Features

• Modular composition — Models, memory, tools, channels, and skills are independent building blocks you mix and match to assemble agents
• One-command deployment — npm install -g or docker run, native cross-platform with no extra system dependencies
• Full Web UI management — All configuration done in the browser, no manual file editing required
• Multiple LLM providers — OpenAI, Anthropic Claude, Google Gemini, Ollama, and any OpenAI-compatible API (Azure OpenAI, Groq, Mistral, DeepSeek, etc.); automatic retry with exponential backoff on transient failures
• Multi-agent orchestration — Single, ReAct (recursive task decomposition), and Generative (multimodal) modes; agents can be nested and composed
• ACP agent support — Agent Client Protocol integration with persistent and transient agent modes
• Knowledge base — Built-in wiki with hybrid keyword + semantic search, referenced by agents during conversations
• Long-term memory — Vector-embedding semantic search for persistent context recall (OpenAI, Google, Ollama, Cohere, VoyageAI)
• Conversation compaction — Automatic conversation summarization when token usage exceeds threshold, preserving continuity while reducing consumption
• Memory — Per-agent automatic long-term memory: a background MemoryLLM extracts durable knowledge after each conversation idles; the agent reads it back via search_memory / read_memory, with consolidate/reconcile maintenance
• Agenda — Conversation-driven reminders, schedules, and routines with absolute / interval / cron triggers; optionally synced from the conversation after every turn and delivered to any session or channel
• Heartbeat — Configurable periodic self-activation lets agents run scheduled prompts proactively across any channel
• MCP tools — Standard MCP protocol (stdio/SSE), connect to any MCP tool ecosystem; per-agent and global servers with auto-restart
• Multiple channels — Web UI, CLI, Lark/Feishu, Slack, WeCom, WeChat, DingTalk, QQ (official bot), OneBot (QQ), XiaoAI, REST API, WebSocket
• Built-in tools — Shell execution, file system, archive operations, media file read, Python/PowerShell inline execution, web fetch/download, cron scheduler, todo, ask
• Skills — Installable prompt modules with remote install from Clawhub, skills.sh, and skillhub.cn
• Agent Store — Browse and install pre-packaged agents (model + prompt + tools + skills + MCP servers) from configurable sources
• Token usage tracking — Per-model consumption statistics, model response caching with hit/miss metrics
• Unattended-session safety — Configurable approval and ask timeouts on channels for autonomous operation
• Flexible config — Global and per-session overrides from a single settings.json; customizable prompts with hot reload