WeChat Bot

LangBot is an open-source platform for building and operating AI-powered instant-messaging bots. It connects large language models to platforms including Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK, and Matrix, supporting multi-turn conversations, tool calling, multimodal input, streaming output, and agent workflows. The platform includes a built-in retrieval-augmented generation knowledge base, integrations with systems such as Dify, Coze, n8n, Langflow, and Deerflow, and an event-driven plugin system with MCP support. A browser-based management panel configures, manages, and monitors bots, while its multi-pipeline architecture supports separate bot workflows and operational monitoring. LangBot can be run through LangBot Cloud, a one-line uvx launch, Docker Compose, or other deployment methods. It also exposes an MCP endpoint that mirrors its HTTP API for programmatic management of bots, pipelines, plugins, and models.

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.

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.

OpenMausBot is an open-source, local-first chat application for managing a team of AI bots as separate contacts. Each bot can have its own personality, model, conversation thread, computer, and connected applications, using agents launched through locally installed Claude, Codex, or Grok command-line tools and existing user logins. A local harness server on 127.0.0.1 manages agent processes, transcripts, keys, and events in the user's local OpenMausBot data directory. Bots can work through a cloud Linux desktop, an isolated local virtual machine, or—where supported—the host computer. Shell commands, file edits, and questions are routed through a permission broker and shown as approval or response cards. The application includes model selection, bot and conversation management, browser-accessible desktop takeover, and connected applications through Composio, including services such as Gmail, Slack, GitHub, Notion, and Linear. The repository provides desktop distributions for macOS, Windows, and Ubuntu, with Ubuntu Wayland host control disabled according to the README while a stated issue is resolved.

CowAgent is an open-source AI assistant and agent harness developed by LinkAI. It plans complex tasks step by step, runs tools and skills, controls computers and external services, maintains long-term memory and a personal knowledge base, and supports multi-agent teams with separate roles, models, skills, knowledge, and workspaces. Its architecture routes messages from web and messaging channels through an agent core that reasons over available models, tools, skills, memory, and knowledge before returning a response. Memory uses a three-tier structure of conversation context, daily memory, and long-term MEMORY.md, with a nightly Deep Dream process that distills memories; the knowledge base is an automatically curated Markdown wiki with cross-references and a browsable knowledge graph. Built-in tools include file and terminal operations, web fetching and search, scheduling, memory retrieval, vision, and browser automation, while MCP servers can be added through configuration. Skills can be installed from the Skill Hub, GitHub, ClawHub, or URLs, or authored through conversation. CowAgent supports multiple LLM providers and routes chat, vision, image generation, speech, and embedding workloads separately. It can run locally, in Docker, on a server, or through its macOS and Windows desktop client, with a web console for configuration and a command-line interface for service and skill management. The project is licensed under the MIT License and was formerly named chatgpt-on-wechat.