What is OpenHuman?
OpenHuman is an open-source personal AI framework for private, on-premise deployments and local model execution.It includes an agent framework, prompt management, and integrations with local model providers such as LM Studio.
Built-in speech support offers local STT and TTS via Whisper and Piper, with optional ElevenLabs voice selection and configurable mascot voice.Deployment options include Docker, one-click cloud deployment, and reproducible developer environments (Codespaces).
Developer tooling covers GitHub Actions integration, workspace automation, examples, and native OS notifications for end-to-end workflows.Documentation and contributor guides support setup, customization, and extension for developers, research teams, and engineering groups focused on privacy and local inference.
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OpenHuman's key features
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On-premise deployments with local model execution
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Agent framework and prompt management with integrations to local model providers (e.g., LM Studio)
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Built-in local STT and TTS (Whisper, Piper) with optional ElevenLabs voice selection and configurable mascot voice
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Multiple deployment options: Docker, one-click cloud deployment, and reproducible developer environments (Codespaces)
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Developer tooling including GitHub Actions integration, workspace automation, examples, and native OS notifications
OpenHuman use cases
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Deploy a private on‑premises AI assistant for your organization that performs local model inference and secure voice interactions (Whisper/Piper), using the agent framework and one‑click Docker deployment so sensitive data never leaves your infrastructure
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Build a customizable developer automation agent to streamline internal workflows—code generation, CI/CD orchestration, and documentation updates—leveraging prompt management, developer tooling, and local model execution to iterate safely without external APIs
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Create an offline-capable personal knowledge base with private QA and multilingual voice interfaces, combining prompt management, local speech synthesis/recognition, and integrations to provide secure, searchable, and voice-enabled access to sensitive documents
Who is it for?
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Developers
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Machine learning engineers
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Voice developers
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Open-source contributors
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Researchers
