ChatterMate gives your website an AI support agent that answers customer questions from your own documentation around the clock, and hands the conversation to a human the moment it gets complicated. Feed it PDFs, help pages and URLs, and it chunks and indexes them into a knowledge base that answers with citations instead of guesses. Pick your model from OpenAI, Anthropic Claude, Google Gemini, Mistral, xAI Grok, DeepSeek or Groq with your own key, or point it at a self-hosted Ollama or vLLM endpoint. Every conversation lands in one shared inbox across nine channels, including the website widget, WhatsApp, Instagram, Messenger, Slack and email, where your team can search, filter and reassign. A drag-and-drop workflow builder designs branching flows from AI response, condition and human transfer nodes, so routine questions resolve themselves and hard ones arrive with context. Chats can raise tickets that the AI triages and investigates, writing an auditable root-cause analysis, or open a Jira ticket without leaving the conversation. The native Shopify integration answers order, shipping and product questions from live store data, and customers can attach images, PDFs and documents directly in chat. Theme the widget to your brand, require token authentication for private chats, and connect MCP tools so the agent can look up orders, issue refunds and call your APIs mid-conversation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

NexusDesk is a self-hosted agent platform whose first complete application turns customer support conversations into retrieved answers, tool calls, and confirmed tickets on your own infrastructure. An agent takes a request, retrieves context from your knowledge base, decides what to do, calls business tools, asks a human to confirm consequential actions, executes, records everything, and feeds evaluation, all as one visible loop rather than a black-box chat. The Harness around that loop is the engineering control layer: it governs permissions and execution boundaries, manages agent memory, routes human handoffs, and keeps an audit trail, so autonomy stays inside lines you drew. You configure, publish, and roll back agents, manage documents, chunks, indexes, and published knowledge versions, and connect Chat, Embedding, Rerank, OCR, and speech models through versioned profiles. Business APIs plug in as tools with their own credentials, parameters, and permissions, and support staff can take over a conversation, draft a ticket from it, and confirm follow-up work without leaving the flow. Channels and application APIs with server-sent events expose the same capabilities to your other systems, while execution records, model and tool call logs, and evaluation results show what the agent actually did. One PostgreSQL handles storage, job queues, and cross-process messaging, and one Compose file starts the stack. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Tiledesk lets you build AI-powered conversational agents with a visual drag-and-drop designer, then deploy them simultaneously across web chat, WhatsApp, Telegram, Facebook Messenger, Instagram, email, and Slack without rebuilding per channel. The no-code Design Studio combines LLM-powered conversations with conditional logic, external API calls, and branching dialogue trees that work identically everywhere. Multi-RAG knowledge management separates content into isolated repositories with hybrid search combining traditional full-text retrieval and semantic understanding via Qdrant vector embeddings, enabling accurate answers even when users phrase queries in unexpected ways. LLM integration supports GPT-4, GPT-4o, Anthropic Claude, and any model exposing an OpenAI-compatible API including locally hosted models via Ollama for complete data sovereignty. The human-in-the-loop system provides seamless escalation from AI agents to live support staff with full conversation context preserved, while multi-agent workflows enable complex orchestration where specialized bots collaborate on different aspects of a customer interaction. REST and MQTT APIs power integration with external systems and webhook-triggered automations, and pre-designed templates accelerate common scenarios. Docker Compose deployment starts the full stack including server, dashboard, messaging engine, and widget. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Unleash the power of Chatwoot, the open-source superhero in the world of customer experience! This platform is perfect for businesses craving to connect with their customers across a multitude of channels without breaking the bank. Wave goodbye to the high-and-mighty likes of Intercom, Zendesk, and Salesforce Service Cloud, and say hello to a wallet-friendly powerhouse. Chatwoot turns your agents into customer service ninjas, armed with the latest in workload management, performance tracking reports that refresh themselves (because who has time for that?), and automations that work smarter, not harder. Zap through conversations with lightning-fast responses and manage your social media and email interactions in a single bound. Plus, with Chatwoot, you get to be the Sherlock of customer satisfaction, deducing your CSAT scores on autopilot. All this hosted on RepoCloud, where the cost is as tiny as the effort you'll need to switch over. Get ready to engage, enlighten, and entertain your customers with Chatwoot!

