Botpress

End-to-end platform for building, deploying and managing AI agents and chatbots.

4.8 (5)
Daniel NikulshynAnmeldt av Daniel Nikulshyn·Oppdatert mai 2026

Oversikt

Botpress is a development platform for creating conversational AI agents powered by large language models. It provides a visual flow builder, an SDK, and integrations with popular messaging channels, letting teams design agents that can hold natural conversations, call APIs, and execute multi-step tasks. The platform combines low-code tools with deeper customization options, so both non-technical users and developers can collaborate on the same project. Features like knowledge bases, analytics, and human handoff make it suitable for production use cases such as customer support, lead generation, and internal automation. Botpress offers a free tier for experimentation and paid plans that scale with usage, plus an open-source community edition for self-hosted deployments.

Nøkkelfunksjoner

  • Drag-and-drop conversation flow editor
  • LLM-powered agents with tool use
  • Knowledge base ingestion from docs and URLs
  • Multi-channel deployment (web, WhatsApp, Slack, etc.)
  • Analytics and conversation monitoring
  • Human handoff and team collaboration

Brukstilfeller

Automated Customer Support Agent

Deploy an LLM-powered chatbot trained on help docs and URLs to answer customer questions across web and WhatsApp, with human handoff for complex cases.

Lead Generation on Marketing Sites

Use the visual flow builder to design conversational agents that qualify visitors, capture contact details, and sync leads to CRM tools via API calls.

Internal Workflow Automation

Build agents in Slack that execute multi-step tasks, query internal knowledge bases, and trigger APIs to streamline employee requests and operations.

Multi-Channel Conversational Deployment

Design a single agent once and deploy it across web, WhatsApp, and Slack while monitoring performance through built-in analytics dashboards.

Fordeler og ulemper

Fordeler

  • Visual builder paired with developer SDK
  • Wide range of channel integrations
  • Built-in knowledge base and LLM support
  • Active community and learning resources

Ulemper

  • Pricing can scale quickly with heavy usage
  • Advanced features have a learning curve
  • Some integrations require custom coding

Anmeldelser

4.8

Gjennomsnitt fra 5 vurderinger.

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A

Aaliyah Johnson

Compared a few options

Evaluated this against two competitors. Where it wins: analytics and conversation monitoring and wide range of channel integrations. On balance the feature set — especially analytics and conversation monitoring — justifies the 5 stars for our use case.

K

Kwame Mensah

Solid for our team

We rolled this out across the team last quarter and wide range of channel integrations. LLM-powered agents with tool use fits neatly into how we already work, and analytics and conversation monitoring removed a step we used to do by hand. Pricing can scale quickly with heavy usage, which is the main caveat, but it has held up under daily use.

E

Elena Rossi

Solid for our team

We rolled this out across the team last quarter and active community and learning resources. Analytics and conversation monitoring fits neatly into how we already work, and lLM-powered agents with tool use removed a step we used to do by hand. but it has held up under daily use.

D

Daniel Schmidt

Compared a few options

Evaluated this against two competitors. Where it wins: human handoff and team collaboration and wide range of channel integrations. On balance the feature set — especially multi-channel deployment (web, WhatsApp, Slack, etc.) — justifies the 5 stars for our use case.

O

Olga Ivanova

Use it every day

Honestly didn't expect to like it this much. Drag-and-drop conversation flow editor is exactly what I needed, and visual builder paired with developer SDK. I do wish pricing can scale quickly with heavy usage, but I reach for it almost every day now and it just clicks.

Spørsmål

Ingen spørsmål ennå — still det første.

Still et spørsmål

Alternativer til Agent Development