Chatwoot

LibreDesk is an open-source, self-hosted omnichannel customer support desk distributed as a single binary. It combines live-chat and email conversations in one inbox, provides an embeddable website chat widget, and supports searchable multilingual help-center content. Its AI assistant answers live-chat questions using the knowledge base and hands conversations to a human when it cannot help; an agent copilot drafts replies, summarizes conversations, and retrieves knowledge-base answers. The system also provides event-based automations, capacity- or criteria-based assignment, SLA tracking, custom roles and permissions, CSAT surveys, analytics, macros, custom attributes, SSO through Google, Microsoft, or OIDC, HTTP/JSON APIs, webhooks, activity logs, and conversation search. It can be deployed through Railway or Docker, with PostgreSQL and Redis provisioned or configured for the deployment.

DeskcommCRM is an open-source, self-hosted CRM and AI sales operating system for businesses that sell through WhatsApp and other chat channels. It combines a multi-tenant CRM and sales pipeline with inbox, Kanban pipelines, contacts, team governance, audit logs, LGPD features, webhooks, automations, scheduling, and human takeover capabilities, and supports WhatsApp through WAHA QR connections or the official Meta Cloud API. Its AI agents use tenant-specific RAG, organizational memory, executable skills, intent routing, sentiment analysis, follow-ups, and audited handoff to human attendants. Agents can operate CRM records such as leads and funnel stages, while the CRM exposes an internal MCP interface for agent operations. Tenants can receive leads through public webhook endpoints and process event-driven QUANDO/SE/ENTÃO rules through an event-log queue drained by scheduled workers. The application is built with Next.js, TypeScript, and Supabase/Postgres.

AstrBot is an open-source all-in-one AI agent chatbot platform and development framework that connects instant-messaging platforms with LLM services, plugins, multimodal features, MCP, skills, knowledge bases, persona settings, and automatic context compression. It supports platforms including QQ, Telegram, WeCom, Feishu, DingTalk, Slack, Discord, LINE, and others, and can connect to services such as OpenAI-compatible APIs, Anthropic, Gemini, Ollama, LM Studio, Dify, Coze, and Alibaba Cloud Bailian. Its plugin system offers one-click installation of more than 1,000 plugins, while its agent sandbox isolates code and shell execution and supports session-level resource reuse. AstrBot provides a WebUI and web ChatUI with agent sandbox and web-search support, and can be deployed with uv, Docker or Docker Compose, desktop applications, or other documented deployment methods.

WeChat Bot is an open-source IM agent and command-line tool based on Wechaty. It connects WeChat QR-code logins, Lark events, Telegram's Bot API, and WhatsApp Cloud API to AI services including ChatGPT, DeepSeek, Ollama, Claude, Pi, and other configured providers for message replies and analysis. The project routes received messages through a pipeline that captures WeChat messages locally in JSONL, sends them to a selected model or agent, and posts the response back to the IM channel. Its `wb wx` commands use OpenCLI wx-cli to access local WeChat chats, contacts, group members, favorites, and cached Moments; `wb stats` and `wb analyze` provide local statistics or AI-assisted group and friend analysis. Replies can be restricted with contact and group allowlists, prefixes, and group-mention rules, and non-text messages are not automatically sent to the reply pipeline. The repository is a Node.js project requiring Node.js 18 or later and can be installed with npm or run in Docker. It is licensed under the MIT License. The README warns that WeChat Web protocols can trigger account warnings or bans and recommends narrow allowlists and usage scopes.

LibreChat is an open-source, self-hosted AI chat platform that provides a ChatGPT-inspired interface for connecting to major AI providers and custom OpenAI-compatible endpoints. It supports model switching, multimodal file interactions, web search, speech-to-text and text-to-speech, image generation, conversation search, presets, branching, resumable streams, and a sandboxed Code Interpreter for languages including Python, JavaScript/TypeScript, Go, C/C++, Java, PHP, Rust, and Fortran. Its agent system supports no-code custom assistants, community-shared agents, MCP servers, tools, file search, code execution, reusable SKILL.md instruction bundles, subagents, and an Agent Management API. Agents can optionally use attached workspaces to inspect, search, edit, and run commands in bounded environments. The platform also provides generative UI artifacts, including React, HTML, and Mermaid content, plus custom actions and integrations with providers such as Anthropic, AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, Ollama, Groq, Mistral, OpenRouter, and others. LibreChat includes multi-user authentication through OAuth2, LDAP, and email login; browser-based administration of users, groups, roles, and configuration; role-based permissions; observability through OpenTelemetry and Langfuse; Redis-backed synchronization for scaled deployments; and Docker Compose deployment options. It is built in public and intended for local or cloud self-hosting.