FeedLog gives SaaS teams an AI support agent, a shared inbox, and a feedback-to-roadmap loop in one open-source platform they can host themselves. Customers ask questions inside your product through an embeddable widget, and the agent answers from your help center articles, which you mark as approved knowledge before it can use them. When a question needs a person, the conversation moves into a shared inbox with its full context intact, so customers never repeat themselves and your team replies with email notifications keeping the thread alive. The same widget collects bug reports and feature ideas into feedback boards with posts, voting, comments, and status workflows, while similar-feedback detection finds duplicates and merges fragmented requests before they scatter your priorities. Prioritized work becomes a public roadmap showing what is planned, in progress, and completed, and shipped changes close the loop as changelog entries you can draft with AI from your update notes. Guest access, email and password, Google, GitHub, and SSO sign-in options decide how customers identify themselves, and human support guidance routes billing, account, and privacy requests straight to people. An MCP server connects AI assistants to your boards and articles so agents can query and manage feedback in natural language. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Most AI chat integrations bolt an LLM onto a text box and call it customer support; AgentDesk builds the entire helpdesk around AI agents that handle first responses, escalate to humans when they cannot answer, and track follow-up work through integrated ticket workflows. Each AI agent binds to a specific LLM configuration, one or more knowledge bases, a set of callable Skills, and MCP tool integrations, creating specialized support personas for different product lines or departments. When a customer message arrives, the agent retrieves relevant FAQ entries and document chunks through RAG-powered vector search (Qdrant), then passes retrieved context through an Answerability Gate that determines whether the knowledge base can support a reliable answer; if not, it triggers a fallback response and recommends human handoff instead of hallucinating. Human agents pick up escalated conversations in a dedicated workspace that preserves the full AI conversation history, customer profile, conversation tags, and linked tickets, so they never start from scratch. The ticket system converts conversations into tracked work items with category assignment, status flows, progress notes, and team routing. An admin dashboard provides user management, role-based access control, team scheduling, and automatic conversation assignment rules. Model configuration supports any OpenAI-compatible provider, letting you wire in LLMs, embedding models, and reranking models with per-model context limits, timeout settings, and rate controls. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

LibreDesk unifies live chat, email, and future channel integrations into a single agent inbox where every customer conversation converges regardless of origin, replacing per-seat-priced tools like Zendesk, Intercom, and Freshdesk with a zero-cost alternative that has surpassed 2,000 GitHub stars. Built on a Go backend with a Vue.js 3 and ShadcN UI frontend, it ships as a single binary requiring only PostgreSQL and Redis. The embeddable live chat widget drops onto any website with a snippet, while the AI assistant handles initial customer queries using answers grounded in your knowledge base before escalating to human agents when needed. Agent copilot drafts replies, summarizes conversation threads, and rewrites messages for tone adjustment directly within the inbox interface. Automation rules trigger on conversation events to tag, assign, and route tickets based on configurable conditions, while auto-assignment distributes workload by agent capacity or custom criteria. SLA management tracks response and resolution time targets with breach notifications, and automated CSAT surveys measure satisfaction after conversation closure. Macros save frequently sent responses as reusable templates that simultaneously set tags and assign conversations. Role-based access control provides granular per-action permissions for teams and individual agents, and SSO supports Google, Microsoft, and any OIDC provider. The HTTP/JSON API and webhook system enable custom integrations with external tools. