Heym vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension |  Heym |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 54 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#Open Source#GitHub#No-Code | #Developer Tools#Open Source#Privacy#OpenAI Day |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Heym
Heym is a source-available platform designed for building, executing, and managing agentic AI systems directly on your own infrastructure. It enables teams to construct complex multi-agent workflows visually while retaining full sovereignty over their models, data, and credentials.
With Heym, users can seamlessly connect external data sources and tools, integrate specialized coding agents such as Codex and OpenCode, and insert human-in-the-loop approval stages at critical operational junctions. This visual approach allows both technical and non-technical stakeholders to collaborate effectively when designing intelligent agent pipelines.
To maintain operational confidence, Heym features robust built-in observability tools. Users can inspect execution traces, monitor costs, analyze response latency, and run performance evaluations for every execution. Completed workflows can be deployed flexibly as web portals, standard APIs, or Model Context Protocol (MCP) tools.
Pros of Heym
- Source-available software that can be self-hosted on your own infrastructure
- Visual workflow builder for constructing multi-agent systems
- Built-in observability including traces, cost tracking, latency metrics, and evaluations
- Flexible deployment methods as portals, APIs, or MCP tools
- Supports human-in-the-loop approvals and integrations with coding agents like Codex and OpenCode
Cons of Heym
- Requires technical setup and maintenance for self-hosting on private infrastructure
- Fewer managed cloud convenience features compared to fully hosted SaaS alternatives
Frequently Asked Questions
What is Heym?
Heym is a source-available platform for building, running, and monitoring multi-agent AI workflows on your own infrastructure.
Can I self-host Heym?
Yes, Heym is built to be self-hosted, allowing you to use your own infrastructure, custom AI models, and local credentials.
How can workflows created in Heym be deployed?
Workflows built with Heym can be published and shipped as web portals, APIs, or Model Context Protocol (MCP) tools.
Does Heym include execution tracking and observability?
Yes, Heym provides built-in observability features including execution traces, latency monitoring, cost tracking, and performance evals.
Does Heym support human-in-the-loop workflows?
Yes, Heym allows you to insert human approval steps directly into multi-agent workflows where oversight is required.
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.