Muse CodeMeta
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ZenflowZencoder
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Related Products
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About
Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.
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About
Zenflow is an AI orchestration platform built to bring discipline and structure to AI-assisted software development by coordinating multiple AI agents in spec-driven workflows, enforcing planning, implementation, testing, and review steps so output stays aligned with defined requirements rather than ad-hoc prompting. It organizes repeatable processes that run on autopilot or with human review, with built-in automated verification and cross-agent quality gates to reduce errors and “AI slop.” Zenflow enables parallel execution of tasks in isolated environments, provides visibility into agent work via project management views, and supports pre-built workflows for features, bug fixes, and refactors that users can extend or customize. It anchors tasks to a single source of truth such as PRDs or architecture documents to prevent drift and scope creep, and coordinates agent diversity to catch blind spots across model families.
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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, AI developers, coding agent users, platform teams, DevOps teams, ML engineers, research teams, enterprise development teams, and organizations that need terminal coding agents, repository automation, code generation, debugging, validation, persistent subagents, replay-safe execution, long-running coding workflows, and end-to-end software development support
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Audience
Professional software engineers and AI-first engineering teams who want to coordinate AI agents in structured workflows to plan, implement, test, review, and ship reliable code faster and with predictable quality
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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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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$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.
Free Version
Free Trial
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Pricing
$19 per user per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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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 InformationMeta
Founded: 2004
United States
meta.ai
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Company InformationZencoder
Founded: 2023
United States
zencoder.ai/zenflow
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Alternatives |
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Categories |
Categories |
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Integrations
Claude
GitHub
GitLab
Jira
Meta AI
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
OpenAI
Sentry
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Integrations
Claude
GitHub
GitLab
Jira
Meta AI
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
OpenAI
Sentry
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