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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.
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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.
Based on our record, Google Veo seems to be more popular. It has been mentiond 6 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.
Google's DeepMind Veo page lists Veo 3.1 as the state-of-the-art model. The Gemini API video docs confirm:. - Source: dev.to / 3 months ago
Deepmind.google/models/veo is Google's official Veo product page. On May 12 it features Veo 3.1 prominently with the tagline "Video, meet audio. Our latest video generation model, designed to empower filmmakers and storytellers.". - Source: dev.to / 3 months ago
Maybe I'm misunderstanding, but it seems like you're just talking about AI inpainting. That's like one of the first things people did with image diffusion technology. NVIDIA published a research paper on it back in 2018: https://arxiv.org/abs/1804.07723 Inpainting is harder on videos than on images, but there are plenty of models that can do it. Google's Veo 3 can remove objects from videos:... - Source: Hacker News / 10 months ago
First unveiled at Google I/O 2025, people around the world have already generated tens of millions of high-quality videos with Veo 3 (along with some new fun and interesting video trends). It is our first video model to incorporate high-fidelity video outputs and native audio, first with text-to-video and soon with image-to-video. - Source: dev.to / about 1 year ago
Among the leading models available today, Veo 3, Kling Pro, and Pixverse 4.5 bring something unique to the table, but how do they compare? - Source: dev.to / about 1 year ago
Sora - Creating video from text. Sora is an AI model that can create realistic and imaginative scenes from text instructions.
KLING AI - Next-Generation Al Creative Studio
Pollo.ai - Unbounded AI video generator that visualizes your creativity
HeyGen - Create videos from text in minutes with AI-generated avatars and voices.
Pika - 100% ESM. A new kind of package registry that does more for you. Write once, run on any platform.
Sora Video AI - Text to Video AI
