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Agentic Workflow Orchestration for High-Velocity Lead Conversion

The open-source domain-specific language for building powerful, scalable conversational agents.
CSML (Conversational Standard Meta Language) is a specialized domain-specific language and execution engine designed to solve the inherent complexities of conversational state management. Developed in Rust, the engine is engineered for high performance and horizontal scalability, providing a deterministic framework for dialogue flow that decouples conversational logic from specific LLM providers. In the 2026 market, CSML serves as a critical orchestration layer, allowing enterprise architects to switch between various models like GPT-5, Claude 4, or Llama 3 without refactoring the entire agent architecture. Its unique memory management system allows for long-term context retention across diverse channels, including WhatsApp, Slack, and custom webhooks. By treating conversational paths as structured code rather than fragile trigger-response sets, CSML offers developers a professional environment complete with a dedicated IDE (CSML Studio), native integrations via CSML Apps, and advanced debugging tools. This architecture is particularly valuable for industries requiring strict data sovereignty and predictable AI behavior, as the engine can be self-hosted, ensuring that sensitive conversational data remains within private infrastructure while still leveraging cutting-edge generative AI capabilities for natural language understanding.
Automatic persistence of variables across sessions using a key-value store optimized for conversational states.
Agentic Workflow Orchestration for High-Velocity Lead Conversion
Turn anonymous traffic into qualified pipeline with autonomous conversational intelligence.
Omnichannel AI Chatbot Orchestration for Enterprise Automation
The intuitive no-code platform for building conversational apps and lead-gen workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A modular system allowing developers to package Node.js or Python scripts as reusable conversational components.
The engine can call external LLMs or NLU engines (Rasa, Dialogflow) to interpret intent while maintaining logic control.
The core runtime is written in Rust, ensuring memory safety and extremely low latency for high-traffic environments.
Ability to recognize a user across different platforms (e.g., WhatsApp and Web) and resume the same state.
Real-time mapping of CSML code into a visual graph for non-technical stakeholders in CSML Studio.
Optional encryption for 'remembered' variables to ensure PII is handled securely within the memory engine.
High volume of repetitive tickets overwhelming human agents.
Registry Updated:2/7/2026
Low conversion rates from users leaving items in digital carts.
Inconsistent onboarding experiences for remote employees.