Nia is an AI-powered tool designed to enhance the capabilities of coding agents by providing an additional context layer. It allows users to index multiple documentations and codebases, enabling their coding agents to query all of them simultaneously and maintain context.

Key Features:

• Provides deep architectural understanding for coding agents.
• Offers semantic search capabilities across indexed content.
• Enables multi-modal access to context for agents.
• Integrates with any agent via MCP server.
• Allows indexing of multiple codebases and scraping entire documentation.
• Offers easy usage tracking and billing management.
• Accessible via API, MCP, CLI, or directly in AI code editors.
• Built with advanced task security, opting out of data retention and training from AI providers (Anthropic, OpenAI, Gemini).
• Scalable for teams, from solo developers to enterprise.

Use Cases:

• Providing additional context to any coding agent.
• Indexing multiple codebases for agents.
• Scraping entire documentation to feed to agents.
• Enriching agents with context of any repository or entire documentation.
• Building on top of Nia and integrating into custom applications.
• Ingesting any GitHub repository to understand code written by others.

Benefits:

• 10x the context of your coding agent.
• Never lose context again during coding.
• No need to switch tabs when working with agents.
• Works with every agent, offering broad compatibility.
• Protects data by opting out of data retention and training from AI providers.
• Empowers growth through seamless scalability for teams.
• Offers flexible pricing plans, including a free tier, to adapt to user needs.