Context Management 4

Prompt-first IDE for AI power users with parallel sessions and atomic branching. Dereference AI Codetabs is a prompt-first IDE built for Claude Code power users and other CLI AI tools like Gemini CLI. It offers features such as running parallel AI sessions, setting checkpoints for instant branching or resuming, and working like tmux but smarter. The IDE is designed to supercharge developer workflows and unlock true 100x developer velocity by providing multi-session orchestration, atomic branching, lightning-fast native performance, privacy-first design, seamless AI tool integration, and intelligent context management.

Universal memory API for AI, personalizes LLMs, provides unlimited context, and simplifies retrieval. Supermemory is a universal memory API for the AI era, designed to help developers stop building retrieval from scratch and personalize LLMs for their users. It provides an unlimited context API that offers automatic long-term context across conversations. Built for developers who ship, it handles enterprise-grade performance at any scale, seamlessly integrates across teams and tools, and allows users to own their data while maintaining compliance with secure and controllable deployment options (cloud, on-prem, on-device). It is model-agnostic, works with any LLM provider, and delivers sub-400ms latency with best-in-class precision and recall.

AI-powered code snippet manager for developers to save, reuse, and share code efficiently. Pieces for Developers is an AI-infused code snippet manager that integrates with browsers, IDEs, and collaboration tools. It allows developers to save, generate, enrich, reuse, and share code snippets, screenshots, and workflow context. The tool aims to streamline the entire workflow and boost coding efficiency by providing an AI-powered code snippet manager and suite of productivity integrations.

ReLLM provides secure, permission-sensitive long-term context for LLMs like ChatGPT. ReLLM allows you to provide your users with secure long term context for LLMs such as chat GPT. We store context encrypted, and with user permissions baked in. The LLM is only provided context that the user talking to the LLM is allowed to see.