memorizz
✨A GitHub repository maintained by RichmondAlake. Due to technical limitations, page content could not be accessed. Specific functionality, tech stack, and use cases require manual verification.
A GitHub repository maintained by RichmondAlake. Due to technical limitations, page content could not be accessed. Specific functionality, tech stack, and use cases require manual verification.
The Zero-Server Code Intelligence Engine that indexes any codebase into a knowledge graph, providing AI Agents with deep architectural insights and call-chain tracing via MCP protocol.
AI-native task and documentation management tool for dev teams, serving as a persistent memory layer for AI. Manages tasks, documents, and decisions via local Markdown file system, leveraging MCP protocol to grant AI assistants persistent contextual understanding of projects.
Cross-Agent Memory Bridge providing persistent memory layer for AI coding agents across sessions and IDEs, supporting 7 major agents including Cursor, Windsurf, and Claude Code.
An agent memory system with biomimetic architecture that enables AI to learn from experience via reflection, featuring multi-strategy retrieval and top performance on LongMemEval benchmark, released under MIT license.
A systematic skill library for AI Agent context management, covering fundamentals, architectural patterns, operational optimization, and evaluation systems. Compatible with Claude Code, Cursor, and other platforms. Distinguished from prompt engineering by its holistic approach to curating all information entering the model's attention budget.
Official Agent Index for LobeChat, featuring community-contributed high-quality prompts and AI assistant roles via index.json, covering programming, writing, translation, academic, and more.
A lightweight, lightning-fast, in-process vector database powered by Alibaba's Proxima engine, featuring zero-config deployment, billion-scale millisecond search, and hybrid sparse/dense retrieval.
A curated list of free LLM inference APIs, covering rate limits, model lists, and special requirements for major platforms like OpenRouter, Google AI Studio, Groq, and Cerebras. Ideal for developers in the prototyping phase.
A curated collection of papers on building and evaluating language model agents via executable language grounding, covering LLM code generation, agents with tool use, web grounding, and robotics research.
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