Open Source Chatbase Alternatives

Parlant is a self-hostable conversational AI server designed for teams building customer-facing agents that need to stay on-brand, on-policy, and predictable in production. It sits between your frontend and your LLM provider, managing every interaction through a structured control layer rather than relying on monolithic system prompts or rigid intent graphs.

The core idea is context engineering: instead of stuffing all your rules into one prompt and hoping the model follows them, Parlant dynamically assembles only the rules, data, and tools relevant to each turn. The result is that the 200th behavioral rule is as safe to add as the first, with no degradation in adherence.

Key capabilities:

• Guidelines define conditional behavioral rules that fire based on conversational context. When several apply at once, Parlant merges them intelligently without manual routing.
• Canned responses let you lock down exact wording for high-stakes moments. In strict mode, required fields must be present in context before a response can be selected, making hallucination prevention structural and deterministic.
• Journeys model multi-step interactions while preserving the fluid, non-linear nature of real dialogue. Users can mix topics and circle back without losing context.
• Full traceability on every turn: which guidelines fired, which glossary terms were matched, and why the agent responded the way it did.

This is a meaningful departure from tools like Rasa or flow-based builders. Changing agent behavior is a content change (add or edit a guideline), not a structural one (rewire a graph). That makes it practical for product teams to feed ongoing feedback directly into the agent without requiring engineering intervention for every adjustment.

Parlant is LLM-agnostic and works with OpenAI, Anthropic, Azure, and others. It's built for enterprise AI teams where tone, edge cases, and policy constraints aren't afterthoughts.

Typebot revolutionizes the way you create and manage chatbots, offering a powerful yet user-friendly platform for businesses and developers alike. With its intuitive visual editor, you can design complex conversational flows without writing a single line of code.

Key benefits of Typebot include:

• Visual Flow Builder: Drag-and-drop interface for easy bot creation
• Customizable Design: Match your brand with fully customizable themes
• Multi-Platform Integration: Embed your chatbots on websites, apps, or popular messaging platforms
• Advanced Logic: Implement conditional branching and variables for sophisticated interactions
• Data Collection: Gather and analyze user inputs securely
• API Connections: Integrate with your existing tools and databases
• Multi-Language Support: Create bots in any language to reach a global audience
• Templates: Jump-start your projects with pre-built templates for various use cases
• Analytics Dashboard: Track performance and optimize your chatbots

Whether you're looking to automate customer support, streamline lead generation, or create interactive surveys, Typebot provides the tools you need to build engaging conversational experiences. Its versatility makes it suitable for businesses of all sizes, from startups to enterprises, across various industries.

Get started with Typebot today and transform the way you interact with your audience!

Hexabot is a self-hosted platform for building AI agents and business automation workflows that span conversations, actions, memory, and multiple service channels. It's aimed at development teams, agencies, and service operations that need real workflow automation without surrendering control of their data or logic to a third-party cloud.

The core idea is that a workflow can be triggered by chat, a form, a schedule, or an external event, then fan out to LLM calls, APIs, back-office systems, and tools before responding or routing to a human. It sits in the same space as n8n for workflow automation and chatbot platforms like Tiledesk, but combines both into one runtime.

Key capabilities:

• Visual and YAML workflow design – model flows in a graph editor or as portable YAML with schema validation and version control
• Memory and RAG – give workflows managed memory and retrieval-augmented context so agents can recall and reason across sessions
• MCP integration – connect sanctioned external tools through Model Context Protocol integration points
• Multichannel delivery – run assistants across web, messaging, social, and custom channels from one runtime
• Human handoff – conditionals, loops, inbox workflows, and live escalation when automation needs a human call
• Roles and analytics – team access control, usage tracking, and operational history for production deployments
• Multilingual support – serve customers in multiple languages across channels, as Orange demonstrated at scale

Workflows and extensions are built around typed input/output contracts, so actions and LLM bindings stay composable and testable. Developers can build custom channels and actions; support teams manage live interactions and step in centrally.

The codebase is source-available under the Fair Core License with an ALv2 future license. A free Community plan covers one user and ten workflows with no project or integration caps, which is enough to prototype before committing. Paid plans add users, workflow capacity, and license activations without metering on message volume.