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Kloner AI
opencodeNo features have been listed yet.
Kloner AI's answer
Kloner AI is the first platform to define the Visual Agent category. While traditional AI avatars suffer from 3-to-5 second delays, our proprietary GPU-optimized inference engine delivers sub-second latency (<1.1s total response time). This achieves "Neural Fluidity"โa natural, real-time conversational flow that feels like a face-to-face video call rather than a scripted interaction. Additionally, weโve disrupted the industryโs billing model by offering unlimited conversation time based on concurrent capacity, eliminating the "per-minute" billing trap.
Kloner AI's answer
Our primary audience consists of Enterprise Organizations in high-stakes sectors:
Healthcare & Medical: For scalable Standardized Patient (SP) simulations and clinical training. HR & Corporate Training: For bias-free interview practice and difficult conversation role-play. Website & Digital Marketing: For brands looking to replace static text agents with 24/7 interactive Brand Ambassadors. Customer Experience (CX): For teams training agents in de-escalation and high-stress customer service scenarios.
Kloner AI's answer
Kloner AI was founded by Debesh Bar, a technologist and former Co-founder/CTO of MedVR Education (acquired by the NBME). In 2025, when most systems still struggled with 3-second delays, Debesh set out to re-engineer the orchestration pipeline from the ground up. Kloner AI was born from the mission to bridge this "latency gap" and provide enterprises with a visual interface that genuinely represents human intelligence.
Kloner AI's answer
Kloner AI is built on a custom, cloud-native computational pipeline designed for GPU-optimized neural inference. Our stack includes:
Proprietary Rendering Pipeline: Achieving <1.1s total round-trip response time. Next-Gen Video Synthesis: Pixel-by-pixel frame synthesis for hyper-realistic lip-sync. Universal Voice and speech recognition engine Integration: Supporting BYOK (Bring Your Own Key) for ElevenLabs, Cartesia, and Sarvam AI.
Based on our record, opencode seems to be more popular. It has been mentiond 71 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.
What the person above is suggesting: * https://pi.dev/ * https://omp.sh/ Personally I also think that OpenCode is nice, their CLI version is enjoyable and their desktop/web version is mostly okay: * https://opencode.ai/. - Source: Hacker News / 4 days ago
I wired it into OpenCode, an open-source coding harness similar to Claude Code and Codex. I'm using an OpenCode Zen key and a Gemini key, and together, these give me access to multiple SOTA models for free, without touching a separate dashboard for each provider. - Source: dev.to / 14 days ago
I drove it from my coding-agent with a handful of commands. - Source: dev.to / 16 days ago
Https://pi.dev/docs/latest/providers#openai-codex is specific that it "Requires ChatGPT Plus or Pro subscription". https://opencode.ai are also both specific that it's for "Plus/Pro" subscriptions. Is there some link where you saw free tier Codex use in non-official apps is allowed by OpenAI? (I have used the free tier in the official Codex app, but as you said, labs can have different rules for official vs... - Source: Hacker News / 20 days ago
Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / about 2 months ago
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