Open-source Sierra alternatives

Chatwoot is an open-source, self-hostable customer support platform that gathers all customer conversations into one inbox. It is presented as an alternative to Intercom, Zendesk and Salesforce Service Cloud, and aims to give businesses control over their customer data while managing conversations across channels.

The shared inbox takes in website live chat, email, SMS and messaging channels such as Facebook, Instagram, Twitter, WhatsApp, Telegram and Line. An AI agent called Captain automates replies to common questions to reduce agent workload, and a built-in Help Center portal lets you publish articles and FAQs so customers can find answers themselves. Collaboration tools include private notes with mentions, labels, canned responses, auto-assignment based on availability, custom views and filters, a command bar and multi-language support.

Chatwoot is built with Ruby on Rails and Vue and can be run with Docker, with deployment guides on its help center. The repository license is listed as 'Other', so confirm which parts are open source. A hosted cloud version is also available for teams that prefer not to maintain their own server.

Dograh is an open-source platform for building voice AI agents that can make and receive phone calls. It describes itself as a self-hostable alternative to Vapi and Retell, and promises full code transparency with no vendor lock-in. Agents are designed in a visual workflow builder and can be tested quickly before going live.

The platform supports bring-your-own-key setups across speech-to-speech models or a pipeline of language model, speech-to-text and text-to-speech providers, including local models. It is MCP-native, so AI coding assistants can help design and edit agents, and it includes telephony support for inbound and outbound calling, with Asterisk ARI among its topics. It is written in Python and builds on the Pipecat framework.

Dograh is released under the BSD 2-Clause license and can run on premises or in a hosted cloud, with the vendor operating an app site. It suits support, sales and operations teams that want to automate calls while controlling data and provider choice.

Bytedesk is an open-source platform that merges internal team instant messaging with omnichannel customer service. The project positions itself as an alternative to Slack combined with help desk products such as Zendesk, Intercom and HubSpot, and adds AI agents on top.

The feature set covers team IM with organizational structure, roles and permissions; customer service across multiple channels with routing strategies and an agent workbench; a knowledge base with internal docs, help center and FAQ; and ticket management with SLA tracking and reports. AI agents can chat through models such as Ollama, DeepSeek and ZhipuAI, answer from the knowledge base using retrieval, call functions and use MCP. Voice of customer tools, a FreeSwitch-based call center, WebRTC video service and REST APIs with SDKs are also included.

It is written in Java and released under the AGPL-3.0 licence. The quick start uses Docker Compose, which brings up supporting services including Redis, Elasticsearch, MySQL and Artemis alongside the application.

WebWhiz lets you build an AI chatbot that knows your product by training ChatGPT on your website's data. You enter your website URL, WebWhiz fetches and prepares training data, builds the chatbot and gives you a short script tag to embed it on your site. It is aimed at small businesses and support teams that want instant answers for customers without writing code, and the project describes the builder as no-code.

The core features listed are easy integration, data-specific responses, regular data updates, a no-code builder, chatbot customization, fine tuning and offline messages. The FAQ in the README explains that the site is crawled once a month by default, that only public data available to search engines is scanned, and that plans have limits on projects, pages and tokens. When the token limit is exceeded, the chatbot stops generating AI responses and returns a predefined message.

The repository is written in TypeScript, topics include self-hosted, and the code is licensed under AGPL-3.0. A hosted version is available at webwhiz.ai, so you can either use the service or run the code on your own infrastructure.