Evolvable Colony Framework, integrating the most promising expansion ideas. This transforms the system from a simple evolutionary simulation into a production-ready platform for evolving sophisticated LLM-powered agents with multi-objective optimization, quality-diversity archives, persistent memory, distributed execution, and online learning.
We'll implement a comprehensive upgrade to the Evolvable Colony Framework, integrating the most promising expansion ideas. This transforms the system from a simple evolutionary simulation into a production-ready platform for evolving sophisticated LLM-powered agents with multi-objective optimization, quality-diversity archives, persistent memory, distributed execution, and online learning. --- ## 🧬 Evolvable Colony v2.0 — Production Evolution Platform ### Architecture Overview ``` ┌─────────────────────────────────────────────────────────────────────────────────────┐ │ Evolvable Colony v2.0 │ ├─────────────────┬─────────────────┬─────────────────┬────────────────────────────────┤ │ Evolution │ Agent Core │ Memory System │ Deployment & Scaling │ │ Engine │ │ │ │ ├─────────────────┼─────────────────┼─────────────────┼────────────────────────────────┤ │ • Multi-Obj │ • LLM-Powered │ • Episodic │ • Distributed Evolution │ │ Pareto Opt │ • Prompt Genome │ • Semantic │ • Checkpoint/Resume │ │ • MAP-Elites │ • Tool-Using │ • Consolidation │ • Online Learning │ │ Archive │ • Multi-Turn │ • Forgetting │ • Benchmark Suite │ │ • Novelty Search│ • Personality │ • RAG │ • Web Dashboard │ └─────────────────┴─────────────────┴─────────────────┴────────────────────────────────┘ ``` --- ## 📁 Project Structure (Additions) ``` evolvable_colony/ ├── colony/ │ ├── evolution/ │ │ ├── multi_objective.py │ │ ├── map_elites.py │ │ ├── novelty.py │ │ └── distributed.py │ ├── agents/ │ │ ├── llm_agent.py │ │ ├── prompt_genome.py │ │ └── tools.py │ ├── memory/ │ │ ├── episodic.py │ │ ├── semantic.py │ │ ├── consolidation.py │ │ └── rag.py │ ├── environment/ │
HAL 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