AI Topic: Context Engineering

Agentic coding platform and AI-native IDE that uses context-aware agents to plan, code, test, and maintain software across desktop, IDE plugins, and CLI workflows.

Open-source platform to author, centralize and distribute playbooks to AI agents and enforce governance for AI coding assistants across repositories.

Context-engineering platform that analyzes codebases to generate project-level context and rules so AI coding assistants produce accurate, project-aligned code.

Open-source SDK from LangChain for long-term memory in LLM agents, with hot-path tools, a background memory manager, and native LangGraph storage integration.

Context engineering platform that gives AI agents long-term memory via a temporal knowledge graph, Graph RAG, and context assembly. SDKs for Python/TS/Go, MCP server support, and usage-based pricing.

Generate a single text file containing your entire repository for AI code review, analysis, or sharing.

AI-powered CLI tool for generating project structures, configuration files, and documentation from natural language prompts.

A macOS application for visual context engineering and AI-assisted coding with intelligent file selection, prompt generation, and MCP server integration for seamless AI workflow management.

Keep your AI agents grounded in real, up-to-date library docs and examples using version-aware context injection.

A simple free tool to learn about context engineering and improve your AI prompts.