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Add a live support desk to any website with Live Helper Chat, where visitors talk to operators or bots and you own every transcript. Site owners paste a generated embed snippet into any page, and the start-chat fields are customizable. Chats are routed by department, language, location, or custom attributes, wait in a priority queue, and move between agents. Operators, departments, and simultaneous chats are unlimited. Agents watch a visitor type before the message is sent, read pages visited and time on site in the online visitors list, and send proactive invitations to people who linger. Voice, video, and screen sharing run through Jitsi or Agora, and a screenshot shows what the visitor sees. Bot designers chain triggers and actions in a visual builder, call ChatGPT, Gemini, Ollama, Rasa, or any REST API, and hand the conversation to a person when needed. Incoming email becomes tickets beside chats, and extensions connect Telegram, WhatsApp, Facebook Messenger, and Twilio SMS. Staff answer from the browser, a desktop app, a Chrome extension, or iOS and Android apps. Management tools include roles, groups, statistics, transcripts, and an archive, and extensions add two-factor login, LDAP, and single sign-on. It suits banks, healthcare teams, universities, and game studios that must keep chat data in house. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Support teams handling website live chat, email queues, and social messaging channels gain a unified, AI-assisted helpdesk in Bytedesk. Incoming conversations from web widgets, mobile SDKs, WhatsApp, WeChat, and email flow into a single agent workbench equipped with skill-group routing, VIP priority rules, and automatic human handoff. Customer-facing AI agents connect to Ollama, DeepSeek, OpenAI, Qwen, and Zhipu models to answer recurring inquiries using retrieval-augmented generation (RAG) over internal knowledge bases and FAQ libraries, complete with function calling and Model Context Protocol (MCP) tool execution. Complex escalations convert into SLA-tracked tickets with custom approval workflows, or transition directly into browser-based WebRTC video calls, screen sharing sessions, and FreeSwitch voice call center queues. Supervisors track real-time queue depth, bot resolution rates, token usage, automated AI quality scores, and customer satisfaction surveys from the analytics dashboard. Native client SDKs for Web, iOS, Android, Flutter, UniApp, WordPress, and WooCommerce make embedding customizable chat widgets straightforward across any storefront. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With 5,700+ GitHub stars and over a decade of active development since 2012, Zammad is the open-source helpdesk platform that unifies every customer communication channel — email, live chat, telephone, WhatsApp, Telegram, Facebook, SMS, and web forms — into a single ticket management interface backed by PostgreSQL, Elasticsearch, and Redis. Version 7.0 introduced native AI features including automated ticket categorization, priority assignment, and title rewriting via AI agents that plug into triggers, macros, and scheduler jobs, plus one-click AI ticket summaries and a writing assistant — all configurable with your choice of LLM provider: OpenAI, Anthropic, Mistral AI, Azure AI, Ollama for local models, or any custom OpenAI-compatible endpoint with full audit logging of every AI action. Define service level agreements with first response, update, and solution time tracking tied to business hours calendars, with automatic escalation notifications. The knowledge base provides multilingual FAQ management with internal and public visibility. Core workflows enable dynamic ticket masks with conditional field dependencies per group. Text modules let agents insert predefined responses via the double-colon shortcut, while macros execute multi-step actions with one click. Security includes two-factor authentication, S/MIME and PGP email encryption, and single sign-on via SAML or OpenID Connect. Integrations connect to GitHub, GitLab, Microsoft 365, LDAP with nested group support, and Exchange. Deploy via Docker Compose, Kubernetes with the official Helm chart, or DEB/RPM packages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

For teams that answer customers by email, UVdesk is a free, self-hosted helpdesk that keeps every conversation in one shared queue. Customers have three ways in: a connected mailbox, the support portal, or a public ticket link that opens a conversation without a login. Gmail, Yahoo, Outlook, or any IMAP mailbox can feed the queue, with no limit on how many. Agents work in a threaded ticket view, where they reply, forward to a colleague, leave private notes, add collaborators, and pin important messages. Saved replies answer repeat questions, and prepared responses set a status, tag, priority, or assignment from the ticket footer. Administrators route work through groups and teams, and agent privileges decide which tickets each person may see. Workflows run events, conditions, and actions in the background, while spam settings reject senders by address, domain, or IP. A knowledge base of folders, categories, and articles, with revision history and related articles, lets customers find answers without writing in. Customers can rate the support they received, and the Kudos report lists those ratings by agent, group, team, type, priority, customer, or source. Portal branding covers a logo, brand colors, a tag line, and custom CSS and JavaScript. The community edition places no cap on agents, groups, teams, customers, or tickets. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. OSL-3.0 licensed.

