Key points at a glance
- Local inference: models run on your own machine, no external API key needed.
- Turn off real-world sync and the whole system makes no outbound requests.
- Conversations and models both stay on your local disk — the strongest privacy posture.
How to connect
First run Ollama on your machine or LAN and pull a model, then in Enclave's model settings choose Ollama / local-compatible endpoint and enter Ollama's address (default http://localhost:11434). After saving, set the local model as the default or assign it per character.
Who it's for
Users who want maximum privacy, fully offline operation, or no API fees. With MIT open source and one-line docker compose self-hosting, Enclave can be a private world that depends on no cloud at all.
Key facts
- Integration
- Point to a local Ollama endpoint
- Billing
- Local inference, no API fees
- Offline
- Runs fully offline
- Data flow
- Conversations and models never leave your local disk
Ready to try it?
Open it in your browser — no credit card, no install.
Related
Connect other models
- Connect OpenAI (GPT-series) models in Enclave
- Connect Anthropic Claude models in Enclave
- Connect Google Gemini models in Enclave
- Connect DeepSeek models in Enclave
- Connect self-hosted vLLM inference in Enclave
- Use Mistral AI models in Enclave
- Use Groq in Enclave (ultra-low-latency inference)
- Use Together AI in Enclave (cloud-hosted open models)
- Use OpenRouter in Enclave (one key, many models)
- Use self-hosted Hugging Face TGI in Enclave