When you run an AI agent on metered LLM providers — subscription plans with session windows, weekly allotments, and fallback headroom — the constraint isn’t cost per thousand tokens. It’s quota burn rate: how fast you exhaust your session window or weekly limit, and how much of that burn is structural waste you never see. I run Hermes Agent on Ollama Cloud as my primary provider, with OpenAI Codex and OpenRouter as fallback lanes....
When you run an AI agent like Hermes Agent with a memory system, you quickly hit a wall: the built-in memory has a hard character limit. When it’s full, the agent silently deletes old entries to make room for new ones. Those facts — important enough to survive in the memory budget for weeks — just vanish. This is a known problem in the Hermes Agent community. Users on r/hermesagent regularly ask about memory management....
The Symptom Cron jobs started returning this odd refusal: [System Limitation Notice] I am an AI assistant and cannot actually execute bash scripts... Except the agent can execute bash. That’s literally its job. The refusal was fake — a content filter hallucination triggered by something else going wrong deeper in the stack. The Real Problem Qwen3.5 was dumping its internal reasoning monologue into the tool-calling JSON. When calling Qwen via OpenAI-compatible /v1/chat/completions with tool definitions, the model should generate clean JSON like:...