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winfunc/deepreasoning

A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models. observed · 2026-08-28

github.com/winfunc/deepreasoning · Rust · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

31/100

  • Activity 45
  • Release rhythm 8
  • Longevity 41
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 584
  • days_rel: 584
  • days_push: 330
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

5363 stars · 437 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DeepReasoning is a high-performance Rust-based LLM inference API and chat UI that combines DeepSeek R1's chain-of-thought reasoning traces with Anthropic Claude's creative and code generation capabilities in a single unified stream. It supports self-hosting and BYOK (bring your own key) usage, keeping API keys and data under user control.

Use cases

  • combine deepseek r1 reasoning with claude responses in one api
  • self-host an llm chat interface with my own api keys
  • get chain-of-thought reasoning traces followed by a claude answer
  • stream reasoning and final answers from two llm providers together
  • run a private chatgpt-style ui without sending data to third parties
  • improve claude's math and logic answers with r1-style reasoning

When to choose

  • you want R1's reasoning quality combined with Claude's coding and conversational strengths
  • you need a self-hosted, privacy-focused inference proxy with local key management
  • you want a single streaming API that merges two model providers' outputs
  • you prefer a high-performance Rust backend with a ready-made chat UI

When to avoid

  • you need fully local/offline inference since it depends on external DeepSeek and Anthropic APIs
  • you want a single-provider solution without multi-model orchestration
  • you require official vendor support or affiliation with Anthropic or DeepSeek
  • you need fine-tuning or model training capabilities

Facets

service · maturity active

llm-inference http-server api-framework chatbot rag large-language-models artificial-intelligence developer-tools rust self-hosted cross-platform deepseek-r1 anthropic-claude chain-of-thought reasoning byok chat-ui streaming ai-agents web-server

1 source

Member repositories

RepositoryRoleHealth v2
winfunc/deepreasoningmain31

For agents

markdown · JSON · MCP: product_card(name="winfunc/deepreasoning")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem