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About

Muse Spark 1.2 is Meta’s coding-focused model update designed to power Muse Code and improve software engineering workflows. The model is built for code generation, complex debugging, codebase understanding, long-horizon development tasks, and end-to-end developer workflows. Muse Spark 1.2 was co-trained with Muse Code to improve performance inside the terminal coding agent environment. It supports planning, goal conditioning, context compaction, subagent coordination, and iterative coding workflows across large repositories. The model was trained with expanded coding compute, diverse development environments, self-improvement loops, and long-running engineering tasks. Built for AI developers and software teams, Muse Spark 1.2 helps agents plan, write, validate, debug, and optimize code with greater autonomy.

About

omp is an open source AI coding agent and development harness that provides developers with a powerful local environment for AI-assisted engineering. It connects AI models directly to IDE capabilities, debugging tools, code execution, language servers, browser automation, memory, and dozens of built-in development tools. It supports more than 40 AI providers while allowing developers to use a single interface across cloud and local language models. omp enhances coding performance with features such as intelligent code editing, parallel subagents, persistent execution environments, integrated debugging, and advanced code review workflows. It also includes collaborative sessions, local memory, workflow automation, browser control, and GitHub integration to streamline complex software development tasks. Built with a native Rust engine and designed for Windows, macOS, and Linux, omp helps developers build, debug, and maintain software.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, software engineers, coding agent builders, research teams, platform teams, DevOps teams, ML engineers, enterprise development teams, and organizations that need code generation, debugging, codebase understanding, long-horizon coding, terminal agents, subagent coordination, repository automation, kernel optimization, and end-to-end developer workflow support

Audience

Developers seeking a terminal-first coding agent with IDE-level debugging, code intelligence, memory, planning, and multi-agent capabilities

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • Muse Spark 1.2 looks like a big step up for developers because it is clearly aimed at real software engineering work, not just casual code suggestions. The fact that it powers Muse Code makes it feel more practical right away, especially for terminal-based workflows where the model can help write code, validate changes, and work through bigger tasks. I like that Meta seems to be pushing hard into agentic coding. Earlier Muse Spark versions were already positioned around multimodal reasoning, tool use, and visual coding, and 1.2 feels like the more developer-focused evolution of that direction. The cost angle is interesting too. Reports mention Muse Code having multiple pricing tiers, including a cheaper option, which could matter a lot for developers running coding agents frequently instead of only using AI once in a while.

Cons

  • It is still new and tied to a beta coding agent, so I would not trust it blindly yet. I would want to test it on real repos, messy bugs, failing tests, multi-file edits, and longer agent runs before making it part of my daily stack. Meta also still has to prove the developer experience. A strong model is one thing, but coding agents live or die on tooling, speed, reliability, permissions, logs, diffs, and how well they recover when something breaks.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
meta.ai

Company Information

omp
United States
omp.sh/

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Block

Categories

Categories

Integrations

Go
JavaScript
OpenAI Codex
OpenCode
Python
Baidu Qianfan
Bash
Claude
Claude Agent SDK
Facebook
Git
HTML
Java
Kotlin
Kubernetes
LiteLLM
OpenAI Agents SDK
Qwen
Rust
Wafer

Integrations

Go
JavaScript
OpenAI Codex
OpenCode
Python
Baidu Qianfan
Bash
Claude
Claude Agent SDK
Facebook
Git
HTML
Java
Kotlin
Kubernetes
LiteLLM
OpenAI Agents SDK
Qwen
Rust
Wafer
Claim Muse Spark 1.2 and update features and information
Claim Muse Spark 1.2 and update features and information
Claim omp and update features and information
Claim omp and update features and information