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Emisar.dev
Emisar is the last MCP server youโll need to install: a Zero-Trust gateway connecting Claude, Cursor, ChatGPT, and any AI agent to your infrastructure. One server handles production access, debugging, alerts, and internal operations, with new capabilities added as packs. Agents can inspect real production state, debug what they shipped, and help resolve incidents. Safe reads run automatically; policy allows, blocks, or routes risky actions for approval. No SSH keys, VPNs, remote shells, or standing shell access โ and every call is recorded.
PlayCanvas
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PlayCanvas is recommended for indie developers, small to medium-sized teams, and educational purposes. It is especially suited for those who are looking to create web-based 3D content quickly and efficiently without needing extensive proprietary tools. It's also beneficial for projects that require real-time collaborative development environments.
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Emisar.dev's answer:
emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.
Emisar.dev's answer:
The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.
Emisar.dev's answer:
Emisar.dev's answer:
Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.
Emisar.dev's answer:
emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [
Emisar.dev's answer:
Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.
As someone who recently started game development, finding the right engine has always been very difficult, It was till Chat-GPT (yes the Ai) recommended me playcanvas, it's Ui was challenging and its learning curve was steep, but at the end of the day it felt rewarding to understand and achieve something. So my final verdict, if you want to make 3D games, not go through the hassle of unity or work anywhere anytime, go for playcanvas.
Based on our record, PlayCanvas seems to be more popular. It has been mentiond 30 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
BabylonJS and the OP's own Aframe [1] seem to have similar licenses, similar number of Github stars and forks, although Aframe seems newer and more game / VR focused. How do Babylon, Aframe, Three.js, and PlayCanvas [2] compare from those that have used them? IIUC, PlayCanvas is the most mature, featureful, and performant, but it's commercial. Babylon is the featureful 3D engine, whereas Three.js is fairly raw.... - Source: Hacker News / about 1 year ago
For some reason that I cannot understand in my case the calculated shading normals are pixelated. Compared to playcanvas.com (probably a forward renderer), mine is like utter shit. Source: about 3 years ago
PlayCanvas has been using WordPress for 12 years now. Generally speaking, it's been fine. However, after much consideration, we have migrated away to Jekyll + GitHub Pages. I thought our experience might be of interest to other WordPress users (if only to confirm why you wouldn't consider switching): Https://blog.playcanvas.com/moving-from-wordpress-to-jekyll-a-case-study/ Interested to hear peoples' thoughts... Source: about 3 years ago
It's just a cool tech demo that pushes CSS to its limits, but it's completely useless if you want to create usable 3d models. If you want to model in the browser, you can check out vectary, playcanvas, or spline. Source: about 3 years ago
The model in the video has no spheres, which is why the performance is decent. In any case, I agree with you for the most part, I'm just lazy and didn't expect anyone to actually want to use this for serious modelling. You should check out playcanvas or vectary if you are serious about in-browser 3D modelling. Source: about 3 years ago
Unity - The multiplatform game creation tools for everyone.
Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.
Blender - Blender is the open source, cross platform suite of tools for 3D creation.
Godot Engine - Feature-packed 2D and 3D open source game engine.
CryENGINE - The most powerful game development platform is now available to everyone. Full engine source code.
Stencyl - Make iOS (iPhone/iPad), Android, Flash, Windows & Mac games without code using Stencyl.