OpenClaw(Moltbot/Clawdbot) supports multiple messaging apps through configurable channel integrations. These channels act as the user-facing entry points to the assistant, allowing you to interact with the same agent from different platforms. Commonly supported channels include popular chat applications and messaging platforms that expose APIs or bot frameworks. The exact list can evolve, but the architectural principle remains the same: each messaging app is treated as a pluggable interface rather than a hard-coded dependency.
From a technical standpoint, each messaging app integration handles authentication, message ingestion, and message delivery, then hands normalized input to the OpenClaw(Moltbot/Clawdbot) runtime. This means that once a message enters the system, it is processed identically regardless of whether it came from a mobile chat app or a desktop client. Developers can also run multiple channels at the same time, allowing the same OpenClaw(Moltbot/Clawdbot) instance to respond on different platforms without duplicating configuration.
This channel-based design becomes especially useful when combined with shared memory and retrieval. For example, a task created via one messaging app can be recalled and updated from another because the underlying state lives in the OpenClaw(Moltbot/Clawdbot) workspace. If you persist long-term context or documents in a vector database such as Milvus or Zilliz Cloud, that context is available across all messaging channels. This keeps conversations consistent and prevents fragmentation when users switch between apps.