MaxKB
MaxKB is Fit2Cloud's open-source, self-hosted enterprise agent platform for RAG knowledge bases, visual workflows, and AI assistants on
Choose MaxKB when data residency is non-negotiable and you want RAG, visual workflows, and agents in one self-hosted box instead of stitching three tools together. MCP tool calling plus the open API is the concrete reason IT teams pick it over a plain chatbot builder, and the monthly release train is evidence the project is defended, not just marketed. If your team cannot read Chinese, budget for translation overhead or look at Dify first.
Verified 4d ago · liveness 80/100 · cite: rightaichoice.com/tools/maxkb
- Enterprises that need a self-hosted RAG and agent platform with data residency under their own control
- Chinese organizations embedding AI into WeCom, DingTalk, Feishu, WeChat official accounts, or a mobile app
- Internal helpdesk, smart customer service, and policy Q&A teams replacing manual triage with a knowledge base assistant
- IT teams wiring LLMs into ERP or CRM workflows through MCP tools and an open API
- Solo developers who want a lightweight chatbot without enterprise multi-tenant scaffolding
- Teams that require a fully managed cloud SaaS and won't run or patch their own deployment
- Buyers whose integration wishlist centers on Slack, Teams, or Notion rather than Chinese office suites
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Skip MaxKB if you need English-first documentation and support, or if you refuse to run and patch your own deployment — the v2.10.4 LTS release existed to close multiple security holes.
Self-hosting means you supply the servers and GPUs; running local private models like Llama 3 or Qwen 2 needs GPU capacity you pay for separately.
MaxKB's open-source edition is the cost floor for this category — you pay in infrastructure and patching time rather than licence fees, which suits funded IT teams with spare GPU capacity. The commercial edition is priced for enterprises that need multi-tenant user management, workspaces, and role management, and it competes against Dify and n8n on total cost of ownership rather than sticker price. Solo builders should compare against a hosted chatbot subscription before committing.
In short
MaxKB — MaxKB is Fit2Cloud's open-source, self-hosted enterprise agent platform for RAG knowledge bases, visual workflows, and AI assistants on. Best for Enterprises that need a self-hosted RAG and agent platform with data residency under their own control, Chinese organizations embedding AI into WeCom, DingTalk, Feishu, WeChat official accounts, or a mobile app, Internal helpdesk, smart customer service, and policy Q&A teams replacing manual triage with a knowledge base assistant. Free to use.
What's new in MaxKB
Checked 4 days agoAcross the latest 7 updates: 1 feature update, 1 changelog entry, 2 community discussions and 3 news mentions.
学习笔记｜WorkBuddy+MaxKB：共同构建AI智能体运营闭环
飞致云发布学习笔记，介绍 WorkBuddy 与 MaxKB 组合方案，解决 AI 办公类智能体缺乏知识沉淀和版本化管理的问题。
最佳实践丨MaxKB+RAG-QA专属技能解决RAG落地常见问题
MaxKB 发布 RAG-QA 专属技能最佳实践，针对 RAG 落地中「搜不到」、上下文断裂和缺少全局视角等问题给出方案。
学习笔记丨MaxKB原生工作流实现AI PPT生成
飞致云发布教程，说明如何基于 MaxKB 原生工作流能力生成 PPT。
案例研究丨弋阳县政府「弋心一意」政务服务AI助手
弋阳县政府基于 MaxKB 构建「弋心一意」政务服务 AI 助手，用于政务咨询场景。
案例研究｜东北财经大学构建校园智慧AI助理「小银杏」
东北财经大学基于 MaxKB 搭建校园智慧 AI 助理「小银杏」，用于师生服务场景。
修复多个安全漏洞，MaxKB开源企业级智能体平台v2.10.4 LTS版本发布
MaxKB v2.10.4 LTS 发布，修复多个安全漏洞，官方建议用户升级。
案例研究｜中国农业大学「小鹉哥」助力师生咨询与科研教学
中国农业大学基于 MaxKB 落地「小鹉哥」AI 助手，用于师生咨询与科研教学。
What people actually say about MaxKB — is it worth it?
