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What is FlowLens?

FlowLens is a cutting-edge debugging and session-recording solution powered by artificial intelligence, aimed at capturing all vital components necessary for precise and context-aware bug analysis, while also allowing AI coding agents to independently address issues. Utilizing a user-friendly browser extension along with an optional MCP server, FlowLens meticulously documents detailed user sessions by recording video of the user interface, tracking network requests, capturing console logs, logging user actions (such as clicks and inputs), and preserving storage states (including cookies and local/session storage), in addition to gathering system information, all organized on a unified timeline. Once a bug is reproduced, FlowLens consolidates this entire context into a single "flow" that can be readily shared via a link. AI coding agents compatible with MCP, including those from top-tier providers, can then access this flow to analyze network interactions, error logs, UI conditions, and user inputs, thereby enabling automatic root cause analysis and suggestions or generation of code fixes. By streamlining this process, FlowLens removes the burdensome tasks of manual replays, the inconvenience of transferring logs, and the requirement for lengthy bug descriptions, significantly boosting productivity and efficiency. Furthermore, FlowLens allows teams to concentrate on more intricate challenges, as the platform optimizes the debugging workflow, enabling developers to harness AI to its fullest potential. This innovative approach not only saves time but also enhances collaboration among team members, fostering a more efficient development environment.

What is DeepSeek Harness?

DeepSeek Harness is an adaptable open-source framework designed to empower AI agents in navigating complex real-world environments by improving their contextual awareness, tool application, and task management capabilities. By leveraging the Cordis plugin architecture, users can select, alter, and reconfigure various functionalities without needing to change the core source code. Each plugin plays a vital role, offering essential components such as models, tools, skills, and session management, while Cordis facilitates the smooth integration of these plugins along with their dependencies, services, and event management. An append-only session log meticulously records details from each execution, capturing system prompts, reasoning mechanisms, tool engagements, outcomes, subagent scheduling, and context modifications. Developers can utilize the Trajectory view to scrutinize these logs, which are organized by source, and can also employ features like resume, fork, search, and replay that work effortlessly with the same event stream. This organized methodology not only improves troubleshooting but also significantly boosts the overall effectiveness of AI development and its subsequent deployment. Additionally, the framework's flexibility ensures that it can evolve alongside advancements in AI technology, making it a robust choice for developers in the field.

Media

Media

Integrations Supported

Claude Code
Cursor
Devin Desktop
Gemini CLI
GitHub Copilot
Model Context Protocol (MCP)
OpenAI Codex
Visual Studio Code

Integrations Supported

ApiGo
DeepSeek
DeepSeek-V4-Flash
DeepSeek-V4-Pro
DeepSeek-V4.1-Flash
DeepSeek-V4.1-Flash-1017
GLM-5.3-Flash

API Availability

Has API

API Availability

Pricing Information

$11 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Magentic AI

Company Location

United Kingdom

Company Website

magentic.ai/

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com/harness/en/

Categories and Features

Debugging

Not specified

Categories and Features

Agentic AI

Not specified

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