self-hosted-aiSelf-hosted AI — run your own LLM inference, image generation, speech-to-text, and embeddings. No cloud APIs, no SaaS subscriptions, no data leaving your net...
Install via ClawdBot CLI:
clawdbot install twinsgeeks/self-hosted-aiGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/geeks-accelerator/ollama-herdAudited Apr 17, 2026 · audit v1.0
Generated May 5, 2026
A hospital deploys self-hosted LLM and embeddings to analyze patient records and clinical notes without sending data to external cloud APIs. This ensures patient privacy under HIPAA while enabling real-time risk analysis and decision support.
A law firm uses self-hosted LLM to review contracts and legal documents, ensuring no confidential client data leaves their network. The firm trains staff to run queries locally via the OpenAI-compatible endpoint, reducing reliance on third-party services.
A bank deploys self-hosted transcription and LLM to monitor trader calls and emails for compliance violations, keeping all audio and text data on-premise. The system automatically flags potential insider trading or regulatory breaches.
A small media agency replaces DALL-E and ChatGPT subscriptions with self-hosted image generation and LLM, generating marketing copy and product mockups on their Mac Studio. They save $60+/month per client and maintain full control over intellectual property.
Offer subscription-based access to a pre-configured self-hosted AI appliance (e.g., Mac Studio with herd installed) for businesses that want on-premise AI without managing hardware. Include remote monitoring and updates as a service.
Provide consulting services to enterprises migrating from cloud APIs to self-hosted stacks, including installation, model selection, and training. Charge per project or hourly.
Create online courses and certification programs teaching IT teams how to deploy and maintain self-hosted AI fleets using the herd router. Target SMBs and mid-market companies.
💬 Integration Tip
Start by swapping the OpenAI base URL in your existing application to the self-hosted endpoint (http://localhost:11435/v1) and test with a single model like llama3.3 before expanding to full fleet routing.
Scored Apr 19, 2026
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
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