to third-party data sources for their insights. Lucy's integration with Slack and Microsoft Teams makes it easy for members of your team to ask questions that can be answered from your accumulated knowledge. Ask her what you are looking for, and she will help you find the answer, and she identifies other possible answers if you need a different level of insight. Lucy will read and absorb every piece of information you want her to when she joins your team. Lucy never leaves, never forgets, and is gets smarter every day.
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ModelLane
ModelLane is an AI inference gateway and routing control plane for developers and organizations using multiple language-model providers. It offers an OpenAI-compatible API for sending requests to hosted, private, or self-hosted models. Teams can define routing policies (“Lanes”) by cost, latency, availability, data retention, and region, with provider failover, retries, credential isolation, and route-level usage and spend visibility. Documented connectors include OpenAI, Anthropic, Google, Mistral, Groq, and DeepSeek, plus local serving tools such as Ollama and vLLM. An MCP interface exposes model-layer operations. Use cases include consolidating provider APIs, choosing routes for different workloads, maintaining continuity when a provider is unavailable, and monitoring inference activity. Deployment options include hosted service, dedicated deployment, and a customer VPC.
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Open WebUI
Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with a built-in inference engine for Retrieval Augmented Generation (RAG), making it a powerful AI deployment solution. Key features include effortless setup via Docker or Kubernetes, seamless integration with OpenAI-compatible APIs, granular permissions and user groups for enhanced security, responsive design across devices, and full Markdown and LaTeX support for enriched interactions. Additionally, Open WebUI offers a Progressive Web App (PWA) for mobile devices, providing offline access and a native app-like experience. The platform also includes a Model Builder, allowing users to create custom models from base Ollama models directly within the interface. With over 156,000 users, Open WebUI is a versatile solution for deploying and managing AI models in a secure, offline environment.
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