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What is SyncStaff?

SYNCStaff is a collaborative platform tailored for engineering teams that oversee multiple AI coding agents within a unified repository. It aligns agents towards a shared goal while providing the necessary project context, effectively coordinating workflows, tracking tasks and dependencies, and documenting decisions for future human review. Agents are required to announce their intended changes and request temporary file access before making any adjustments; this protocol enables SYNCStaff to identify overlapping endeavors, allowing agents to adapt their approaches preemptively to avoid conflicts. In addition, the platform manages the release of completed changes, identifies potential obstacles, and flags issues that need human resolution. By supporting agent interaction through the Model Context Protocol, SYNCStaff offers the choice of self-hosting or a managed workspace, thus providing teams with valuable flexibility. This tool empowers teams to seamlessly integrate coding agents across various individuals, tools, and models, while ensuring that the source code repository and local indexes remain on the agents' machines. Users benefit from access to a no-cost self-hosted version and a hosted option that includes a 14-day trial, making it a compelling choice for teams aiming to optimize their coding processes. SYNCStaff ultimately strives to enhance collaboration and boost productivity within engineering teams engaged in AI-assisted coding initiatives while fostering an environment of continuous improvement and adaptation.

What is Muse Code?

Muse Code is Meta’s terminal-based AI coding agent built to take on complex software engineering tasks across large repositories. The agent is powered by Muse Spark 1.2 and is designed to plan code changes, write implementation code, validate results, and support end-to-end developer workflows. Muse Code can coordinate multiple persistent subagents for each task, helping solve difficult problems faster and with less manual intervention. Its architecture uses a simple agent loop enhanced by async background agents that remain active for the full session instead of being spawned only for individual steps. These background agents reduce repeated information gathering, carry out next actions, and communicate back to the main agent when useful. Muse Code’s runtime uses a local event log where model calls, tool runs, approvals, and edits are continuously appended. This event log serves as a single source of truth, making the runtime replay-exact and restart-safe if a crash or interruption occurs. The design allows Muse Code to handle long-running development work without losing progress or context. Muse Code includes bundled skills such as /plan for approval-gated task planning, /grill for stress-testing plans, and /goal for working toward successful completion of a defined objective. Example workflows include interpreting a video input, understanding the requested output, and producing a rich software experience such as a vacation home marketing and booking page. By combining terminal execution, autonomous planning, persistent background agents, replay-safe runtime design, bundled skills, and Muse Spark 1.2 model support, Muse Code helps developers complete ambitious coding tasks with greater reliability.

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Integrations Supported

Claude Code
Gemini CLI
Model Context Protocol (MCP)
OpenAI Codex
OpenCode
Slack
Telegram

Integrations Supported

Meta AI
Muse Glimmer
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Muse Spark 1.3
Muse Wonder
Muse Wonder Full

API Availability

Has API

API Availability

Has API

Pricing Information

$0
The self-hosted MCP client and server are free, with no seat or agent limits. The hosted Developer plan starts at $59 per seat per month, billed monthly, with two active agent slots per seat. Seats 4–9 cost $54 each per month and seats 10–19 cost $49 each per month. Additional capacity packs add five concurrent agent slots for $49 per month. Published prices include applicable taxes. The managed workspace trial lasts 14 days and includes three seats and five active agents; no credit card is required. Enterprise plans for 20 or more seats are custom-priced.
Free Trial Offered?

Pricing Information

$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

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

SYNCStaff

Company Location

United States

Company Website

www.syncstaff.ai/

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai

Categories and Features

AI Coding Agents

Not specified

Categories and Features

AI Coding Agents

Not specified

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