# ErlichLiu/DeepClaude

Unleash Next-Level AI! 🚀  💻 Code Generation: DeepSeek r1 + Claude 3.7 Sonnet - Unparalleled Performance! 📝 Content Creation: DeepSeek r1 + Gemini 2.5 Pro - Superior Quality! 🔌 OpenAI-Compatible. 🌊 Streaming & Non-Streaming Support.  ✨ Experience the Future of AI – Today! Click to Try Now! ✨

Repository: https://github.com/ErlichLiu/DeepClaude
Canonical: https://ross.abutalabs.com/products/deepclaude
Homepage: https://erlich.fun/deepclaude-pricing
Language: Python
License: MIT
License Family: permissive
Topics: ai, gemini, claude-3-7-sonnet, deepseek
Last push: 2026-02-23T03:14:49+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 69, release rhythm 35, longevity 41
- inputs: {"age_days": 578, "days_push": 191, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2936, forks 494 (observed 2026-08-28T04:07:30.860411+00:00)

## What it is
DeepClaude is a self-hostable service that chains DeepSeek R1's reasoning output with Claude Sonnet or Gemini models to produce a combined response, exposed through an OpenAI-compatible API. It supports streaming and non-streaming responses, a graphical configuration UI, Docker deployment, and providers like OpenRouter and OneAPI.

## Use cases
- combine deepseek r1 reasoning with claude sonnet for code generation
- use deepseek r1 with gemini for content creation
- expose an openai-compatible endpoint backed by multiple model providers
- self-host a hybrid reasoning model api with docker
- use deepclaude models in cherry studio or dify
- route claude requests through openrouter or oneapi

## When to choose
- you want the deepseek r1 + claude or gemini hybrid pipeline behind a single OpenAI-compatible API
- you need a self-hosted proxy with a web config UI and Docker deployment
- your client tools only speak the OpenAI API format but you want multi-model chaining

## When to avoid
- you need a single-model API gateway or full multi-model router rather than a fixed reasoning-plus-output chain
- you require accurate token usage accounting, which is not yet implemented
- you want a managed hosted service without self-hosting

## Facets
- artifact type: service
- maturity: active
- function: llm-inference, api-framework, http-server, chatbot, rag
- domain: large-language-models, artificial-intelligence, apis, self-hosted
- platform: python, self-hosted, cross-platform
- tags: openai-compatible-api, model-chaining, deepseek-r1, claude-sonnet, gemini, reasoning-models, streaming, api-proxy, docker, web-server

## Member repositories
- ErlichLiu/DeepClaude (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.860411+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:47:38.313679+00:00, confidence not recorded.
  - readme: https://github.com/ErlichLiu/DeepClaude (fetched 2026-08-28T04:07:30.860411+00:00, sha 45f84a9754a0)
  - homepage: https://erlich.fun/deepclaude-pricing (fetched 2026-08-29T09:48:24.764078+00:00, sha 743ab7952b6d)
- Data as of 2026-08-30T08:39:29.467469+00:00.