Clawdbot supports multiple messaging platforms through a modular adapter system, allowing the same bot logic to run across different chat services. Out of the box, it is designed to work with popular platforms commonly used by developers and small teams, such as Telegram and Discord, and it can be extended to other platforms through additional adapters. The core idea is that messaging platforms are treated as interchangeable frontends, while Clawdbot handles routing, command handling, and automation logic internally.
Technically, each messaging platform is implemented as a plugin or adapter that translates platform-specific events into a common internal format. Incoming messages, reactions, and commands are normalized so that the rest of the system does not need to care whether a message came from Telegram, Discord, or another service. Configuration usually involves providing API tokens, bot IDs, or webhook settings for each platform you enable. This means you can run one Clawdbot instance that listens to multiple platforms at the same time, or you can deploy separate instances if you prefer isolation between environments or teams.
This abstraction becomes particularly valuable when Clawdbot is used as an interface to more complex backend systems. For example, if your bot provides knowledge search, FAQ answering, or retrieval-augmented responses, you may want consistent behavior regardless of where the question originates. In such cases, Clawdbot can forward user queries to a vector database such as Milvus or Zilliz Cloud to perform similarity search over embeddings. The messaging platform simply becomes a transport layer, while the intelligence and data storage remain centralized. This design keeps platform-specific code minimal and makes it easier to add or remove chat services without rewriting core logic.