DeepSWEAgentica Project
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Related Products
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DeepSWE:
About
DeepSWE is a fully open source, state-of-the-art coding agent built on top of the Qwen3-32B foundation model and trained exclusively via reinforcement learning (RL), without supervised finetuning or distillation from proprietary models. It is developed using rLLM, Agentica’s open source RL framework for language agents. DeepSWE operates as an agent; it interacts with a simulated development environment (via the R2E-Gym environment) using a suite of tools (file editor, search, shell-execution, submit/finish), enabling it to navigate codebases, edit multiple files, compile/run tests, and iteratively produce patches or complete engineering tasks. DeepSWE exhibits emergent behaviors beyond simple code generation; when presented with bugs or feature requests, the agent reasons about edge cases, seeks existing tests in the repository, proposes patches, writes extra tests for regressions, and dynamically adjusts its “thinking” effort.
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DeepSeek R1:
About
DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.
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DeepSWE:
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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DeepSeek R1:
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Supported
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DeepSWE:
Audience
Software engineers, researchers, and developers seeking a solution to assist with real-world coding tasks such as bug-fixing, pull-request automation, and multi-file code edits
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DeepSeek R1:
Audience
Researchers, developers, and organizations seeking advanced, open-source reasoning models for complex tasks like mathematics, programming, and AI-driven problem-solving
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DeepSWE:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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DeepSeek R1:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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DeepSWE:
API
Offers API
Not Supported
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DeepSeek R1:
API
Offers API
Supported
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DeepSWE:
Screenshots and Videos |
DeepSeek R1:
Screenshots and Videos |
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DeepSWE:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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DeepSeek R1:
Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
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DeepSWE:
Reviews/
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DeepSeek R1:
Reviews/
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DeepSeek R1:
Pros & Cons from Real UsersPros
Cons
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DeepSWE:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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DeepSeek R1:
Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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DeepSWE:
Company InformationAgentica Project
Founded: 2025
United States
agentica-project.com
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DeepSeek R1:
Company InformationDeepSeek
Founded: 2023
China
www.deepseek.com
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DeepSWE:
Alternatives |
DeepSeek R1:
Alternatives |
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DeepSWE:
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DeepSeek R1:
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DeepSWE:
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DeepSeek R1:
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DeepSWE:
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DeepSeek R1:
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DeepSWE:
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DeepSeek R1:
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DeepSWE:
Categories |
DeepSeek R1:
Categories |
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DeepSWE:
Integrations
01.AI
Not Supported
Amazon Bedrock
Not Supported
Baseten
Not Supported
Database Mart
Not Supported
Decompute Blackbird
Not Supported
DeepSeek
Not Supported
Elixir
Not Supported
Intel Tiber AI Cloud
Not Supported
LLMrefs
Not Supported
Microsoft Foundry Models
Not Supported
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DeepSeek R1:
Integrations
01.AI
Supported
Amazon Bedrock
Supported
Baseten
Supported
Database Mart
Supported
Decompute Blackbird
Supported
DeepSeek
Supported
Elixir
Supported
Intel Tiber AI Cloud
Supported
LLMrefs
Supported
Microsoft Foundry Models
Supported
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DeepSWE:
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DeepSeek R1:
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