- Developers & Engineers: Gain robust reasoning for analysis and polished code output in one tool.
- Teams & Enterprises: Use dual-model workflows securely, on-premises or managed, with end-to-end encryption.
- Open-Source Enthusiasts: Customize the fully open-source Rust codebase (MIT license) for coding assistants, chatbots, or RAG systems.
- Researchers & Analysts: Compare reasoning vs creativity through side-by-side model outputs.
- Educators & Students: Learn how multimodal reasoning pipelines work in practice.
How to Use DeepClaude?
- Load the Platform: Clone the GitHub repo or use self-hosted options; manage keys for DeepSeek and Anthropic Claude.
- Install Dependencies: Requires Rust 1.75+, plus your own DeepSeek API key and Claude key.
- Run Locally or Deploy: `cargo build --release` → configure `config.toml` → launch Rust streaming API.
- Use Chat API: Send requests to `https://api.deepclaude.com/v1` with headers `X-DeepSeek-API-Token` and `X-Anthropic-API-Token`.
- Deploy to Vercel/Cloudflare or integrate via your framework of choice.
- Dual-Stage Reasoning Pipeline: R1 provides detailed CoT analysis, then Claude refines and generates final output—"combine both models to provide… R1's exceptional reasoning… Claude's superior code generation and creativity."
- Zero-Latency Streaming API: Built in Rust, it streams model outputs seamlessly without delay.
- BYOK & Security: End-to-end encryption and local API key management ensure privacy.
- Highly Configurable & Open-Source: Community forks (e.g., Erlich’s OpenAI-compatible variant) expand deployment and integration scenarios.
- Proven Performance: Benchmarks cite MMLU score of 90.8%, 81% bug detection in code reviews, and cost efficiency (~11.7x cheaper than alternatives).
- Seamless integration of reasoning and polish in one pipeline
- Rust-based runtime offers low latency and high performance
- Full BYOK support and open-source freedom
- Community-driven extensions and diverse deployment options
- Requires DeepSeek and Claude API keys—no standalone offline model
- Complexity of managing two API services may deter casual users
- Some reports indicate Claude may get “confused by the chain of reasoning” in longer contexts
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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