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.
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.
Rig is a Rust library for building scalable, modular, and ergonomic LLM-powered applications with support for 20+ model providers and 10+ vector store integrations under unified interfaces.
A powerful coding agent toolkit providing semantic retrieval and editing capabilities through an MCP server and other integrations, transforming LLMs into fully-featured agents that work directly on your codebase.
AWS Generative AI CDK Constructs is an open-source extension of the AWS Cloud Development Kit that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, helping developers build generative AI solutions using pattern-based definitions for their architecture.
A data framework for building LLM applications in JavaScript/TypeScript environments, supporting multiple runtimes and enabling integration of your own data with large language models.
An open-source memory layer specifically designed for coding agents, compatible with Cursor, Claude Code, Windsurf, and other IDEs through MCP integration, enabling auto-generated AI coding memories that scale with your codebase.
A universal memory layer for AI agents that provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.
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