
Open-source enterprise agent platform for RAG, workflow automation, and MCP tool calling.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
MaxKB — Open-source enterprise agent platform for RAG, workflow automation, and MCP tool calling. Best for Enterprises needing a customizable AI agent platform, Organizations building internal knowledge bases and smart customer service, IT teams wanting to integrate LLMs into existing workflows with minimal coding. Free to use.
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A robust, open-source agent platform with strong RAG and workflow capabilities, backed by an active Chinese developer community. Ideal for enterprises already in the Fit2Cloud ecosystem or those willing to invest in self-hosted deployment.
Compare with: MaxKB vs AutoGen Studio, MaxKB vs Instabase, MaxKB vs Agent.ai
Last verified: July 2026
Across the latest 6 updates: 6 changelog entries.
Bug fix: Resolved error when adding reranker model from Alibaba Cloud Bailian.
Fixed multiple issues: Doubao image generation model error, log export crash, condition handling in decision node, Chinese username login, and i18n description.
Fixed LDAP user login error (X-Pack).
Password encryption on login; fixed upload error, DB connection close, missing asker in logs, thinking style, API permission bypass.
Improved KB retrieval performance; direct file/image upload; fixed web KB links, search in segments, function node parameters, node connection, AI reply in MCP, form drag, PostgreSQL 15.14 upgrade.
Security fix CVE-2025-53928; fixed multiple issues in KB, function library, Q&A page, app display, MCP config, DeepSeek-R1 streaming.
How likely is MaxKB to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →MaxKB (Max Knowledge Brain) is an open-source enterprise-grade agent platform designed to lower the barrier to AI adoption. It enables organizations to quickly integrate major large language models, build custom knowledge bases with retrieval-augmented generation (RAG), and automate complex business processes through a visual workflow engine. The platform supports both simple and advanced agent creation, with built-in tools, MCP tool calling, and function libraries. Targeted at enterprises and institutions, MaxKB offers a progressive upgrade path from basic Q&A (RAG) to workflow automation and full agent capabilities. It is used in industries like finance, healthcare, education, transportation, and government—examples include中信建投证券, 中国农业大学, 华南医院, and 深圳地铁. Key features include zero-code embedding into third-party systems, support for local private models (Llama 3, Qwen 2) and public APIs (DeepSeek, OpenAI, Anthropic, Gemini, etc.), document ingestion with automatic chunking and vectorization, and a flexible workflow editor. The platform is built for both technical and non-technical users, with a focus on rapid deployment and iterative improvement. MaxKB is developed by Fit2Cloud (飞致云) and is available as a free open-source product. It has gained over 1,000 daily installs since launch. The project is actively maintained with frequent updates.
MaxKB is a compelling choice for Chinese enterprises looking to adopt LLMs without building from scratch. Its strengths lie in the breadth of supported models, the visual workflow editor, and the zero-code embedding—making it accessible to teams with limited AI expertise. However, the heavy focus on the Chinese market means documentation, community, and case studies are mostly in Chinese. International teams may find the language barrier challenging. Additionally, the lack of a hosted cloud tier requires users to manage their own infrastructure. Despite these caveats, for organizations within its target niche, MaxKB offers a well-integrated, open-source platform that can scale from simple Q&A to complex agent automation.
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