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View All on GitHubPersonal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.
Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memory + a knowledge base, calibrated on real-pond data. Streamlit or Telegram; pluggable Ollama / NVIDIA / HF.