Integrations
Works with DeepSeek Harness

Use DeepSeek Harness with OpenLLM

Add the OpenLLM bundle to a DeepSeek Harness profile and route it through your local gateway, fallback chains included.

$dsh plugin --profile web add github:openllmsh/dsh

How it works

The bundle is a Cordis patch that points the harness at your daemon's local gateway. It is added from the harness side, per profile.

  • Add it to the web profile for the browser UI, or headless for CLI-only
  • Restart the profile after adding the bundle

Fallback chains when a model is rate-limited

Define an ordered chain per model alias. When a hop returns a rate limit, an overload or a provider error, the request moves to the next hop instead of failing your session.

  • Chains are configured once and shared by every client and device
  • Each hop resolves its own model settings, so a fallback never inherits the wrong parameters
  • Every hop that ran is visible in your request history

Code search and memory over MCP

The same binary ships one MCP server: semantic search over your indexed repositories and documentation, plus memory that persists across sessions and clients.

See where the tokens go

Requests, tokens, latency and API-equivalent cost per model and provider, with charts you can export or share.

Provider keys encrypted at rest

API keys are encrypted in your browser with AES-256-GCM under a key derived from your recovery phrase, and stored as ciphertext. They are decrypted in memory only while a request is being served, then discarded. Subscription credentials never reach the hosted service.

Questions

Something else? Contact us