Hermes
6 storiesHermes is an open-source AI agent developed by Nous Research. Recent coverage includes Nous Research confirming a $90M Series B at a $1.5B valuation, bringing total funding to $158M, and launching Hermes for Businesses. A blogger ran a blind test of five self-hosted agents, Hermes among them, on an M5 Max MacBook Pro with a quantized Qwen 3.8 27B model, while another user reported looping outputs on a Hermes plugin task with LFM2.5-24B-A2B. Google's Home MCP also lists Hermes among compatible third-party agents.
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A user ran a blind test of five self-hosted agents (OpenCode, goose, Atomic Agent, Hermes, OpenClaw) on an M5 Max MacBook Pro, all using the same quantized Qwen 3.8 27B model in llama.cpp across five everyday tasks. All passed contact merging and log error counting; four passed bug fixing and receipt-to-spreadsheet, where two installed a missing Python library unprompted and one failed after asking for permission. Total times ranged from about 10 to 24 minutes.
A Reddit user tested the quantized LFM2.5-24B-A2B model across several local inference frameworks, reporting looping outputs and broken, incomplete code on a Hermes plugin task, and judged its performance poor.
Nous Research, developer of the open-source Hermes agent, confirmed a $90M Series B at a $1.5B valuation, bringing total funding to $158M. It also launched Hermes for Businesses and expects to top $100M in annualized revenue by end-2026.
A Reddit user thanked quant creator Mradermacher for high-quality quantizations that let gemma 4 26b run via LM Studio on two 8GB RTX 4060 cards, reaching about 75 tok/s generation and 1,500 prefill.
A local-LLM user posted on r/LocalLLaMA that they run Qwen 3.8 Flash Next as a driver for Hermes and Pi, asking it to add CUDA_DISABLE_PERF_BOOST=1 to their vLLM service to cut idle server power draw.
Google introduced Home MCP (Model Context Protocol) to let MCP‑compatible third‑party agents—including Claude, Open Claw, Hermes and Antigravity—securely access and control devices and event history in Google Home.
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