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AutoPilot Hermes Agents: AGI-Driven CFO & CEO Automation
What It Does
AutoPilot Hermes Agents act like virtual CFO and CEO assistants. They help manage decisions, automate workflows, and guide business operations using AI-driven insights.
Watch it in action: https://youtube.com/shorts/ReFzTM3aLTo
How We Built It
We combined Hermes and OpenClaw AI agent frameworks with a practical setup using repurposed laptops and DL380 servers. This approach kept costs low while maintaining strong performance.
Challenges We Faced
Integrating multiple AI agents into a stable workflow
Managing system performance on reused hardware
Ensuring reliable communication between agents
What We’re Proud Of
A working multi-agent system that simulates executive roles
Cost-efficient infrastructure using existing hardware
Real-world automation that delivers usable outcomes
What We Learned
Simplicity beats complexity in agent design
Hardware reuse is viable with proper optimization
Clear task separation improves agent performance
What’s Next
We aim to enhance decision-making accuracy, scale the system, and expand real-world business use cases for AI-driven executive agents.
Join our community: https://t.me/+GJBm5Dzj-udlMmJl
Explore more: https://1secret2success.snowiepoke.com/wordpress/2026/05/06/subscribe-openclaw-hermes-ai-agents-top-up-telegram-more-10-top-up/
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stevenc_bot 🦞 OpenClaw 2026.5.3-1 (2eae30e)
🧠 Model: openai-codex/gpt-5.5 · 🔑 oauth (openai-codex:[email protected] ([email protected]))
🔄 Fallbacks: openrouter/openrouter/auto, lmstudio/deepseek-r1-distill-qwen-7b, openrouter/deepseek/deepseek-chat:free, openrouter/huggingfaceh4/zephyr-7b-beta:free, ollama/kimi-k2.5:cloud, openai-codex/gpt-3.2-codex, ollama/llama2, openrouter/openrouter/auto
🧮 Tokens: 37k in / 3.4k out
🗄️ Cache: 45% hit · 30k cached, 0 new
📚 Context: 31k/272k (11%) · 🧹 Compactions: 0
🧵 Session: agent:main:telegram:group:-100XXXXXX672 • updated just now
⚙️ Execution: direct · Runtime: OpenClaw Pi Default · Think: medium · Text: low
🔊 Voice: always · provider=openai · limit=1500 · summary=on
👥 Activation: always · 🪢 Queue: steer (depth 0)
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Job ID: bc867c36f6cd (daily_model_status_pm_group) – Target: Telegram group “steven_cheong_bot, health fitness grp XXXXX (group)” – Content: The same daily‑model‑status summary (PM header, 0 % session usage, 13 % weekly usage, full free‑model list, and reminder to re‑verify model names). – Schedule: Daily at 19:00 (7 PM) – next automatic run will be 2026‑05‑12 19:00 +08:00. The message has been delivered to the Telegram group you specified. The job remains active and will keep posting the update every evening at 7 PM.
8 responses to “Subscribe Openclaw , Hermes AI Agents , Top up telegram more 10/top up + QWEN AUTOPilot as CEO, CFO, CMO group”
http://1secret2success.snowiepoke.com/wordpress/2026/05/06/subscribe-openclaw-hermes-ai-agents-top-up-telegram-more-10-top-up/
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hermes ai advance agent
Hermes Agent is an open‑source, self‑improving AI agent framework from Nous Research that runs locally or with cloud LLMs and is designed to learn skills and preferences over time [1][2][3].
## What Hermes Agent is
– Hermes is an “advanced agent” framework that sits on top of LLMs (like Hermes 3, Qwen, etc.) and orchestrates tools, memory, and sub‑agents so you get a persistent, evolving assistant instead of a stateless chat bot [1][2][3].
– It is provider‑agnostic: you can connect it to OpenRouter, Anthropic, local runtimes like Ollama or llama.cpp, and run it on NVIDIA RTX PCs, workstations, or servers such as DGX Spark [2][4].
## Key advanced features
– Self‑evolving skills: Hermes can generate and refine its own “skills” (functions/workflows) when it sees repeated patterns or gets feedback, creating a continuous improvement loop [2][3].
– Persistent memory: it stores cross‑session memory using FTS5 + LLM summarization and a user‑modeling layer (“Honcho”) to remember your preferences, workflows, and domain specifics across sessions and environments [3].
– Contained sub‑agents: it spins up short‑lived, isolated sub‑agents for sub‑tasks, keeping context small and organized, which is especially useful with smaller local models and limited context windows [2].
## Why people call it “advanced”
– It focuses on reliability: Nous curates and stress‑tests tools and skills so that even large (30B+) local models can run stable, long‑lived agents with less debugging than many DIY frameworks [2].
– Benchmarks and developer reports show that using the same base model, Hermes often delivers better task performance than simpler wrappers because its orchestration layer handles planning, memory, and skill reuse more intelligently [2][3].
## Typical use cases
– Personal AI “copilot” that remembers your projects, scripts, and configs across sessions and can automate repeated SAP Basis or infra workflows by turning them into reusable skills [3][5].
– Local, privacy‑preserving assistants on RTX hardware for developers and power users who want on‑device agents with long‑term memory and custom tools (CLI, file system, APIs) [2][6][5].
If you tell me your target setup (GPU/CPU, preferred runtime like Ollama or LM Studio, and main use cases), I can map a concrete Hermes Agent setup plan tailored to your ..
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ID API Key Description Created Cost Status Actions
353644 sk-ws-H.IRIELL.****FLI2AuUmi3h6IG8 Freetierclawqwen2 2026-06-13 08:09:05
Active
228786
sk-9****59da
Hermes 2026-05-26 11:27:17
Active
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