We scanned public community sources for MaxKB on Aug 27, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is MaxKB? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Open-source RAG knowledge base with multi-format document upload and automatic crawling of online documents
- Automatic text splitting, vectorization, and retrieval-augmented generation to cut hallucination
- Visual workflow engine with a built-in function library for multi-step business logic
- MCP tool calling to connect external systems and services
- Progressive upgrade path from RAG Q&A to Workflow to full Agent
- Self-hosted deployment with full data sovereignty over models and knowledge
- Zero-code embedding into websites, WeCom, DingTalk, Feishu, WeChat official accounts, and mobile apps
- Open API so ERP, CRM, and business systems can call MaxKB for AI review and decision support
- Connect models in a private environment including DeepSeek, Qwen, OpenAI, and Claude
- Direct file and image upload inside conversations
- Multi-tenant user management and resource authorization (enterprise edition)
- Conversation logging and trigger-based automation
- Backup, restore, and migration tooling
- RAG-QA specialty skill targeting retrieval misses and broken context
- Native workflow recipe for AI PPT generation
About MaxKB
MaxKB (Max Knowledge Brain) is Fit2Cloud's open-source enterprise agent platform for organizations that need AI assistants running on infrastructure they control. It sells against three blockers in enterprise AI adoption: high technical barriers, high deployment costs, and long iteration cycles. The three-step path is deliberately short — connect a model in your private environment (DeepSeek, Qwen, OpenAI, Claude), build a dedicated knowledge base with automatic document splitting and vectorization, then climb from basic RAG Q&A to Visual Workflow automation to full Agent use. Documentation ingestion covers multiple file formats plus auto-crawled online docs, and conversations accept direct file and image upload. A visual workflow engine with a built-in function library handles multi-step business logic, MCP tool calling reaches external systems, and an open API lets ERP, CRM, and other line-of-business systems call MaxKB for AI-assisted review and decisions. Zero-code embedding pushes assistants into websites, WeCom, DingTalk, Feishu, WeChat official accounts, and mobile apps. The project reports 20K+ GitHub Stars, 500+ contributors, 1M+ cumulative downloads, and 1,000+ paying customers, with a stated monthly release cadence. Recent activity leans on applied playbooks rather than feature announcements: a RAG-QA specialty skill for the classic "can't find it" and broken-context failures (2026-08-24), a WorkBuddy combination for knowledge retention and versioning of office agents (2026-08-25), and a native-workflow recipe for generating PPT decks (2026-08-12). Public case studies include China Agricultural University's "小鹉哥" assistant, Dongbei University of Finance and Economics' "小银杏" campus assistant, and Yiyang County's government service assistant. Model-neutral by design, it connects local private models alongside commercial APIs. Self-hosting is the default posture, which is why government, education, healthcare, manufacturing, and transit reference
Behind the Verdict
Most self-hosted AI platforms ask you to assemble the stack yourself: a retrieval layer here, a workflow tool there, a chatbot front end somewhere else. MaxKB's pitch is that you don't, and the pricing shape makes the trade-off obvious — the Community edition is open source at $0, and the Enterprise X-Pack is quoted per deal. That means the free tier is genuinely usable for a pilot, and your real cost is the engineering hours you spend running and patching it. Where it earns its keep: Chinese enterprises embedding an assistant into WeCom, DingTalk, Feishu, or a WeChat official account. The zero-code embedding path is the shortest route from knowledge base to a live assistant we've seen in this category, and the open API means your ERP or CRM can call MaxKB for an approval recommendation instead of you building that plumbing. Government, hospital, and university buyers get the private-deployment story they need for procurement. Where it bites: English-first teams. Docs, forum, and vendor support are Chinese-first, so a Western org should price in translation time or pick Dify. Teams whose integration wishlist centers on Slack, Teams, or Notion will find the office-suite coverage pointed the other direction. One operational note worth flagging to whoever owns the deployment: the v2.10.4 LTS release on 2026-07-17 fixed multiple security vulnerabilities, and the maintainer recommended upgrading. If you run an older line, that is your maintenance window. The stated monthly cadence also means you should treat upgrades as a recurring task, not a one-time install. On the feature side, the recent published material is telling. Rather than shipping headline capabilities, Fit2Cloud spent the last quarter writing playbooks — RAG-QA skills to fix retrieval misses and broken
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Real-world workflow fit
Concrete scenarios for the personas MaxKB actually fits — and what changes day-one when you adopt it.
Installs MaxKB, points it at Ollama with a local Qwen 2 model, uploads equipment manuals and safety standards, and embeds the assistant into the internal portal via zero-code embed.
Outcome: Maintenance staff query fault codes in plain language without manuals or data leaving the plant network.
Builds a knowledge base from academic calendars, course catalogs, and policy documents, then publishes it to the website and mobile app, following the same pattern used for campus assistants like China Agricultural University's.
Outcome: Students and faculty self-serve routine questions, cutting response load on administrative staff.
Uses the workflow engine with MCP tool calling to pull contracts from the document system, run RAG-grounded clause checks, and route flagged items to approvers.
Outcome: Contract review cycles shrink and reviewers focus on exceptions instead of first-pass reading.
Use Cases
- Deploy an AI customer service agent for an e-commerce site using RAG on product manuals.
- Automate contract review and approval workflows with a custom agent and document parsing.
- Build an internal knowledge base for HR and finance policies and enable natural language querying.
- Create an academic research assistant that retrieves and summarizes papers from a curated library.
- Integrate a multilingual chatbot into a government website using zero-code embedding.
- Develop a troubleshooting agent for IT helpdesk that pulls solutions from a knowledge base.
- Generate PPT decks through a native MaxKB workflow rather than a separate slide tool.
