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.

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.

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.