Dust vs LangChain

Dust connects company knowledge, tools, and teams so organizations can build, share, and run AI agents across workflows. People and agents coordinate through shared knowledge, tools, conversations, notifications, and human review. Dust lists 70+ connectors, including Slack, Notion, Google Drive, GitHub, Salesforce, and Zendesk, and supports building agents with more than 20 frontier and open-source models from providers such as OpenAI, Anthropic, Google, and Mistral. Agents can run multi-agent workflows on schedules and triggers, with reusable skills, tools, and memory. Its Chrome extension provides access to company knowledge and AI assistance from the current tab. Dust says it is SOC 2 Type II certified and GDPR compliant, and enables HIPAA compliance. Its Free plan includes 500 credits for lifetime use. Pro costs €24 a month billed yearly, and Max costs €120 a month billed yearly. Enterprise is listed without a price and includes unlimited connectors and MCP servers, workspace-pooled credits, SCIM, audit logs, single-tenant deployment, and priority support with an SLA.

LangChain is a free, MIT-licensed open-source framework for building agents with models and tools. Its create_agent harness combines a model, tools, prompt and middleware, with templates for common uses and a ReAct pattern. Middleware can add human approval, conversation compression, sensitive-data removal, guardrails, retries, routing and custom tool policies. Agents run on LangGraph’s durable runtime, which supports persistence, rewind, checkpointing and human-in-the-loop workflows. LangChain documents more than 1,000 integrations across chat and embedding models, tools, toolkits, document loaders and vector stores. Standard interfaces for chat models and embeddings support switching providers with minimal code changes. Documentation covers Python and JavaScript/TypeScript. LangSmith adds tracing, debugging and output evaluation. The framework supports API and self-hosted use. LangChain was started in 2023 and is headquartered in San Francisco.