AI Topic: Prompts

Open-source MIT-licensed guide by DAIR.AI covering prompting techniques, model-specific tips, examples, and resources for building with LLMs.

Open-source CLI and Python library to run prompts, chat, embeddings, schemas, and tool-use across OpenAI, Claude, Gemini, and local models (Ollama, llama.cpp). Stores logs and vectors in SQLite and is extensible via plugins.

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.

Domain-specific language and toolchain for type-safe LLM functions, structured outputs, and multi-provider orchestration.

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 developer-friendly memory API with semantic search and content ingestion for building AI apps that remember.