DeepSeek

A research code repository for studying how fine-tuning can trigger verbatim recall of copyrighted books in large language models. It includes preprocessing, fine-tuning, generation, and memorization-evaluation scripts, with setup notes and example data.

A CLI proxy that lets Claude Code run against DeepSeek V4 Pro, OpenRouter, Fireworks AI, or Anthropic-compatible backends while keeping the same agent workflow.

A PyTorch reference implementation of DeepSeek Sparse Attention from the LLMs-from-scratch project, including a lightweight indexer, top-K token selection, and a GPT-style model with KV-cache support.

A Python-based coordination protocol and daemon for running multiple LLM sessions in parallel with shared awareness, aimed at Claude Code and other Anthropic-compatible models.

An OpenAI-compatible API proxy for using DeepSeek models with standard OpenAI SDKs, billed pay-as-you-go and accessible without phone verification.

Retriever AI’s blog post explains a browser-agent architecture built around DeepSeek Flash, text-only DOM handling, and executable code as the planning layer. It includes concrete examples of the harness, the model’s role, and the cost argument behind the approach.

A DeepSeek paper about DSpark, a full-stack codebase for training and evaluating speculative decoding algorithms to speed up LLM inference.