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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

AtomCode is an innovative open-source AI coding assistant that operates directly within the terminal, enabling it to autonomously read and edit files, run commands, search the web, conduct tests, and verify its own work until each task is accomplished. Serving as a multi-model alternative to platforms like Claude Code and Cursor Agent, it is compatible with a range of models including Claude, OpenAI, DeepSeek, GLM, Qwen, Ollama, SiliconFlow, and any other API that aligns with OpenAI's standards. The agent's advanced code graph functionalities facilitate symbol indexing, reference lookup, caller and callee tracing, dependency analysis, and blast-radius analysis, allowing it to navigate extensive codebases with a depth of understanding that transcends simple text searches. Additionally, developers have the capability to attach screenshots and images, with vision preprocessing available to derive valuable context when the primary model lacks direct image support. AtomCode also features seamless integration with AtomGit for managing OAuth logins, repositories, issue tracking, and pull requests, while further enhancing its utility with support for MCP, reusable Skills, plugins, custom slash commands, hooks, and workflows. This comprehensive set of features makes AtomCode a robust tool for developers seeking efficiency and versatility in their coding tasks.

Description

LM Studio Bionic serves as an AI assistant designed to facilitate productive work utilizing open models in areas such as coding, research, document management, and general knowledge tasks. Users have the option to run models flexibly either on their local devices, via LM Link, or through advanced open-source models in the LM Studio Secure Cloud for more resource-intensive operations. The local models rely on the LM Studio runtime, which can be conveniently downloaded directly within the application, while cloud-based requests adhere to a Zero Data Retention policy, ensuring that no data is stored post-processing. For coding purposes, users can link a local folder as a Code project, enabling Bionic to analyze the codebase, clarify complex logic, search for pertinent files, track code behavior, make edits, or troubleshoot problems. The inclusion of inline diffs simplifies the review process as changes are implemented. Furthermore, work projects encompass a variety of formats such as documents, PDFs, presentations, and spreadsheets, empowering Bionic to create new files, organize existing materials, summarize key content, and enhance current projects, thereby streamlining the workflow and boosting overall efficiency. With these capabilities, LM Studio Bionic stands out as a comprehensive tool for modern-day productivity.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AtomGit Yes 
Claude Yes 
Claude Duet Yes 
Claude for Legal Yes 
DeepSeek Yes 
GLM-4.1V Yes 
GLM-5.2 No 
GLM-5.3 No 
Git Yes 
JavaScript No 
Kimi K2.7 Code No 
LM Studio No 
Mistral AI No 
OAuth Yes 
Ollama Yes 
OpenAI Yes 
Python No 
Qwen Yes 
SiliconFlow Yes 
Voxtral No 

Integrations

AtomGit No 
Claude No 
Claude Duet No 
Claude for Legal No 
DeepSeek No 
GLM-4.1V No 
GLM-5.2 Yes 
GLM-5.3 Yes 
Git No 
JavaScript Yes 
Kimi K2.7 Code Yes 
LM Studio Yes 
Mistral AI Yes 
OAuth No 
Ollama No 
OpenAI No 
Python Yes 
Qwen No 
SiliconFlow No 
Voxtral Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
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

AtomGit

Founded

2023

Country

China

Website

atomcode.atomgit.com

Vendor Details

Company Name

LM Studio

Founded

2023

Country

United States

Website

lmstudio.ai/blog/introducing-lm-studio-bionic

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