Selora AI: Embedded Claw
Replace the current web chat with a core Claw layer, enabling Selora AI conversations across multiple channels including web chat, Telegram, and more.
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Overview
Replace the current web chat in the Selora AI integration with a core Claw layer. This enables users to interact with Selora AI across multiple channels — starting with the existing web chat and Telegram, with plans to add WhatsApp, Discord, and more over time.
We are currently exploring ZeroClaw as a lighter and more secure alternative to OpenClaw for this embedded use case.
Customer value
- Multi-channel access: Talk to Selora AI from the web chat, Telegram, and future channels from a single integration.
- Lightweight and secure: ZeroClaw provides core chat connectivity without the overhead of a full OpenClaw stack.
- Extensibility: New channels can be added incrementally without rearchitecting the integration.
- Flexibility: Advanced users retain the ability to connect their own OpenClaw instances for full feature parity.
Scope (first iterations)
- Core Claw layer: Replace the current web chat backend with an embedded Claw (exploring ZeroClaw as the primary candidate).
- Web chat migration: Migrate the existing web chat to use the new Claw layer.
- Telegram integration: Add Telegram as the first additional channel.
- Channel expansion: Planned support for WhatsApp, Discord, and other messaging platforms.
- External connection: Interface for advanced users to link their own OpenClaw instances.
Architecture (directional)
- Selora AI acts as the orchestration layer.
- An embedded Claw (ZeroClaw) handles messaging between Selora AI and channel connectors.
- Modular channel connectors (web chat and Telegram first, followed by others).
- Secure credential storage for chat tokens and API keys.
Open questions and risks
- Claw selection: Finalizing the embedded Claw engine (ZeroClaw vs. alternatives) based on security and performance audits.
- Web chat migration: Ensuring a seamless transition from the current web chat to the new Claw-backed implementation.
- Feature parity: Determining the exact subset of features to include in the lightweight implementation.
Related
- Selora Smart Agent: Docs
Last modified April 6, 2026: Selora AI: Embedded Claw (6ca8d64)