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Description
Flue is an innovative agent framework designed for creating robust AI agents utilizing a customizable TypeScript environment. Developed by the creators of Astro, it incorporates a React-like hooks API for constructing agent functionalities, including persistent state, lifecycle events, various models, tools, sandboxes, subagents, skills, and MCP servers within the codebase. These agents maintain state and can be addressed via HTTP, preserving context throughout interactions and adapting their abilities as tasks evolve. Flue ensures that every session is logged in a reliable stream, allowing for the recovery of accepted tasks even after crashes, restarts, or deployments; this means that interrupted sessions can seamlessly resume, and clients can reconnect without needing to start anew. Developers have the flexibility to operate agents locally, through continuous integration, from their own backend systems, or coordinate them using platforms like Cloudflare Workflows and Inngest. The secure sandboxes allow agents to execute commands, modify files, and perform meaningful tasks, while integrated tools facilitate connections to various APIs and data sources. Flue is powered by Pi and offers compatibility with multiple LLM providers, enabling teams to select the models that best suit their needs. Ultimately, this framework empowers developers to create versatile AI agents that can adapt to changing requirements and environments.
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
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Braintrust
Yes
Cloudflare
Yes
Daytona
Yes
Discord
Yes
Docker
Yes
Microsoft Teams
Yes
MongoDB
Yes
Muse Spark
No
Muse Spark 1.2
No
Integrations
Amazon Web Services (AWS)
No
Braintrust
No
Cloudflare
No
Daytona
No
Discord
No
Docker
No
Microsoft Teams
No
MongoDB
No
Muse Spark
Yes
Muse Spark 1.2
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
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
Flue
Founded
2026
Country
United States
Website
flueframework.com
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
meta.ai