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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Deep Code is a Visual Studio Code extension that integrates a comprehensive AI coding assistant within your sidebar, enhancing the development experience. This tool transcends basic chat functions to effectively manage real-world development processes. Notable features include project-level sessions that maintain context over several days, along with the ability to read and write files and execute commands to facilitate code comprehension, documentation, and ongoing tasks. The Skills system enables users to formalize team workflows into reusable functions. Additionally, it accommodates OpenAI-compatible models for versatile integration options. This extension is crafted for developers seeking an AI partner that not only responds to inquiries but also collaborates throughout the entire software development lifecycle, all without the need to exit VS Code. Its design empowers teams to streamline their coding processes and enhance productivity.

Description

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Anthropic No 
Cerebras No 
Claude No 
Cursor No 
GLM Coding Plan No 
Gemini CLI No 
Git No 
Go No 
Google Antigravity No 
JavaScript No 
OpenAI No 
OpenAI Codex No 
OpenCode No 
Python No 
Together AI No 
Venice.ai No 
Waycar No 
Zed No 
blume No 
vLLM No 

Integrations

Anthropic Yes 
Cerebras Yes 
Claude Yes 
Cursor Yes 
GLM Coding Plan Yes 
Gemini CLI Yes 
Git Yes 
Go Yes 
Google Antigravity Yes 
JavaScript Yes 
OpenAI Yes 
OpenAI Codex Yes 
OpenCode Yes 
Python Yes 
Together AI Yes 
Venice.ai Yes 
Waycar Yes 
Zed Yes 
blume Yes 
vLLM Yes 

Pricing Details

$0
Free Trial Yes 
Free Version No 

Pricing Details

Free
Open source
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 No 
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

Chongqing Parsec Technology Co., Ltd.

Founded

2013

Country

China

Website

deepcode.vegamo.cn/

Vendor Details

Company Name

omp

Country

United States

Website

omp.sh/

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