GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
Spatius
Anam
LiveAvatar by HeyGen
Synthesia.io
Avatar SDK
D-ID
TruGen AI
Hedra
Spatius is next-generation real-time digital human infrastructure that enables AI to communicate through natural, expressive digital characters rather than text and voice alone. Companies can use Spatius across AI education, recruiting interviews, customer service, smart terminals, and companion products to create more engaging and lifelike user experiences.
Powered by its self-developed cloud-edge 3DGS technology, Spatius addresses visual quality, deployability, and cost at the same time. The product runs across web, mobile, and intelligent hardware, remains stable on constrained networks and a wide range of devices, and supports long-duration, high-concurrency interactions at predictable costs.
Spatius currently serves TAL Education and other leading customers in the education, recruiting, smart devices , and AI companion sectors. These products have reached millions of end users and supported tens of millions of digital human conversations, helping customers take real-time digital humans from demos into long-term, large-scale production.
GitHub SpatiusSpatius's answer:
Spatius combines photorealistic 3D Gaussian Splatting avatars with a cloud-edge rendering architecture built specifically for real-time AI interaction. Instead of rendering every frame on cloud GPUs and streaming it as video, Spatius sends lightweight motion data to the userโs device, where the avatar is rendered locally.
This approach addresses visual quality, network reliability, device coverage, and operating cost at the same time. It allows digital humans to remain responsive during long conversations, work across web, mobile, and intelligent hardware, and scale to high-concurrency production environments.
Spatius's answer:
Spatius combines photorealistic 3D Gaussian Splatting avatars with a cloud-edge rendering architecture built specifically for real-time AI interaction. Instead of rendering every frame on cloud GPUs and streaming it as video, Spatius sends lightweight motion data to the userโs device, where the avatar is rendered locally.
This approach addresses visual quality, network reliability, device coverage, and operating cost at the same time. It allows digital humans to remain responsive during long conversations, work across web, mobile, and intelligent hardware, and scale to high-concurrency production environments.
Spatius's answer:
Spatius is built for companies and developers creating AI products that benefit from natural, face-to-face interaction. Its primary users include teams working in AI education, recruiting and interviews, customer service, smart terminals, digital assistants, intelligent devices, and AI companion products.
It is especially well suited to organizations that require long-duration conversations, high concurrency, cross-platform deployment, custom-branded characters, or reliable operation on constrained networks and hardware.
Spatius's answer:
Spatius was created to close the gap between digital human demonstrations and real-world deployment. Many avatar technologies can produce an impressive short demo, but become difficult or expensive to operate when conversations last longer, user numbers grow, or products must run across diverse devices and network environments.
The Spatius team developed its own cloud-edge 3DGS technology to solve these production challenges together. Today, Spatius helps companies turn AI into a more natural and expressive presence, bringing real-time digital humans into education, recruiting, smart devices, customer-facing terminals, and companion applications.
Spatius's answer:
Spatius is primarily built on proprietary 3D Gaussian Splatting technology and a cloud-edge rendering architecture.
Its cloud-based Motion Server converts generated speech into lightweight facial and motion data, while the AvatarKit SDK renders and animates the 3DGS character locally on the client device. Platform technologies include WebGL and WebGPU for web applications, Metal for iOS, and Vulkan for Android. Spatius can receive real-time audio through technologies such as WebSocket, WebRTC, LiveKit, and Agora, and can integrate with third-party ASR, LLM, and TTS providers.
Spatius's answer:
TAL Education is one of Spatiusโs leading customers. Spatius also works with established companies across education, recruiting, smart devices, and AI companion products.
Products powered by Spatius have reached millions of end users and supported tens of millions of digital human conversations, demonstrating the platformโs ability to operate in long-term, large-scale production environments.
Based on our record, GitHub seems to be more popular. It has been mentiond 2474 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.
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 4 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 12 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 12 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 13 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 22 days ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Anam - The Face of AI
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
LiveAvatar by HeyGen - Realtime lifelike interactive avatars for conversational AI
VS Code - Build and debug modern web and cloud applications, by Microsoft
Synthesia.io - Create AI videos by simply typing in text. Make engaging videos for e-learning, customer onboarding, etc. No need for actors, cameras or audio equipment.