DeepSWEAgentica Project
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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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About
Deep reinforcement learning (DRL) combines the advantages of perception associated with deep learning and the power of sequential decision-making associated with reinforcement learning. Learnable’s DRL AI is able to self-produce extensive simulation data that enables continuous self-upgrade and optimal predictive output. Powered by DRL technologies, Learnable has developed three types of AI models with distinct capabilities. Interactive AI learns through interacting with human users. Based on its sophisticated capability to understand various types of human feedback, Interactive AI effectively builds a cognitive system that can comprehend human intention through interactions, even when such interactions are limited. Like the human brain, eXplainable AI (XAI) is able to comprehend the deep logic of events, actions and rewards. Different from other forms of AI, XAI can explain the reasons behind its decisions.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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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Audience
Enterprises looking for an AI solution provider to solve deep and complex reinforcement learning challenges
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAgentica Project
Founded: 2025
United States
agentica-project.com
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Company InformationLearnable.ai
Founded: 2016
United States
learnable.ai/#/
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Integrations
Together AI
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