AI Topic: Prompts

AI prompt engineering tool with uncensored chat, prompt enhancement, and image/video generation capabilities.

An AI engineering platform for product teams to build, test, evaluate, and deploy reliable AI agents and prompts.

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.

Ready-to-use component templates and CLI tooling for building Claude Code projects, including agents, commands, plugins, and monitoring utilities.

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

Open-source LLMOps platform for prompt management, evaluation, and observability for developer and product teams.

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

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.