Botpress
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About
Botpress is a comprehensive AI agent platform designed to help developers and businesses build, run, and manage intelligent conversational agents. At its core, the platform uses a custom inference engine called LLMz to coordinate agent behavior, enabling bots to interpret instructions, manage memory, and execute code within a safe sandbox. Unlike many standard frameworks that require external orchestration, Botpress handles multi-step logic internally, allowing for more complex and reliable autonomous actions. The architecture is fully isolated, ensuring that each deployed agent runs in its own durable environment, which protects against future platform changes. The platform offers a dual approach to building: a visual drag-and-drop studio for rapid design and a robust API/SDK for developers who prefer code-based customization. Key capabilities include Human in the Loop handoffs for escalating conversations to live agents, stateful persistent memory for contextual interactions, and native support for major LLMs from providers like OpenAI and Anthropic. The platform also provides a specialized integration hub that allows agents to connect to business tools like HubSpot, Stripe, and Zendesk effortlessly. Botpress is versatile enough for solo developers, small teams, and Fortune 500 enterprises. It is particularly effective for augmenting customer support workflows by automating routine inquiries like refunds or cancellations while maintaining consistency across channels like WhatsApp, Slack, and Facebook Messenger. It also serves as a powerful tool for internal process automation, enabling organizations to build agents that interact with business data, files, and tables to streamline complex tasks with structured inputs. What distinguishes Botpress is its focus on agentic primitives and a flexible pay-as-you-go model that includes a free tier with monthly AI credits. The platform prioritizes transparency and observability, giving developers full visibility into agent actions and executions. With a massive community of over 750,000 published agents and a history of pioneering agent design patterns, it provides a stable and well-supported ecosystem for building production-ready AI systems that are transparent and outcome-driven.
Pros & Cons
Offers a generous free tier with $5 monthly AI credits and essential building tools.
Supports a wide range of native integrations including HubSpot, Stripe, and Zendesk.
Features a custom internal inference engine that handles multi-step logic without external orchestration.
Provides multi-channel deployment, allowing bots to run on Web, WhatsApp, and Slack simultaneously.
Allows for 'Human in the Loop' orchestration to seamlessly escalate AI conversations to human agents.
Bots stop responding entirely once the monthly message or event limit is reached.
White-labeling is limited to the webchat widget and does not apply to the studio or dashboard.
AI Spend is difficult to forecast accurately due to variations in conversation length and token usage.
Real-time collaboration and role-based access control are locked behind the high-cost Team plan.
Use Cases
Customer support managers can automate routine ticket handling and refunds while using human handoff for complex escalations.
Solo developers can build and experiment with AI agents for free using the $5 monthly AI credit and visual studio.
Enterprises can deploy agents across multiple communication channels like Slack and WhatsApp to maintain consistent internal and external communication.
Product teams can integrate AI agents directly into custom applications using the Botpress API and SDK.
Non-profit organizations can apply for the 'Botpress for Good' program to access more affordable AI automation solutions.
Platform
Task
Features
• role-based access control
• api and sdk for developers
• custom code execution sandbox
• multi-channel deployment (whatsapp, slack, web)
• knowledge base indexing
• human-in-the-loop handoff
• autonomous inference engine
• visual drag-and-drop studio
FAQs
What counts as an incoming message and event?
An incoming message or event is any action that triggers the bot, such as a user saying 'Hello', a proactive trigger, or a session timeout. Notably, publishing your bot also counts as three events toward your monthly quota.
How does AI Spend work in Botpress?
AI Spend is the budget allocated for your bot's LLM usage, which is charged at the provider's cost without any markup from Botpress. You can set custom spending caps and receive a $5 monthly credit to cover token consumption.
Can I white-label my chatbots?
Yes, white-labeling is available for the webchat widget on Plus, Team, and Enterprise plans, allowing you to remove the 'Powered by Botpress' watermark. However, white-labeling is not currently supported for the Studio or Dashboard interfaces.
What happens if I exceed my monthly message limit?
Once a workspace reaches its incoming messages and events limit, all associated bots will stop responding until the next month. You can resume service immediately by purchasing a limit increase or waiting for the monthly reset.
Does Botpress support multiple LLM providers?
Yes, you can access LLMs from various providers like OpenAI, Anthropic, and Groq, or even bring your own API key. The platform also allows you to enable backup LLMs to maintain functionality during primary service outages.
Pricing Plans
Plus
USD89.00 / per month• Human handoff
• Conversation insights
• Watermark removal
• Proactive chat bubble
• Visual knowledge base indexing
• 10GB File storage
• Technical support via live chat
Team
USD495.00 / per month• Role-based access control
• Real-time collaboration
• Custom analytics
• Advanced support
• Staging and production environments
• Detailed workspace change logs
Enterprise
Unknown Price• Whiteglove onboarding
• Custom workspace limits
• Dedicated support manager
• Custom data retention policies
• HIPAA compliance BAA
• Premium support
Pay-as-you-go
Free Plan• Visual building studio
• Free monthly $5 AI credit
• Community support
• 100MB File storage
• Knowledge base answering
• Multi-channel deployment
Job Opportunities
Agentic Implementation Manager
Build and deploy custom AI agents for customer support and process automation using a visual studio, autonomous engine, and extensive third-party integrations.
Other Requirements:
Comfortable commuting to the Downtown Montreal office
Legally authorized to work in Canada
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Ratings & Reviews
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