Free plan with 200 credits per month for public repositories and core features; Pro plan at $16/month ($192 billed annually) with 4000 credits per month and private repository support; Enterprise plan with custom pricing and credits as needed
Key features
Visual and code-based agent builder with Studio workspace
CALM architecture combining LLMs with deterministic flows
Enterprise RAG for real-time information retrieval
Multi-channel deployment across voice, chat, and messaging
Automatic conversation evaluation and testing
Conversation analytics and insights
Connect agents with MCP Server for automatic documentation capture
Self-documenting pull requests
Sync existing documentation from Notion, Confluence, Coda, or repositories
Generate documentation on demand
Custom documentation templates
Shared knowledge layer for team-wide agent learning
Integration with Slack and MS Teams for context requests
Analytics dashboards and observability
What makes it different
Full control and ownership of AI agent logic and data without vendor lock-in
Combines flexibility of LLMs with reliability of deterministic logic
Enterprise security and governance built in from day one
Reduces agent token consumption by 50% through shared knowledge caching
Automatically maintains up-to-date documentation as code changes
Knowledge stays in human-readable Markdown format and is portable
Improves agent consistency across runs with shared knowledge layer
SOC 2 Type II certified for enterprise security compliance
Rasa
Dosu