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
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
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
- readme: https://github.com/winfunc/deepreasoning · fetched 2026-08-28 · 26be9eb4fb27
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| winfunc/deepreasoning | main | 31 |
For agents
markdown · JSON · MCP: product_card(name="winfunc/deepreasoning")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem