DeepSeek Bot

DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture in which everything is a plugin and is powered by Cordis, whose design is described in “A Programming Paradigm for Spatiotemporal Composability.” The npm package can launch a local Web UI with `npx @deepseek-ai/dsh web`, serving at `http://127.0.0.1:3080` by default and opening the default browser; it can also be built and run from a repository checkout. The project is in developer preview and warns that compatibility-breaking changes may occur. It is licensed under the MIT License, with third-party dependencies and their licenses documented separately.

DeepSeek (深度求索) is an AI research project and model provider that develops and open-sources large foundation models (notably named DeepSeek-V4 and DeepSeek-R1) and provides hosted inference via a chat interface (“DeepSeek AI”) and an API. It publishes open-source model releases and offers a hosted API for text-based prompt inference; video reports state DeepSeek models can be exposed as external backends and routed into the Codex model picker via Codex Router.

deepseek-recipe is a collection of Rust libraries and Python bindings for converting API requests in Messages, Chat Completions, and Responses formats into a shared conversation representation, encoding conversations into prompts or token IDs for DeepSeek V4 and V4.1 models, and converting model output back into protocol-specific responses. It supports streaming, text and image inputs, thinking and reasoning settings, function tools, tool calls, JSON object output, and stop sequences; its image component provides DeepSeek V4.1 preprocessing with OpenCV. The package parses model output and handles prompt encoding, while inference, tool execution, and HTTP transport are supplied externally. It includes separate components for core conversation types, prompt encoding, image processing, Python bindings, and example Axum and FastAPI servers with mock inference. Project code and public documentation are licensed under the MIT License.

DeepSeek and Destroy (DSD) is a long-horizon coding-agent skill for executing large implementation plans through persistent worker loops. A premium parent agent handles architecture, decomposition, decisions, and phase gates, while fresh lower-cost specialist workers implement, review, repair, and recheck repository-scale changes. The default worker backend is external OpenCode using opencode-go/deepseek-v4-flash, and the skill is designed for Codex, Claude Code, OpenCode, Kilo Code, and comparable coding harnesses. Each task is rendered into an immutable JSON contract and managed through attempt directories containing prompts, reports, logs, state, and scope baselines. Its normal loop uses an Implementer, a fresh independent Reviewer, and—when needed—a fresh Fixer followed by another Reviewer. Python-based gates check objective integrity such as hashes, lifecycle, and exact source movement; an optional read-only Evidence Clerk interprets already-produced evidence for the parent but cannot invent proof, rerun verification, repair code, waive integrity failures, approve work, or recurse into another Clerk. Documentation is split between always-relevant parent rules and cold-loaded workspace, harness, transport, compaction, prompt, and specialist-role materials.

An experimental community preset for DeepSeek Harness, an LLM-agent harness. It starts a session with the real Minimal tool schema containing only a shell tool and a file-reading tool, using that condition to anchor the model's initial trajectory. After the first durable tool call or assistant reply, it promotes the session to the full Standard tool catalog, making heavier tools available on demand. The repository also includes related zero-anchored, self-introduction, prefab, and eternal-Minimal modes, and states that it is not an official DeepSeek preset or affiliated with DeepSeek.