Restai
Self-hosted open-source AIaaS platform with RAG, agents, visual logic, and API.
Restai is a remarkably complete self-hosted AI platform—RAG, agents, visual logic, image gen, all in one. Ideal for DevOps-savvy teams that need data control, but expect a steep setup curve. A solid LangChain alternative if you want an integrated UI and API out of the box.
- Organizations wanting a self-hosted AI stack with full data control
- Developers building multi-project AI applications with RAG, agents, and visual logic
- Teams needing white-label AI solutions for clients with custom branding
- Enterprises requiring RBAC, SSO, TOTP 2FA, audit logging, and budget caps
- Non-technical users seeking a fully managed cloud AI service with no setup
- Users who need no-code solutions without any infrastructure maintenance
- Those requiring only a single LLM provider without multi-provider flexibility
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In short
Restai — Self-hosted open-source AIaaS platform with RAG, agents, visual logic, and API. Best for Organizations wanting a self-hosted AI stack with full data control, Developers building multi-project AI applications with RAG, agents, and visual logic, Teams needing white-label AI solutions for clients with custom branding. Free to use.
Viability Score
How likely is Restai 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 →Key Features
- Self-hosted AI as a Service platform
- Multi-project support: RAG, Agents, Blocks, App Builder, Inference
- RAG with natural-language-to-SQL and auto-sync (S3, Confluence, SharePoint, Google Drive)
- Zero-shot ReAct agents with MCP tool support (HTTP/SSE/stdio)
- Visual Blockly-based logic builder (no LLM required)
- OpenAI-compatible REST API (chat, images, audio transcription)
- Built-in Web UI with analytics dashboard (tokens, cost, latency)
- Prompt versioning with history comparison and restore
- Evaluation framework with DeepEval metrics (relevancy, faithfulness, correctness)
- Enterprise security: RBAC, OAuth/LDAP/OIDC, TOTP 2FA, audit logging
- Rate limiting and per-project budget caps
- White-label branding (custom logos, colors, app names per team)
- Image and audio generation via dynamically loaded generators (Stable Diffusion, Flux, DALL-E, etc.)
- Embeddable chat widget with real-time streaming and customizable UI
- WordPress plugin (content gen, SEO, translation, comment moderation)
About Restai
Restai is an open-source (Apache 2.0) AI-as-a-Service platform built for self-hosting. It offers a production-ready REST API and a full Web UI covering multiple project types: RAG with natural-language-to-SQL and auto-sync from S3, Confluence, SharePoint, and Google Drive; zero-shot ReAct agents with MCP tool support; a visual Blockly-based logic builder; an App builder; and direct LLM inference. The platform integrates with 11+ LLM providers (including Ollama, vLLM, OpenAI, Anthropic, Gemini, Groq, Grok, LiteLLM, Azure, AWS Bedrock, and any OpenAI-compatible endpoint) and supports five vector stores (ChromaDB, PGVector, Weaviate, Pinecone). Restai targets organizations and developers who want to run their own AI stack while maintaining full control over infrastructure and data. It includes user management, RBAC, OAuth/LDAP/OIDC, TOTP 2FA, audit logging, rate limiting, and budget caps. Built-in analytics track token usage, cost, and latency, while an evaluation framework with DeepEval metrics (answer relevancy, faithfulness, correctness) helps measure quality. Key features include prompt versioning, white-label branding, team-based access, MCP protocol support for extensibility, and a Block IDE for visual logic without LLM involvement. Image and audio generation are available through dynamically loaded generators, and a live chat widget can be embedded via a script tag. A WordPress plugin provides deep integration with content generation, SEO, translation, and more. Compared to cloud-only AI platforms, Restai offers full data sovereignty and customization but requires technical expertise to deploy and maintain. It's a strong alternative to paid solutions like LangChain or LlamaIndex for teams that need an all-in-one self-hosted stack.
Behind the Verdict
Restai does something rare: it bundles RAG, agents, visual logic, image generation, and an app builder into one self-hosted package with a Web UI and API. That breadth is its biggest draw—you don't need to stitch together LangChain, ChromaDB, and a separate frontend. For teams with Docker and database skills, it's a turnkey alternative to cloud AI services. We'd reach for this when data sovereignty is non-negotiable—regulated industries, internal tools with sensitive documents, or client-facing white-label solutions. The built-in RBAC, OAuth, TOTP 2FA, audit logging, and budget caps cover enterprise compliance requirements out of the box. The MCP tool support and Blockly IDE also make it extensible beyond basic chatbots. Where it bites: setup and maintenance. You need to run a server with Docker and a database, manage upgrades, and handle scalability yourself. Non-technical users will struggle. The agent framework is limited to zero-shot ReAct—no multi-step reasoning, planning, or memory beyond chat context. Teams needing advanced agentic workflows may find it restrictive. Compared to LangChain, Restai gives you an integrated UI and API but less flexibility for custom agent chains. Compared to cloud AIaaS like OpenAI's Assistants API, you get full control but no managed scaling. Best for teams that have ops chops and want a single platform to serve multiple AI projects.
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Use Cases
- Deploy a self-hosted RAG system with automatic document syncing from cloud storage.
- Build agentic workflows using MCP tools and zero-shot ReAct agents.
- Create visual logic pipelines with no LLM required using Block IDE.
- Monitor and optimize LLM costs with built-in analytics and token tracking.
- Offer white-labeled AI chat widgets on client websites with custom branding.
- Evaluate and compare prompt versions using built-in evaluation metrics.
Models Under the Hood
Limitations
- Restai is a self-hosted platform, so users must manage their own infrastructure and updates.
- There is no official cloud-hosted version, and the free community edition may lack dedicated support.
- The platform's extensive features require a learning curve, and some integrations (like MCP servers) may need additional configuration.
- Pricing details for any premium tiers or enterprise services were not available on the scraped pages.
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.
Tools that pair well with Restai
Common stack mates teams adopt alongside Restai, with the specific reason each pairing earns its keep.
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