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Refly.AI

Agentic workspace that blends human insight with AI execution

Refly.AI provides a multi‑threaded, multimodal environment where teams can orchestrate AI agents, integrate dozens of models, and manage knowledge bases for rapid prototyping, research, and content creation.

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Overview

Overview

Refly.AI is a multi‑threaded, agentic workspace that lets teams combine human expertise with AI execution. It offers a parallel conversation architecture, a unified interface for more than a dozen large language models, and multimodal processing of documents, images, and code. Built‑in skill modules provide web‑wide search, vector‑based retrieval, and AI‑assisted content generation, while the knowledge‑base engine creates semantic graphs for fast, contextual answers.

Deployment & Extensibility

The platform can be self‑hosted using a single Docker‑compose file or deployed to a Kubernetes cluster with ready‑made manifests, requiring only a 1‑core CPU and 2 GB RAM. Its modular design supports plug‑in development, custom agents, and integration with external APIs, making it suitable for rapid prototyping, research workflows, and enterprise‑grade automation. Whether accessed through Refly Cloud for zero‑config use or run on‑premise for full data control, Refly.AI provides transparent, controllable AI collaboration.

Highlights

Multi‑threaded conversation system for parallel AI workflows
Unified integration of 13+ LLMs with hybrid scheduling
AI‑powered skill suite including web search, RAG, and smart rewriting
One‑click content capture with automatic citation and knowledge‑base linking

Pros

  • Flexible model selection and hybrid execution
  • Rich multimodal file and image support
  • Self‑hostable via Docker or Kubernetes with minimal requirements
  • Extensible knowledge base and plugin architecture

Considerations

  • Minimum 2 GB RAM may be limiting on low‑end devices
  • Full feature set has a learning curve for new users
  • Limited pre‑built third‑party plugins at launch
  • Enterprise‑grade features require contacting sales

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Fit guide

Great for

  • Teams building AI‑augmented workflows and prototypes
  • Researchers needing fast literature synthesis and citation
  • Product designers who want multimodal content generation
  • Organizations that require on‑premise control of AI data

Not ideal when

  • Users looking for a turnkey SaaS without self‑hosting
  • Projects constrained to <2 GB memory environments
  • Teams that depend on extensive ready‑made integrations not yet available
  • Non‑technical users uncomfortable with Docker/Kubernetes setup

How teams use it

AI‑assisted market research report

Generate a structured report by ingesting PDFs, web sources, and producing citations in minutes.

Rapid product prototype documentation

Create design specs, diagrams, and markdown docs using multimodal inputs and code artifact generation.

Automated knowledge base for internal wiki

Capture content from GitHub, Medium, and internal docs, classify, and enable semantic search.

Complex operational workflow automation

Orchestrate multiple AI agents to process data, trigger actions, and visualize results via the website engine.

Tech snapshot

TypeScript97%
SCSS2%
CSS1%
JavaScript1%
Shell1%
HTML1%

Tags

artifactsaiworkflowqwencontent-creationai-memorymanusraggeminideepseek-r1canvasanthropicn8nagentartifactvibe-workflow

Frequently asked questions

What are the minimum system requirements?

CPU ≥ 1 core and Memory ≥ 2 GB.

How can I deploy Refly.AI?

Use the Docker compose file in `deploy/docker` or the Kubernetes manifests in `deploy/kubernetes`.

Which language models are supported?

Over 13 models including DeepSeek R1, Claude 3.5 Sonnet, Google Gemini 2.0, OpenAI O3‑mini, and more via a unified interface.

Is there a hosted version?

Yes, Refly Cloud offers zero‑configuration access with free GPT‑4o‑mini usage and trial access to larger models.

How does the citation system work?

It captures source metadata during content capture, links it to generated text, and provides one‑click citation generation with source tracking.

Project at a glance

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