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.
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.
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.
An open-source Multi-Agent AI System for Platform Engineering teams, providing persona-driven specialized agent collaboration for automated platform operations including incident management, continuous deployment, and workflow orchestration.
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.
An MCP server that optimizes context windows for AI coding agents through sandboxed execution, session persistence, and output compression — reducing context consumption by up to 98%.
A fast, streaming Rust library for LLM application development — unifying indexing, querying, agents, and task graph orchestration.
A local knowledge graph engine that transforms code repositories, documents, papers, audio/video into queryable structured graphs, designed as a skill for AI coding assistants.
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