AI Agents1 month ago
Multi-Agent System Editor
Visual editor for configuring multi-agent LLM systems with local inference.
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets
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Visual editor for configuring multi-agent LLM systems with local inference.
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets
Mask sensitive data before sending to any LLM, then restore it in the reply.
@velumprivacy · X
สร้างรูปสินค้า โลโก้แบรนด์ และรูปโปรไฟล์โซเชียลด้วย AI ลบพื้นหลัง แก้ภาพเบลอ
@Samaibaramee99 · X
สร้าง-แก้ รูปภาพ Check out what I just built with Lovable!
Check which LLMs run on your GPU given your hardware specs and budget.
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
Build and grow your community with channels, conversations, hubs, and events. Create a space where your people connect and engage.
@GammsApp · X
@launch_llama https://t.co/YsRI7cTzqm https://t.co/EXOr5fEkp0
@melonrice383235 · X
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
@launch_llama An movie platform https://t.co/WnbiDZbHH8 https://t.co/LWyGNRUUFD
@Kelvinwz5lma · X
An movie platform
Upload documents and chat with an AI assistant to ask questions about your files in English or Telugu.
@ajkbossp · X
Check out what I just built with Lovable!
Visualize hardware performance metrics while running LLM inference on your system.
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
