TypingMind vs Langdock

TypingMind gives you one chat interface for ChatGPT, Claude, Gemini, DeepSeek, and other LLMs while you bring your own API keys. You pay a one-time license fee to TypingMind, then only for the tokens each model provider charges. Chats, folders, agents, and API credentials stay in local browser storage by default, so your conversations are not sent for model training.

Where ChatGPT Plus locks you into OpenAI and caps usage, TypingMind lets you switch models mid-conversation, run multi-model parallel chats, and connect MCP tools, RAG knowledge bases, and custom plugins. Prompt caching can cut token costs up to 90% on supported models. Over 50 pre-built agents cover coding, research, and marketing workflows out of the box.

TypingMind suits power users and teams who already pay for API access and want a richer UI than vendor defaults. More than 20,641 customers use it daily, and a separate TypingMind for Teams product adds admin controls, custom branding, and self-hosting for companies.

Langdock is an enterprise chatbot and AI workspace for rolling out model-agnostic assistants, custom agents, and workflow automation across a whole company from one governed platform. Teams get a shared chat interface, a visual workflow builder, and deployable agents tied to internal data through 57 native integrations and MCP connections. IT and compliance teams stay in control with EU hosting, SSO, SCIM, and central admin controls rather than each department signing up for separate AI tools.

Where most team chatbots stop at a single-model chat window, Langdock bundles chat, agents, workflows, integrations, and a unified API into one adoption stack. Merck runs more than 33,000 monthly active users on a white-labeled instance called myGPT Suite, which points to how Langdock is built for large rollouts rather than small-team experiments. Workflow runs start at 2,500 per month included with chat seats, with higher-volume packages sold separately per workspace.

The platform targets organizations that need GDPR-aligned AI with audit trails, not just quick prompt access. Sales, HR, finance, and operations teams use department-specific agents and workflow templates, while admins pick deployment options from multi-tenant SaaS on Azure EU to on-premise Kubernetes above 5,000 seats.