Genkit
✨An open-source AI application building framework for full-stack apps, providing a unified SDK and developer toolchain.
An open-source AI application building framework for full-stack apps, providing a unified SDK and developer toolchain.
Fast and accurate code search library for AI agents, achieving ~98% token reduction over grep+read via hybrid retrieval and code-aware reranking.
An API to power AI agents with clean web data — search, scrape, interact with the web, and output LLM-ready Markdown and structured data at scale.
A local code knowledge graph tool built on Tree-sitter that provides precise context to AI coding assistants via MCP, achieving an average 8.2× token reduction with support for 24 programming languages.
A universal memory layer for AI Agents providing multi-level personalized long-term memory extraction, storage, and fused retrieval.
A local-first agentic framework acting as a personal operating system, leveraging file intelligence, event-driven workflow automation, and LLMs for cross-modal task execution and multi-platform interaction.
A declarative orchestration framework for agentic AI and LLM applications, supporting multi-agent collaboration, full-pipeline RAG, and DAG workflows.
Persistent memory engine for AI coding agents featuring auto-capture hooks, triple-stream hybrid retrieval, and 4-tier memory consolidation to eliminate re-explanation across sessions.
A local-first context runtime for AI coding agents that significantly reduces token consumption from file reads and shell outputs via multi-strategy compression and property graph techniques, compatible with 28+ AI coding tools including Cursor, Claude Code, and Copilot.
A high-performance in-memory graph database for GraphRAG and real-time graph analytics, featuring built-in vector indexes and the MAGE algorithm library.
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