Kel vs Tracecat: Which is better?

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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Tracecat

Tracecat is an open source, AI-native automation platform specifically designed for security teams. With it, users can build automation workflows, orchestrate alerts, and close cases swiftly. The platform serves as an alternative to services like Tines and XSOAR, providing similar functionality but with the addition of AI-assisted features. Users are able to deploy their first AI-assisted workflow in an estimated time frame of 15 minutes. It features a user-friendly interface accessible via the provided platform link. For further utility and viability, Tracecat is backed by an active community of developers and users around the globe. Support documents and the codebase are readily available on GitHub and their own documentation website. User suggestions and feedback are also encouraged to continuously improve the product. Tracecat offers services while prioritizing data privacy, carefully detailing their privacy policy and terms of services.

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Key features

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.

Tracecat

Open-source security automation platform designed for AI-native security teams.
Enables the creation and customization of agents to automate security workflows and tasks.

Kel vs Tracecat: Which is better?

Key features

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.

Tracecat

Open-source security automation platform designed for AI-native security teams.
Enables the creation and customization of agents to automate security workflows and tasks.

Useful for

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.

Tracecat

Automates security tasks through customizable agents, enhancing efficiency for AI-native security teams.
Facilitates incident response by triaging alerts, isolating endpoints, and managing OAuth app reviews.
Provides a fully customizable case management system to streamline evidence collection and action preparation.
Integrates with over 500 security tools, allowing seamless automation across various platforms.
Supports version control and audit logging for workflows, ensuring transparency and accountability in security operations.

Use cases

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.

Tracecat

Automate security tasks such as phishing triage, endpoint isolation, and OAuth app reviews using customizable agents.
Enhance incident response by correlating alerts with telemetry data and generating actionable cases for SOC analysts.
Facilitate collaboration and knowledge sharing through reusable agent capabilities and modular workflows.
Enable human-in-the-loop approvals for sensitive actions to ensure security and compliance.
Provide comprehensive case management to streamline evidence collection, findings summarization, and action preparation.

Price

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.

Tracecat

Self-Hosted Free Plan: Users can self-host the application at no cost.
Unlimited Workflows: No quotas on workflow creation, allowing for modular and reusable workflows.
Unlimited Workspaces: Each team can have its own separate workspace for staging and production.
Unlimited Cases: Users can open a case for every alert, finding, and investigation without limitations.
Enterprise Edition: Offers fine-grained access controls, open source audit logs, and SOC2 Type II SLAs.