OneMind: per-project LLM memory via a single protocol file in git repos
OneMind is a concept for a protocol file (onemind.md) that, when placed in a git repository, enables per-project LLM memory by storing structured references and context. It aims to give LLMs persistent, project-specific memory without bloating the repo, solving the problem of LLMs lacking long-term context across sessions for developers.
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A web tool that lets users upload an entire project folder and receive a single, clean, optimized markdown file ready to paste into Claude or Codex. It solves the problem of manually preparing context for LLMs by automatically consolidating and formatting code files. All processing is done client-side for privacy.
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Inkfold is a workspace that lets users interact with multiple AI providers (e.g., OpenAI, Anthropic) through a unified interface, with a shared memory system that persists context across sessions. It solves the problem of managing separate chat histories and contexts when using different AI models, providing a seamless experience for power users and developers.
odek: AI agent with long-term semantic memory across sessions
odek is an AI agent that maintains a structured, semantic long-term memory across sessions, remembering user preferences, codebases, and goals without requiring re-explanation. It uses LLMs to process and store information in a three-tier memory system, solving the problem of session-only memory for users who need continuity in their interactions.

