Kimi Work

Kimi Work

Moonshot AI
SWE-1.7

SWE-1.7

Cognition
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About

Kimi Work is a desktop AI productivity platform developed by Moonshot AI that acts as an intelligent local agent for knowledge workers. The application connects directly to local files, automates workflows, and performs browser-based tasks through its WebBridge automation capabilities. Users can delegate research, data collection, document generation, and repetitive tasks while Kimi Work executes them autonomously in the background. The platform includes scheduled task automation, allowing workflows, scripts, and AI-driven processes to run automatically at specified times. Kimi Work also supports agent collaboration through its Agent Swarm technology, enabling multiple specialized AI agents to work together on complex projects. By combining local file access, automation, web interaction, and AI-powered productivity tools, Kimi Work helps users streamline research, analysis, and knowledge work activities.

About

SWE-1.7 is Cognition’s frontier software engineering model designed to deliver high intelligence at a lower rollout cost. The model is optimized for long-horizon agentic coding tasks, including debugging, feature implementation, codebase exploration, migrations, terminal workflows, and multilingual software engineering. SWE-1.7 was trained from a Kimi K2.7 base using large-scale reinforcement learning improvements across infrastructure, data quality, training stability, self-compaction, and long-running task execution. It is built to explore codebases thoroughly, probe edge cases, identify hidden requirements, and produce more complete end-to-end solutions. The model is available in Devin across web, desktop, and CLI through Cerebras at very high serving speeds. SWE-1.7 is positioned for developers and engineering teams that need cost-efficient frontier-level coding intelligence for complex real-world software work.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Kimi Work is ideal for knowledge workers, analysts, researchers, finance professionals, business teams, and productivity-focused users seeking an AI-powered desktop assistant for workflow automation, research, and task execution

Audience

Software engineers, AI coding agent builders, engineering teams, DevOps teams, research labs, and companies using Devin that need cost-efficient frontier coding intelligence for debugging, feature development, migrations, terminal tasks, and long-horizon software engineering workflows.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$19/month
Free Version
Free Trial

Pricing

$20/month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • SWE-1.7 is really impressive from a developer’s perspective because it feels focused on actual software engineering, not just generic code completion. I like that it is built for agentic coding workflows where the model needs to understand a repo, make changes, chase bugs, and keep context across multiple steps. The biggest selling point is the cost-performance angle. Cognition is positioning SWE-1.7 as frontier-level intelligence at a much lower cost, which matters a lot if you are using coding agents heavily instead of just asking the occasional question. It also helps that Devin’s docs describe SWE-1.7 Lightning as a faster version with the same intelligence and lower latency, because speed becomes a big deal when an agent is editing, searching, testing, and iterating over and over.

Cons

  • It is still new, so I would want to test it hard on real repos before trusting it blindly. Coding benchmarks and launch claims are useful, but the real test is whether it can handle messy architecture, weird dependencies, incomplete docs, flaky tests, and multi-file changes without getting stuck. I also think developers still need to stay involved. SWE-1.7 may be strong, but agentic coding is not “set it and forget it” yet. You still need code review, tests, security checks, and good prompts to make sure the output is actually production-ready.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Moonshot AI
Founded: 2023
China
www.kimi.com/products/kimi-work

Company Information

Cognition
Founded: 2023
United States
cognition.com

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Categories

Categories

Integrations

Python
C
C++
Dart
Devin
HTML
JavaScript
Kimi
Kimi K2.6
Kimi K2.7 Code
Kubernetes
Lua
Microsoft PowerPoint
Objective-C
R
Rust
Scala
Solidity
XML
YAML

Integrations

Python
C
C++
Dart
Devin
HTML
JavaScript
Kimi
Kimi K2.6
Kimi K2.7 Code
Kubernetes
Lua
Microsoft PowerPoint
Objective-C
R
Rust
Scala
Solidity
XML
YAML
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