With over 3,200 GitHub stars, 900 forks, and backing from the team behind ERPNext, Frappe Helpdesk delivers a modern, streamlined alternative to Zendesk and Freshdesk with unlimited agents, no per-seat pricing, and full source code access under the AGPL-3.0 license. Built on the Frappe Framework with a Python backend and Vue 3 frontend using Frappe UI, the application collects customer inquiries from email, web forms, and the customer portal into a centralized ticketing queue with complete conversation history and threaded replies. Customizable SLA rules define response and resolution timelines by ticket type or team, triggering automatic alerts and escalations when deadlines approach or are missed. Assignment rules route incoming tickets to the appropriate agents based on priority, issue type, or workload balancing, while manual reassignment and transfer between teams remains available at any time. The customer self-service portal lets users submit tickets, track status, and search a knowledge base of published help articles that reduce repetitive support requests. Agents access saved reply templates for consistent, rapid responses to common queries. Custom fields, configurable workflows, and saved views adapt the interface to match each organization's support process. Real-time updates via WebSocket push ticket changes instantly to all connected agents. The PWA-compatible interface provides mobile access without a native app. Frappe Framework compatibility spans versions 15 and 16. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Unlimited agents, unlimited tickets, unlimited mailboxes, forever, on a $4 VPS - FreeScout's pricing inversion is why it became the most popular self-hosted Help Scout alternative, a PHP/Laravel help desk and shared inbox developed from scratch over eight years. The inbox deliberately behaves like Gmail or Outlook, so new support agents need close to zero training. The email-support core is genuinely complete: seamless IMAP/SMTP integration including modern Microsoft Exchange authentication, collision detection that warns when two agents open the same conversation, canned responses, auto-replies, internal notes, open tracking, starring, forwarding, merging, and moving conversations between mailboxes, phone-call logging, push notifications, and an auto-refreshing conversation list - plus screenshot pasting straight from the clipboard into replies. It's 100% mobile-friendly, fully screen-reader accessible, and translated into 28 languages. Beyond the core, an ecosystem of 100+ modules (mostly one-time $12-20 purchases) adds knowledge base, workflows with Gmail-filter-style automation rules, satisfaction ratings, time tracking, tags, custom fields, LDAP, Slack, WhatsApp and Telegram channels, and an API with webhooks - pay only for what your team needs. Web installer and updater included. AGPL-licensed.

Companies with privacy and security concerns about piping customer conversations through Intercom or Zendesk run Papercups - open-source live customer chat. The stack is a deliberate strength: an Elixir/Phoenix API over PostgreSQL, with real-time messaging powered by Phoenix Channels and Presence - the same BEAM foundation trusted by Discord and PagerDuty for fault-tolerant, low-latency messaging. Customers see a customizable chat widget that embeds in any site as an HTML snippet, a React component, or even inside React Native apps, with configurable colors, greetings, and away messages. Your team sees a dashboard for managing conversations - close, assign, and prioritize - with Markdown and emoji in replies. The killer workflow is the reply-channel integration: connect Slack or Mattermost and every customer conversation becomes a synced thread your team answers without leaving the tool they already live in, with two-way message syncing handled by webhooks. Email and SMS channels extend intake beyond the widget, an analytics dashboard tracks communication patterns, and the Storytime feature adds real-time screen sharing to watch users navigate while you help them. A documented API supports fully custom chat UIs in Svelte, Flutter, or Vue. MIT-licensed and GDPR-conscious - customer data stays in your PostgreSQL.

