AI use cases Local AI A private AI chat for your team
A private AI chat for your team
Host your own ChatGPT-style interface over local or API models so your team keeps control of data and access. Workflow and ranked tools.
- Tools compared
- 3
- Open source
- 1of 3
- Reviewed
- 16 Oct
- 1OllamaAI tool73Caution
- 2LobeHubAI tool69Caution
- 3Open WebUIAI tool68Caution
What the score and shapes mean
Score = public maintenance, adoption and docs signals, as a percentile of 52 tools. Nobody here tested these hands-on. Shapes are the separate safety label: No issues found, No dependencies scanned, Caution.
What it does for you
Teams that want AI access without individual consumer accounts and with control over data.
- Offer a chat UI to staff on your own server
- Connect local models and hosted APIs side by side
- Manage users and roles
- Share prompt templates and agents
- Add document chat for internal files
More about this job
Self-hosted chat interfaces give your team one place to talk to several models, with accounts, shared prompts and optional document upload, while you decide where data is stored.
Workflow in 5 steps
- Decide which models and what data may be used.
- Deploy the chat UI behind your login or single sign-on.
- Create roles and disable features you do not need.
- Write a short usage policy and share it with the team.
- Monitor usage and costs, update regularly and back up the database.
Full steps
- Decide which models (local or API) and what data may be used.
- Deploy the chat UI behind your login or single sign-on.
- Create roles and disable features you do not need.
- Write a short usage policy and share it with the team.
- Monitor usage and costs, update regularly and back up the database.
Prompts to copy
Starting points we wrote, not tested results.
Draft a short acceptable-use note for our AI chat: what staff may paste in, what they may not, and who to ask.
2 more prompts
Write a system prompt for a support-team assistant: tone, what to refuse, and when to hand over to a person.
Summarise this meeting transcript into decisions, owners and deadlines.
Watch out for
- Prompts sent to a hosted model leave your machine.
- Keep API keys, tokens and customer data out of prompts and out of files the agent can read.
- Agent loops can burn through paid API tokens quickly.
- Self-hosting makes you responsible for updates and security.
- Licence to check before commercial use: LobeHub (LobeHub Community License), Open WebUI (Open WebUI License).
- CautionOllama2 critical-severity known vulnerabilities in runtime dependencies (OSV)
- CautionLobeHub3 critical-severity known vulnerabilities in runtime dependencies (OSV)
- CautionOpen WebUI13 critical-severity known vulnerabilities in runtime dependencies (OSV)
Why these warnings?
- Prompts sent to a hosted model leave your machine. For confidential material use a local model or check the provider's data terms first.
- Keep API keys, tokens and customer data out of prompts and out of files the agent can read. Use a separate, low-privilege key for any agent.
- Agent loops can burn through paid API tokens quickly. Set spending limits with your model provider and watch the first few runs.
- Self-hosting makes you responsible for updates and security. Keep it patched and do not expose it to the internet without authentication.
- Ollama: 2 critical-severity known vulnerabilities in runtime dependencies (OSV)
- LobeHub: 3 critical-severity known vulnerabilities in runtime dependencies (OSV)
- Open WebUI: 13 critical-severity known vulnerabilities in runtime dependencies (OSV)
Recommended tools
From our ranked data, highest score first. A high score does not mean a clean scan.
- 73OllamaAI tool · MIT · #2 overall
- 69LobeHubAI tool · LobeHub Community License · #7 overall
- 68Open WebUIAI tool · Open WebUI License · #8 overall
Related jobs
Sources for tool facts
ollama/ollama · lobehub/lobehub · open-webui/open-webui · Open WebUI documentation. Data fetched 2 Nov 2026. Scores and labels are automated, relative and not a hands-on test.
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