Prism FAQs

Question 1

What makes Prism stand out from other AI agent memory solutions?

Accepted Answer

Prism is an MCP-native solution offering zero-tool-call context injection via MCP Prompts and Resources, unlike others that require separate tool calls. It includes enterprise-grade features like Optimistic Concurrency Control (OCC), Multi-Tenant Row Level Security (RLS), and Gemini-powered ledger compaction, all while being cost-effective with Supabase free-tier compatibility.

Question 2

How does Prism handle persistent memory and context loading?

Accepted Answer

Prism offers persistent session memory, allowing agents to remember past interactions. It supports progressive context loading with quick, standard, and deep levels, ensuring only the necessary information is loaded. Features like Gemini-powered ledger compaction and semantic search via pgvector embeddings keep memory efficient and retrievable by meaning.

Question 3

What search capabilities does Prism offer for AI agents?

Accepted Answer

Prism integrates a powerful multi-engine search pipeline combining Brave Search for real-time web results and Vertex AI Discovery Engine for curated enterprise indexes. This is further enhanced with Gemini analysis, providing comprehensive and context-reduced research directly to your AI agent.

Question 4

Is Prism compatible with popular AI clients and LLMs?

Accepted Answer

Yes, as an MCP-native server, Prism is designed for seamless integration with any MCP-compatible client. This includes popular tools like Claude Desktop, Cursor, Windsurf, VS Code + Continue, and Cline. It leverages the Model Context Protocol to inject context and resources efficiently, supporting LLMs like Google Gemini and Claude.

Question 5

What is Prism and how does it enhance AI agents?

Accepted Answer

Prism is a Model Context Protocol (MCP) server designed to give AI agents production-ready memory and advanced search. It provides persistent session memory, progressive context loading, and multi-engine search, enabling agents to retain information between sessions and access comprehensive, relevant data without constant re-explanation.

Prism

Prism

Características Principales

Casos de Uso

Características Principales

Casos de Uso