MUTATION_TESTING
AgentThe agent package's pure, deterministic core (the chat permission gate, the control-tool plumbing, JSON extraction, and the…
**Navigation**: [Agents package rules](../AGENTS.md) → **Running Agents from CLI**
Claude Code
$ npx -y skills add nodetool-ai/nodetool --agent claude-code
Cursor
Cursor also loads subagents from .claude/agents, so copy this file there to use it in Cursor.
**Navigation**: [Agents package rules](../AGENTS.md) → **Running Agents from CLI**
Paths are relative to `packages/agents/` unless they name another package.
Every session runs the unified agent loop; `-a, --agent` and `--no-agent` are accepted for backwards compatibility and do nothing.
# Start a session nodetool-chat # With specific provider and model nodetool-chat --provider anthropic --model claude-sonnet-5 # With workspace directory nodetool-chat --workspace /path/to/project # Connect to WebSocket server nodetool-chat --url ws://localhost:7777/ws
echo "Summarize this codebase" | nodetool-chat --provider anthropic
`CHAT_COMMANDS` in `packages/cli-chat/src/app.tsx` is the list; anything else prints `Unknown command`. Every session runs the unified agent loop. `/agent` inspects the sub-agent threads created by that loop. It does not switch agent modes.
/help — Show available commands /new — Start a new chat session /clear — Clear conversation history /compact — Summarize conversation into retained context: /compact [instructions] /model — Set provider and model: /model <provider/model-id> /agent — Inspect sub-agent threads: /agent [id|main] /tools — List enabled tools /exit — Exit the chat /quit — Exit the chat
An objective is one CodeAct turn over the same belt chat uses, so there is no second loop to configure. `packages/cli-chat/src/commands/agent.ts` assembles it: `buildCliAgentBelt({ ..., planning: true })` puts `create_plan` and `execute_plan` on the belt, `createCliCodeActTurn` turns that belt into the `execute_code` action plus the direct tools, and `processChat` runs the turn. The model decides whether the objective wants decomposing; nothing plans on its behalf.
The stream is the same `ProcessingMessage` union every host emits — `chunk`, `planning_update`, `task_update`, `tool_call_update`, `tool_result_update`, `step_result`, `log_update` — which is why `--json` output and the chat renderer read the same events.
To build a session of your own, use `createChatCodeActSession` (`src/codeact/chat-codeact.ts`) rather than assembling an executor: it owns the system prompt, the sandbox package allowlist, the resident/direct tool split, and the clock that stops the action budget while a permission prompt is open.
Open-source AI film studio · agent + node workflows Direct AI films, shot by shot. Start with one sentence. The agent writes the story, draws a still for every shot, and cuts the clips on a timeline.
The agent package's pure, deterministic core (the chat permission gate, the control-tool plumbing, JSON extraction, and the…
**Navigation**: [Agents package rules](../AGENTS.md) → **Capabilities and tool sources**
**Navigation**: [Agents package rules](../AGENTS.md) → **CodeAct Execution**
**Navigation**: [Agents package rules](../AGENTS.md) → **Eval suites**
**Navigation**: [Agents package rules](../AGENTS.md) → **Graph authoring**
**Navigation**: [Agents package rules](../AGENTS.md) → **JavaScript Sandbox**
Agent for managing AI prompts on prompts.chat - search, save, improve, and organize your prompt library.
정밀(strict) 모드 1단계 진단 에이전트. 글 전체를 한 번에 보고 "가장 지배적인 AI 티 패턴 3~6개"를 taxonomy ID와 함께 진단한다. 불안정한 span 열거(0↔18개로 요동) 대신 "무엇이 이 글을…
Topic Clusters curator for the Claude Blog Brain. Maintains and answers from the Topic Clusters theme of the brain, grounded in…
Optional gallery research helper. Use when a caller wants to find references, explore styles, build a mood board, or needs…