Botpress vs Voiceflow

Botpress is a platform for building, deploying, and monitoring AI agents for customer support and other workflows. Botpress Studio provides a visual environment for designing conversation flows, branching logic, and multi-step automations. Its Autonomous Engine uses language-model reasoning and structured logic to select actions, run workflows, and connect to APIs and external systems. Teams can add documents, websites, spreadsheets, and CSVs to Knowledge Bases, while Tables store structured data across sessions. Custom code actions, bespoke integrations, multiple LLM configurations, and API access support tailored development. Integrations include channels and services such as WhatsApp, Telegram, Messenger, Slack, Gmail, Google Drive, Linear, and Stripe; a bot can have up to 30 installed integrations. Botpress Cloud is a managed web application and the recommended platform for new development. Self-hosted or locally installed v12 versions are sunset and unavailable for new deployments. The Free plan costs nothing and includes 25 conversations, 3 seats, and 3 AI agents. Plus costs $150 a month billed annually and includes 250 conversations per month; Team costs $750 a month billed annually and includes 1,500 conversations per month.

Voiceflow is a platform for building, testing, deploying, and monitoring chat and voice agents across channels and languages. Its builder combines agentic playbooks, deterministic workflows, shared instructions, and guardrails. Teams can review transcripts and call recordings, run evaluations and tests, and track analytics. Agents can reach users through a native chat widget, mobile apps, phone calls, SMS, or custom interfaces built with the Conversations API. Native integrations include Zendesk, Salesforce, HubSpot, Shopify, Airtable, Google Sheets, Gmail, and Twilio. Agents can also connect to external REST APIs, custom Functions, and MCP servers. Teams can choose from major LLM providers or bring their own model. Voiceflow says customer data is not used to train AI or machine-learning models and integrated model providers are configured for zero data retention. Its security information describes encryption at rest with customer-managed keys and encryption in transit using TLS and mTLS. The company was founded in 2019. Agencies and partners have a free-trial plan with usage-based billing; business pricing is available on request. Support includes implementation that can be self-serve or fully managed.