replyflow.com vs Kel: Which is better?

replyflow.com is an inbound-email layer for apps: point a domain at it and every reply arrives as clean, threaded, intent-tagged JSON for your webhook. It strips quoted history and signatures at the edge, classifies intent (support, unsubscribe, out-of-office and more), and handles threading and attachments. There's no SMTP to babysit and no DNS rabbit-hole, and it's built for people shipping apps on Lovable, Bolt, v0, Cursor and Replit.

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Kel

Kel is an AI-based assistant embedded in your Command Line Interface (CLI). It is designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of your CLI. Kel is equipped with multiple Languages for Learning Machines (LLMs) support including OpenAI, Anthropic, and Ollama, whilst also supporting OpenAI Assistants. It further allows users to engage in unique interactions such as 'chatting' with their artifacts by uploading their files to the assistant. Developers can personalize their assistant using their own API keys for OpenAI or Anthropic, a feature that might soon extend to other LLMs.

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Key features

replyflow.com

Every reply as clean, threaded, intent-tagged JSON; quoted history and signatures stripped; signed webhooks with retries; Message-ID threading; no SMTP or DNS

Kel

AI capabilities integrated into the CLI for automating tasks and enhancing productivity.
Supports multiple LLMs including OpenAI, Anthropic, and Ollama, with the ability to bring your own API key.
Allows users to upload files and interact with their artifacts through a chat interface.
Free and open-source, enabling community contributions on GitHub.
Configuration through a `config.toml` file for personal settings and LLM selection.

Useful for

replyflow.com

Developers and SaaS builders shipping apps on Lovable, Bolt, v0 or Cursor who need structured inbound email

Kel

Automates repetitive tasks, enhancing productivity and efficiency in the command line interface (CLI).
Supports multiple large language models (LLMs), allowing users to choose the best fit for their needs.
Enables users to upload files and interact with their artifacts through a chat interface, facilitating easier data analysis and insights.
Allows integration of personal API keys for customized usage, providing flexibility in accessing different LLMs.
Free and open source, encouraging community contributions and collaboration on GitHub.

Use cases

replyflow.com

Receive and parse inbound email without SMTP; route tagged replies into workflows; auto-handle unsubscribes and out-of-office; build support inboxes

Kel

Automate repetitive tasks in the command line interface (CLI) using AI capabilities.
Interact with various large language models (LLMs) such as OpenAI, Anthropic, and Ollama for diverse functionalities.
Upload files to the assistant and engage in conversations to extract insights or analyze content.
Configure and use personal API keys for customized interactions with LLMs.
Utilize the OpenAI assistant to analyze documents and obtain insights directly from the CLI.

Price

replyflow.com

Free (1 address, 100 replies/mo, 1,000 API calls); Pro €19/mo (2,000 replies, AI); Scale €49/mo (10,000 replies, auto-reply)

Kel

The application is free and open source.
Users can bring their own API keys for OpenAI and Anthropic.
Other LLM support is coming soon.
There is an option to contact for a support plan.