A Python-based AI tool for analyzing DeFi and yield farming strategies, sharing community insights, and calculating risk scores.
# crypto-defi-yield-farming-agent
A Python-based AI agent for analyzing DeFi and yield farming strategies, sharing community insights, and calculating risk scores, currently, utilizing the DeepSeek model with plans to incorporate other models like DeepSeek and DeepSeek, depending on their strengths and weaknesses. For the most part, I'm just scraping data from the web for things like the Fear and Greed index as well as the AltCoin Season. For getting the price of crypto, I'm still using the free API from Coinmarketcap and Coingecko, however, if the app receives massive adoption I'll have to use the PRO or Paid tier (not cheap!). Hopefully, with more usage, the AI agent will become smart enough to not need some hand-holding (like I'm doing now). I have plans to add more features to the agent, especially the UI at: https://agentyield.streamlit.app/ - things like tracking your yield farm, and portfolio, and giving you suggestions to improve it (much harder to implement but not impossible!).
I will also have it integrate with Twitter and Telegram - like an AI bot where you send it a statement like "Give me a defi or yield farming strategy for {xyzCrypto}, and it will shoot you back a response just like it would in the app. Eventually, this will have to be monetized to continue running - accessing API especially if I start using the other AI models is going to cost a lot, I launched this AI agent and its token on base at virtuals: https://app.virtuals.io/virtuals/17471. Maybe, I'll take the token as a subscription payment from users to cover the ongoing costs of the AI and API subscription.
As for the AI Agent, it's supposed to create defi and yield farming strategies for the Bullish, Bearish, or Neutral market. So the idea is to somehow determine this Bullish, Bearish, and Neutral value from somewhere and I tried using AI to do it, however, it is NOT REAL-TIME, which means I have to come up with my calculation from real-time sources like the VIX, Fear and Greed Index andHAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型