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ease
features
design

Description

ChipAgents is a platform for agentic AI chip design and verification that integrates intelligent AI agents into electronic design automation processes, enabling hardware engineers to create and validate semiconductor designs more efficiently, reliably, and with reduced manual input. By utilizing sophisticated generative and agent-based AI, it can interpret design specifications, convert natural language or PDF documents into RTL (Register-Transfer Level) code, auto-complete Verilog/SystemVerilog code, generate testbenches, analyze simulation results, and identify bugs within extensive codebases, significantly shortening verification cycles and speeding up the time-to-market. The agents of ChipAgents seamlessly operate within the existing code editors or EDA workflows of engineers, automating everyday tasks like coverage gap analysis, waveform debugging, functional verification, and root-cause analysis of failed tests. By integrating design logic, logs, and waveform data into organized insights, these agents liberate teams from monotonous manual tasks, ultimately enhancing productivity. Additionally, this innovative approach not only streamlines the design process but also fosters collaboration among team members, leading to improved outcomes in semiconductor development.

Description

Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CSS
Continue
Dart
Facebook Messenger
Hermes Agent
Java
Kubernetes
Lua
Meta AI
Meta Model API
Model Context Protocol (MCP)
Muse Image
Muse Spark
OpenAI Codex
PHP
PowerShell
R
Rust
Solidity
XML

Integrations

CSS
Continue
Dart
Facebook Messenger
Hermes Agent
Java
Kubernetes
Lua
Meta AI
Meta Model API
Model Context Protocol (MCP)
Muse Image
Muse Spark
OpenAI Codex
PHP
PowerShell
R
Rust
Solidity
XML

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

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

ChipAgents

Founded

2024

Country

United States

Website

chipagents.ai/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

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