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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.
Description
Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.
API Access
Has API
API Access
Has API
Integrations
GLM-5.2
JavaScript
Kimi K2.7 Code
LM Studio
Meta AI
Mistral AI
Muse Glimmer
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Integrations
GLM-5.2
JavaScript
Kimi K2.7 Code
LM Studio
Meta AI
Mistral AI
Muse Glimmer
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens
Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
LM Studio
Founded
2023
Country
United States
Website
lmstudio.ai/blog/introducing-lm-studio-bionic
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
meta.ai