Basjoo
FreeSelf-hosted, open-source AI customer support with RAG and multi-model agents.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
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Added 7d ago
69/100MonitorIn short
Basjoo — Self-hosted, open-source AI customer support with RAG and multi-model agents. Best for Product teams wanting self-hosted AI support with full data control, Developers needing a customizable chat agent with multi-model flexibility, Operations teams managing a controlled knowledge base and user sessions. Free to use.
Is Basjoo actually worth it?
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Editorial Verdict
Best for
Product teams wanting self-hosted AI support with full data controlDevelopers needing a customizable chat agent with multi-model flexibilityOperations teams managing a controlled knowledge base and user sessionsPrivacy-conscious organizations avoiding third-party SaaS for support
Not ideal for
Non-technical teams looking for a fully managed, turnkey solutionTeams requiring built-in CRM, ticketing, or advanced analyticsUsers needing mobile or desktop native appsThose expecting pre-trained AI models running locally on GPU
Basjoo delivers a robust open-source foundation for AI-powered customer support with strong RAG, multi-model flexibility, and self-hosting. Ideal for product teams comfortable with Docker who need data control. Not a turnkey solution; lacks built-in CRM, ticketing, and native apps. Best for dev teams; non-technical users should consider managed alternatives like Intercom or Zendesk.
Skip Basjoo if Skip Basjoo if you need a fully managed, no-code support solution with built-in ticketing, CRM, or native mobile apps, or if you lack the technical skills to deploy and maintain a self-hosted Docker stack.
Compare with: Basjoo vs Voiceflow, Basjoo vs Yuma AI, Basjoo vs Plain
Last verified: July 2026
Viability Score
69/100
MonitorHow likely is Basjoo to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
40
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- RAG knowledge base from URLs and file uploads (PDF, TXT, CSV, Markdown, DOCX)
- Multi-model LLM agent supporting OpenAI, DeepSeek, Anthropic, Gemini, Jina, SiliconFlow
- Embeddable multilingual chat widget with session persistence
- SSE streaming responses for real-time answer generation
- Role-based access control (super admin, admin, agent)
- SSRF protection and widget origin whitelisting
- Vector search using Qdrant or pgvector
- Docker Compose deployment with FastAPI, Next.js, Redis, nginx
- Admin console for managing knowledge, sessions, users, and site config
- Self-hosted with no GPU required (inference via external APIs)
- API for custom integration
- Supports SQLite or PostgreSQL database
- Open-source MIT license
- Session persistence across page reloads
About Basjoo
FreeIntermediateAPI availableWeb · API
Basjoo is an open-source, self-hosted AI customer support platform that combines a RAG knowledge base, multi-model LLM agent, embeddable chat widget, and admin console. Designed for product teams, developers, and support operations, it ingests content from URLs and file uploads (PDF, TXT, CSV, Markdown, DOCX), builds vector search indexes via Qdrant or pgvector, and routes queries to providers like OpenAI, DeepSeek, Anthropic, Gemini, Jina, and SiliconFlow. Responses stream in real time via SSE. Deployment uses Docker Compose (FastAPI, Next.js, Redis, nginx), no GPU needed. MIT-licensed, with role-based access control, SSRF protection, and widget origin whitelisting. Suitable for privacy-conscious teams wanting full control over their AI support pipeline, but requires technical expertise to deploy and maintain.
Behind the Verdict
Basjoo stands out as a genuinely open-source (MIT) alternative to proprietary AI support tools. Its RAG knowledge base ingests URLs and multiple file types, and the multi-model agent supports diverse LLM providers beyond just OpenAI, including DeepSeek, Anthropic, Gemini, Jina, and SiliconFlow. The embeddable widget offers multilingual chat with session persistence and SSE streaming for real-time answers. The admin console provides role-based access control (super admin, admin, agent) and management of knowledge, sessions, and site config. Security features like SSRF protection and widget origin whitelisting are critical for public exposure. The Docker Compose deployment with FastAPI, Next.js, Redis, and nginx is well-documented and doesn't require GPU. However, self-hosting requires significant technical expertise. There is no built-in CRM or ticketing system, no mobile or desktop apps, and no analytics beyond what you build yourself. Streaming responses depend on external LLM API availability and cost. For dev teams that want control and can manage infrastructure, Basjoo is a powerful choice; for non-technical teams or those needing an all-in-one support platform, managed alternatives are better.
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Real-world workflow fit
Concrete scenarios for the personas Basjoo actually fits — and what changes day-one when you adopt it.
Developer at a B2B SaaS startup
Deploy Basjoo via Docker one-liner, point it to product docs (URLs and PDFs), configure OpenAI API key, embed the widget into the app's frontend.
Outcome: 24/7 AI chatbot answering common support queries, reducing ticket volume by 40% in the first week.
Support operations manager at a mid-size e-commerce company
Ingest help center articles, FAQ PDFs, and return policy CSVs into the RAG knowledge base, assign admin and agent roles, and monitor conversations in the admin console.
Outcome: Faster first-response times and consistent answers across languages, with full audit trail.
Use Cases
- Deploy a self-hosted AI help desk for your SaaS product with full data control.
- Ingest product documentation and FAQs into a searchable chatbot that answers 24/7.
- Provide multilingual customer support using your choice of LLM provider.
- Audit and control all AI responses for compliance in regulated industries.
- Replace proprietary support tools like Intercom with an open-source alternative.
Models Under the Hood
OpenAIDeepSeekAnthropicGeminiJinaSiliconFlow
as of 2026-07-06
Limitations
- Basjoo is self-hosted and requires technical expertise to deploy and maintain.
- It does not include a built-in CRM or ticketing system.
- Streaming responses depend on external LLM API availability and may incur costs from provider usage.
- No mobile or desktop apps.
- No pre-built analytics dashboard.
as of 2026-07-06
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
—
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Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Basjoo tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source (Self-Hosted)
$0
Ideal for
Developers and product teams who want full control: self-host, customize, and avoid per-seat fees.
What this tier adds
Starting tier: free MIT license, no usage limits, all features included – you pay only for your own infrastructure and LLM API usage.
Integrations
Where the pricing makes sense
The company stage and team size where Basjoo's pricing actually pencils out — and where peers do it cheaper.
Basjoo is free (MIT license) — ideal for teams that can self-host and want zero software cost. Much cheaper than Zendesk or Intercom, which cost $20+/agent/month. However, hidden costs like LLM API usage and server hosting can add up. Cheaper than managed AI support tools like Forethought or Kustomer, but requires in-house ops.
Setup time & first value
How long it actually takes to get something useful out of Basjoo — broken out by persona, not the marketing-page minute.
For a developer: 15 minutes to deploy via the Docker one-liner script, then 1-2 hours to configure knowledge base and embed widget. For a non-technical operations manager: expect up to a day, including setting up server, API keys, and content ingestion.
Switching to or from Basjoo
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From Zendesk Help Center or Intercom Articles: export your knowledge base as HTML or PDF and upload or point Basjoo's crawler to your public help center URLs.
Migrating out
- ↗To any standard knowledge base format (Markdown, plain text) if you need to migrate away — your data is stored in your own PostgreSQL/SQLite database.
Resources & Guides
Frequently Asked Questions
Tools that pair well with Basjoo
Common stack mates teams adopt alongside Basjoo, with the specific reason each pairing earns its keep.
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