chat-memory

😼 AI-участница Telegram-чата с памятью, локальными мемами, реакциями и собственным характером

A personality-driven Rimuru Tempest AI Telegram bot with persistent identity, evolving relationships, and multilingual conversations.

Export AI coding-assistant chat sessions into a portable, tool-agnostic format so you can carry context from one tool or IDE into another.

HermesClaw Zero‑Config Sidecar is a lightweight local vector‑memory engine for Hermes and OpenClaw. It runs as a zero‑config sidecar, providing fast embeddings, persistent memory, and instant retrieval for agents and MCP tools. Built for speed, simplicity, and full local control.

跨会话共享聊天记忆插件 · 让 AstrBot 记住所有用户与它聊过的内容

CyberSoft Gen AI 01 - 3

One install, three MCPs: graph chat memory + semantic code search + backend. Benchmarked with claude-haiku-4-5: -19% tokens & 23× faster on memory-recall questions.

Spring AI Chat Memory demo — In-Memory & JDBC (MySQL) storage with Ollama LLM, MessageChatMemoryAdvisor, and SimpleLoggerAdvisor

Spring AI chat service with OpenAI: stateful memory in PostgreSQL and RAG over a pgvector store

Built a hands-on Spring AI project using Spring Boot and Ollama to explore Generative AI integration in backend applications. Implemented chat completion, prompt engineering, embeddings, vector search, RAG, chat memory, multimodal AI, and structured AI responses.

API de análisis inteligente de documentos con Spring Boot 4 + Spring AI 2.0 y Anthropic Claude. Proyecto 1 del roadmap AI Engineer.

伴旅：本地优先的 Android AI 陪伴与关系成长应用，含可审计聊天记忆导入工具链

[EN] Full-stack AI chat application built with Spring AI and OpenAI on the backend and Angular on the frontend. [PT-BR] Aplicação full-stack de chat com IA construída com Spring AI e OpenAI no backend e Angular no frontend.

Build a persistent Rimuru Tempest AI Telegram bot with memory, language matching, group chat support, and smart relationship tracking

AI Chat Memory System - Generative AI project in AI / ML / GenAI for CSEProjects360 final year project catalog.

Spring Boot 4 + Spring AI 2.0 实验项目：ChatClient 多轮对话、质量门禁与学习文档机制

面向医疗场景的 LangChain 分布式会话记忆存储中间件：支持内存/文件/Redis集群/MySQL分表/ES归档五种存储适配，Protobuf 统一序列化，会话TTL自动归档与快照迁移，多租户科室隔离，Token预算上下文裁剪，字段级隐私脱敏，附 FastAPI 会话管理接口