Retrieval-augmented chatbots on your own knowledge base - that is the whole mission of Dialoqbase, an open-source bot-building platform. Feed it content through a broad set of data loaders - web pages and full crawls, sitemaps, PDFs, DOCX, CSV, plain text, GitHub repositories, YouTube videos, and MP3/MP4 audio - and it handles the whole RAG pipeline in one self-contained app: chunking, embedding, vector storage, and LLM querying. The distinguishing architecture choice is PostgreSQL with pgvector for embedding storage and similarity search, which removes the separate vector-database dependency, and Redis-backed Bull queues for ingesting large documents without blocking the API. Model choice is wide open: OpenAI, Anthropic Claude, Google Gemini, Cohere, Fireworks, Hugging Face, local models via Ollama, and any OpenAI-compatible endpoint, with an equally broad list of embedding providers. Finished bots embed on any website with customizable styling or deploy to Telegram, Discord, and WhatsApp, and an API creates and manages bots programmatically. Multi-user support adds registration limits and per-user bot quotas. MIT-licensed and free for commercial use.

Support teams, IT departments, and researchers can put their own documents behind chatbots and AI agents built with MaxKB, an open-source platform that grounds answers in private knowledge. A support lead starts by uploading Markdown, DOCX, PDF, TXT, HTML, XLSX, XLS, or CSV files, or by syncing a web site, and MaxKB splits, vectorizes, and indexes the content on its own. An IT department can place the finished agent in any third-party site or internal tool with no coding, as a full-screen page, a mobile view, or a floating chat window. Researchers get replies that show, and let them download, the knowledge sources behind each answer. Simple agents pick tools, skills, and MCP connections from the question itself, while advanced agents are drawn as workflows with branching, multi-path recall, loops, and variables. Custom scripts, which AI can help write, plus schedules and event triggers extend what an agent can do. The model manager registers local models such as DeepSeek, Llama, and Qwen beside providers such as OpenAI, Claude, and Gemini, across language, embedding, reranking, vision, speech, and image generation. Conversation logs feed analysis for operations. Dozens of ready-made agent templates, knowledge base templates, tools, and skills in the template center and tool store shorten the first build. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Instead of a separate chatbot for each channel, Synaplan runs one self-hosted AI assistant for your team, website visitors, WhatsApp line, and inbox, and shows what every reply cost. In the web app, connect OpenAI, Anthropic, Gemini, Groq, Mistral, xAI, Hugging Face, or local Ollama. Each kind of work gets its own model, from chat and image to video and audio, and every answer carries a Free, Low, Mid, or High cost badge. A planner splits a big request into a task graph and sends each step to the model that fits. On your website, one script tag adds a chat widget, and a human operator can take over any conversation live. On WhatsApp Business and email, the assistant replies on the channel where the question arrived. Behind every channel sits one knowledge base: upload PDFs, Word and Excel files, or images with OCR, and semantic search feeds them into answers. Saved tasks run on demand or on a schedule, approvals pause any action that writes, and watched pages mail you a diff when a URL changes. Connections reach Microsoft 365, Dropbox, Nextcloud, ownCloud, WebDAV, CalDAV, Jira, and Confluence. An MCP server and an Anthropic-compatible endpoint let Claude, Cursor, and Claude Code use your instance. Users and groups share folders and assistants, and admins see usage and health. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Build, deploy, and monitor chatbots and LLM-powered agents on one open-source conversational AI platform: Botpress. Its Studio is a visual development environment: a drag-and-drop canvas arranges conversation logic with nodes for messages, questions, choices, and actions, while a built-in emulator simulates conversations for debugging before anything goes live. Agents ground their answers in a knowledge base assembled from uploaded documents, ingested websites, and past conversations via retrieval-augmented generation, and the LLM layer connects to multiple model providers - GPT-4, Claude, Mistral - with a configurable model strategy. An autonomous engine handles reasoning, tool orchestration, persistent memory across sessions, and sandboxed code execution, and custom code actions in TypeScript extend agents past prebuilt workflows. Over 100 integrations deploy the same bot to WhatsApp, Telegram, Slack, Microsoft Teams, and web chat, and connect it to HubSpot, Zendesk, Zapier, and arbitrary APIs and webhooks. Human handoff, conversation analytics, and quality monitoring cover production operation. Originating in 2017 from a Montreal team, the community edition is developed openly on GitHub.