Minutes
✨Open-source, local-first conversation memory infrastructure that transcribes meetings and voice memos into structured Markdown, queryable by humans and AI agents.
Open-source, local-first conversation memory infrastructure that transcribes meetings and voice memos into structured Markdown, queryable by humans and AI agents.
A local-first knowledge compiler for AI agents, built on the LLM Wiki pattern, compiling raw materials into persistent markdown wikis, knowledge graphs, and hybrid search engines.
A local-first multi-agent collaborative office where AI role teams autonomously build and maintain a shared knowledge base, executing tasks via push-driven orchestration without losing context.
A portable memory layer for autonomous coding agents that provides persistent, structured context through LLM-curated hierarchical context trees with cross-session retention and team sharing.
A local-first AI research assistant featuring multi-LLM support, 20+ research strategies, multi-search-engine integration, and automated quality scoring for 212K+ academic sources, producing citation-backed PDF/Markdown reports via CLI, Web UI, REST API, or MCP Server.
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.
An extremely fast and scalable memory engine and app for the AI era. The Memory API that serves as your AI second brain for saving and organizing everything that matters.
An AI agent framework built with Rust, powered by ICP blockchain and TEEs, designed to create a highly composable, autonomous, and perpetually memorizing network of AI agents.
LEANN is an innovative vector database designed for personal devices, utilizing graph-based selective recomputation to reduce storage requirements by 97% without sacrificing accuracy. It enables fast, accurate, and 100% private RAG (Retrieval-Augmented Generation) on your local laptop across file systems, emails, chat history, codebases, and live data sources.
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