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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

OpenFang is an innovative open-source Agent Operating System developed in Rust, designed to deliver a cohesive runtime for the creation, deployment, and oversight of autonomous AI agents at a production level. It features a comprehensive architecture bundled into a single executable, which allows developers to deploy agents that run continuously, construct knowledge graphs, and send updates to a centralized dashboard without the need for ongoing user interaction. Central to OpenFang are its "Hands," which are pre-configured autonomous capability packages that function on predetermined schedules to carry out various tasks, including lead generation, research activities, browser automation, and social media management. The platform offers numerous pre-built agents along with native tools and channel adapters, facilitating seamless operation across various platforms such as Slack, WhatsApp, Discord, and Teams from a unified interface. Engineered with security at its core, OpenFang incorporates multiple layers of defense, including WASM sandboxing, cryptographic signing, taint tracking, and tamper-proof audit trails, ensuring robust protection for users. This comprehensive approach not only enhances the functionality of AI agents but also fosters trust and reliability in their operations.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude
Cursor
Gemini
GitHub Copilot
GitLab Duo
Grok
Groq
Hugging Face
Kimi
Microsoft Teams
OpenAI
OpenCode
OpenRouter
Python
Venice.ai
Vercel AI Gateway
Wafer
ZenMux
blume
vLLM

Integrations

Claude
Cursor
Gemini
GitHub Copilot
GitLab Duo
Grok
Groq
Hugging Face
Kimi
Microsoft Teams
OpenAI
OpenCode
OpenRouter
Python
Venice.ai
Vercel AI Gateway
Wafer
ZenMux
blume
vLLM

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Open source
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

OpenFang

Country

United States

Website

www.openfang.sh/

Vendor Details

Company Name

omp

Country

United States

Website

omp.sh/

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