deepagents-cli
Deep Agents CLI reference and usage guide. Use when the user wants to: (1) Launch or configure the deepagents terminal coding assistant, (2) Set up interactive or non-interactive (automation/CI) agent sessions, (3) Manage agent memory, skills, or AGENTS.md context files, (4) Configure LLM providers, models, or sandbox execution environments, (5) Build scripted workflows or subagent patterns with deepagents.
npx skills add majiayu000/claude-skill-registry --skill deepagents-cli-gitmaxd-deepagents-cli-droid --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Deep Agents CLI Terminal coding agent with persistent memory, skills, sandboxed execution, and 20+ LLM providers. Built on LangGraph. See the [official overview](https://docs.langchain.com/oss/python/deepagents/overview) and [CLI guide](https://docs.langchain.com/oss/python/deepagents/cli/overview). ## Quick Start ```bash # Interactive session (default agent, default model) deepagents # Interactive with specific agent and model deepagents -a myagent -M anthropic:claude-sonnet-4-5 # Non-interactive one-shot task deepagents -n "Summarize README.md" # Non-interactive with shell access deepagents -n "List Python files and count lines" --shell-allow-list ls,wc,find # Resume last session deepagents -r ``` ## Core Concepts ### Agents = Isolated Personas Each agent has its own memory, skills, and AGENTS.md context file: ``` ~/.deepagents/<agent_name>/ ├── AGENTS.md # Always-loaded context (preferences, conventions) ├── memories/ # Auto-saved topic memories └── skills/ # User-level skills ``` ```bash deepagents -a researcher # Use "researcher" agent deepagents -a coder # Use "coder" agent deepagents list # List all agents deepagents reset --agent NAME # Clear agent memory ``` ### Memory v
- Quick Start
- Core Concepts
- Agents = Isolated Personas
- Memory vs Skills
- Two Operating Modes
- Interactive Mode
- Slash Commands
- Non-Interactive Mode
- Piping and stdin
- Model Selection
- At Launch
- During Session
- Default Model
- Resolution Order
Interactive session (default agent, default model) deepagents Interactive with specific agent and model deepagents -a myagent -M anthropic:claude-sonnet-4-5 Non-interactive one-shot task deepagents -n "Summarize README.md" Non-interactive with shell access deepagents -n "List Python files and count lines" --shell-allow-list ls,wc,find Resume last session deepagents -r
What does the deepagents-cli skill do?
Deep Agents CLI reference and usage guide. Use when the user wants to: (1) Launch or configure the deepagents terminal coding assistant, (2) Set up interactive or non-interactive (automation/CI) agent sessions, (3) Manage agent memory, skills, or AGENTS.md context files, (4) Configure LLM providers, models, or sandbox execution environments, (5) Build scripted workflows or subagent patterns with deepagents.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill deepagents-cli-gitmaxd-deepagents-cli-droid --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.