Botpress

What Is Botpress?

Botpress is an open-source platform providing the infrastructure layer for building, deploying, and managing AI agents and conversational assistants. It gives developers a flexible, model-agnostic stack for building complex conversational AI applications, abstracting away the complexities of working directly with large language models.

The platform includes Botpress Studio, a visual builder with a drag-and-drop interface for designing conversation flows, alongside Botpress ADK, a code-first developer toolkit for deeper customization. It also offers Botpress Desk, an AI-native helpdesk that combines ticket management, routing, agent workspaces, and analytics so AI and human agents can collaborate while preserving full conversation context.

Who Founded Botpress?

Botpress was founded in 2017 in Quebec City, Canada, by Sylvain Perron (CEO), who serves as the company's co-founder and CEO, alongside Justin Watson (co-founder and advisor). Perron previously worked as a software developer for Arcbees and the Canadian government, and originally open-sourced the first version of Botpress on GitHub back in 2017 after building an internal conversational AI stack while serving as CTO of a financial services company starting in 2015. Other key figures include Jean-Bernard Perron (COO and CFO).

Company Growth and Funding

Botpress has raised a total of roughly $45 million, including a $15 million Series A in April 2021 led by Decibel with participation from Inovia Capital, and a $25 million Series B in June 2025 led by FRAMEWORK, valuing the company at $120 million post-money. The company pivoted in 2023 from a pure open-source toolkit to an all-in-one LLM-native agent platform with a managed cloud offering.

Key Features of Botpress

• Multi-channel deployment: Instantly deploys bots across Botpress Webchat, Facebook Messenger, Microsoft Teams, SMS via Twilio, WhatsApp, LINE, Viber, and Instagram, with Intercom, Gmail, and Rocket.Chat support coming soon.
• Multilingual support: Can build bots in 100+ languages, though natural language understanding in early previews of the newest platform version supports only English.
• Knowledge Bases: Centralizes organizational knowledge by ingesting website and document content, with an API for dynamic file management and citations for response transparency.
• Autonomous agents: Supports self-directed conversational workflows with custom model strategies and multi-modal conversation support.
• LLMz inference engine: A custom inference engine optimized for memory and context management, enabling deep customization of agent behavior.
• Tables: Provides structured, persistent, and scalable data handling with natural language filters for data retrieval.
• Human handoff: Available starting on the Plus plan, allowing smooth escalation from AI agents to live support staff.
• Role-based access control: Available on Team and higher plans for managing permissions across larger teams.
• Extensive integrations: Connects with 100+ prebuilt connectors spanning CRMs, support desks, e-commerce platforms, and marketing tools.
• Self-hosting option: The MIT-licensed core server can be run entirely on a customer's own infrastructure via Docker or Kubernetes, free forever.

Botpress Pricing

Botpress pricing has changed multiple times in 2026, moving from per-message to per-conversation billing with bundled AI usage as of a May 14, 2026 update.

Note: Reported figures for the Plus and Team plans vary across sources (some cite $89–$495/month for Plus and $446–$1,495/month for Team), reflecting Botpress's frequent 2026 pricing updates, so it's best to confirm current rates directly on Botpress's pricing page. Conversation overage packs cost roughly $50–$65 per 100 additional conversations depending on plan tier.

Best Use Cases of Botpress

Botpress is best suited for developers and technical teams that want deep customization and control over their AI agents, rather than a purely no-code chatbot builder. Its self-hosting option makes it a strong fit for organizations in regulated industries like finance, healthcare, and government that need to keep data within their own infrastructure. It's also well suited for businesses wanting an all-in-one AI helpdesk that blends automated resolution with human agent collaboration across many messaging channels.