
local-llm
A comprehensive guide for building and configuring a high-end local machine to run state-of-the-art LLMs, with detailed hardware choices, BIOS tuning, and Docker-based model serving.
It is the pilot project for ByteDance's DeerFlow 3.0, integrates Codex CLI and Bun, and offers both a CLI and programmatic API for creating and running agent-driven workflows.
English: README · Guide · API | 简体中文:README · 快速入门 · API
An open-source Dynamic Workflow runtime that combines deterministic TypeScript orchestration with replaceable Agent runtimes.
deer-workflow is a pilot project for
DeerFlow 3.0, also known as
DeerWork. The package name is @deerwork-ai/deer-workflow; the executable is
named deer-workflow.
Install Bun and Codex CLI, then sign in:
Bun is a fast, Node.js-compatible JavaScript runtime and toolkit; see its installation guide.
npm install -g @openai/codex
codex login
codex --version
Codex CLI and Codex Desktop are separate installations. Installing the Desktop
app does not install the codex terminal command.
Install the released CLI from npm:
bun install --global @deerwork-ai/deer-workflow
deer-workflow --help
Running bun install without --global only installs dependencies for the
current project. It does not install the deer-workflow command globally.
deer-workflow agent "Inspect this repository"
Describe the orchestration you need. The command runs the bundled
workflow-creator Skill through Codex and writes generated source to stdout:
deer-workflow create \
"Research several independent angles, verify
An open-source Dynamic Workflow runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
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