- Query and dispatch cross-store inventory or operational data through a knowledge base assistant.
Models Under the Hood
as of 2026-10-17
Limitations
- MaxKB is a self-hosted enterprise agent platform whose documentation, changelog and support resources are predominantly in Chinese, which challenges non-Chinese users.
- It defines a progressive path from RAG Q&A to workflow automation to full agents, implying a learning curve for advanced use.
- Self-hosting means you own the patching cadence — the v2.10.4 LTS release fixed multiple security vulnerabilities and the vendor advised upgrading.
as of 2026-10-04
Verification history
We have re-verified MaxKB 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published MaxKB tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Community Edition (Open Source)
$0
Ideal for
IT teams with their own servers or GPUs who want RAG, workflow, and agent capability without a licence fee and can handle their own patching.
What this tier adds
Starting tier: self-hosted deployment with RAG knowledge base, workflow engine, MCP tool calling, and zero-code embedding.
Enterprise Edition (X-Pack)
Custom
Ideal for
Enterprises and public institutions needing multi-tenant user management, workspaces, role-based authorization, and a commercial support channel.
What this tier adds
Adds commercial licence, multi-tenant user management and resource authorization, conversation logging with trigger automation, and backup/restore/migration tooling over the open-source core.
Where the pricing makes sense
The company stage and team size where MaxKB's pricing actually pencils out — and where peers do it cheaper.
MaxKB's open-source edition is the cost floor for this category — you pay in infrastructure and patching time rather than licence fees, which suits funded IT teams with spare GPU capacity. The commercial edition is priced for enterprises that need multi-tenant user management, workspaces, and role management, and it competes against Dify and n8n on total cost of ownership rather than sticker price. Solo builders should compare against a hosted chatbot subscription before committing.
Setup time & first value
How long it actually takes to get something useful out of MaxKB — broken out by persona, not the marketing-page minute.
A first working RAG assistant is a same-day task for a competent IT admin: install, connect a model endpoint (Ollama, DeepSeek, or an OpenAI-compatible API), upload documents, and embed. Workflow and MCP tool integration is a multi-week effort. The vendor's walkthrough for an Ollama offline deployment and GPU-served models is the fastest path for air-gapped teams. Non-Chinese teams should add
Switching to or from MaxKB
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Dify: rebuild knowledge bases and import documents into MaxKB, then recreate orchestration as MaxKB workflows.
- →From RagFlow: port document libraries into MaxKB knowledge bases and re-map retrieval settings.
- →From n8n: keep n8n for general automation and call MaxKB through its open API for RAG and agent steps.
- →From a manual helpdesk or ticket triage process: upload existing FAQ and policy documents as a knowledge base and embed the assistant over the current channel.
- ↗To Dify: export knowledge base documents and rebuild workflow logic in Dify's orchestration canvas.
- ↗To n8n: retain MaxKB as the retrieval layer and move automation branches into n8n workflows via API calls.
- ↗To a managed SaaS assistant: export knowledge base content, then rebuild embeddings and embedding-channel integrations in the hosted product.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “MaxKB”, and we withheld 6: 6 could not be judged, because “MaxKB” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about MaxKB.
Official links
Tools that pair well with MaxKB
Common stack mates teams adopt alongside MaxKB, with the specific reason each pairing earns its keep.
Notable
Notable is a healthcare AI agent platform that automates patient access, revenue cycle, care operations, and contact center workflows.
Relevance AI
Relevance AI builds enterprise AI agent workforces that run autonomously with built-in evals and governance.
Voiceflow
Voiceflow is a visual platform for building AI chat and voice agents that designers and engineers ship together.
Featured Head-to-Head Comparisons
Maxkb vs Locus Robotics
Locus Robotics and MaxKB serve completely different domains. Choose Locus if you need to automate physical warehouse picking with AMRs; choose MaxKB if you want an open-source AI agent platform for knowledge management and workflow automation. They are not direct competitors.
Maxkb vs Presto Voice
For drive-thru QSR chains seeking proven revenue lift and automation, Presto Voice is purpose-built with up to 95% non-intervention rate and upselling engine. For enterprises needing a flexible, open-source AI agent platform with RAG and workflow automation, MaxKB is free and highly customizable. Choose based on your domain: restaurant drive-thru vs. general enterprise knowledge automation.
Maxkb vs Truleo
If you're a law enforcement agency needing to connect siloed data (RMS, jail calls, body cameras) and automate lead generation, Truleo is the specialized, paid solution. If you're an enterprise or institution wanting an open-source, self-hosted AI agent platform with RAG and workflow automation, MaxKB is the free, customizable choice built on recent active development.
Alternatives to MaxKB
View all
Notable
Notable is a healthcare AI agent platform that automates patient access, revenue cycle, care operations, and contact center workflows.
Relevance AI
Relevance AI builds enterprise AI agent workforces that run autonomously with built-in evals and governance.
Frequently Asked Questions
Best-of guides
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