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Description
Apodex 1.1 serves as an online platform designed for tackling intricate research and professional projects, shifting the focus of reasoning from reports to the actual execution of tasks. This tool is engineered to guide users through a comprehensive workflow, incorporating file management, search capabilities, code execution, tool interactions, and coordination among Agent Teams from inception to completion. Users can upload various resources such as research papers, datasets, spreadsheets, images, and code snippets, allowing the system to read and manipulate these files effectively. It autonomously writes and executes analysis scripts, evaluates interim results, adjusts its strategy as needed, and connects conclusions back to the original data and materials. Apodex 1.1 is adept at maintaining the progress of tasks throughout extensive workflows, accommodating new feedback during the execution phase, recovering from any setbacks, and ensuring that the plan, steps, artifacts, dependencies, exceptions, and subsequent actions are all clearly visible. Additionally, in Deep Discover mode, an asynchronous Agent Team divides work into parallel subtasks, consistently channeling valuable insights back into the primary task, ultimately enhancing the efficiency and effectiveness of the research process. This innovative approach not only streamlines workflows but also fosters a deeper understanding of the data being utilized.
Description
SWE-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.
API Access
Has API
Yes
API Access
Has API
No
Integrations
.NET
No
Cerebras
No
HTML
No
JSON
No
JavaScript
No
Kotlin
No
Kubernetes
No
PHP
No
PowerShell
No
Python
No
Integrations
.NET
Yes
Cerebras
Yes
HTML
Yes
JSON
Yes
JavaScript
Yes
Kotlin
Yes
Kubernetes
Yes
PHP
Yes
PowerShell
Yes
Python
Yes
Pricing Details
$25 per month
Free Trial
No
Free Version
Yes
Pricing Details
$20/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apodex
Country
United States
Website
www.apodex.com/blog/apodex-1.1-scaling-agentic-intelligence-for-complex-work
Vendor Details
Company Name
Cognition
Founded
2023
Country
United States
Website
cognition.com