Pensyve is a framework-agnostic, universal memory runtime for AI agents, providing a persistent and context-aware memory layer for tools, prompts, and resources accessible via MCP-compatible clients. It exposes API endpoints and commands for episodic, semantic, and procedural memory, enabling agents to store, recall, group, and consolidate knowledge or outcomes across sessions. Pensyve integrates with systems such as Claude Code, Cursor, LangChain, CrewAI, AutoGen, and supports a local SQLite backend (offline-first) as well as scalable Postgres deployments with pgvector. Ideal for AI developers, agent architects, and teams who want to upgrade AI assistants with robust, persistent, and retrievable contextual memory.
Visit Pensyve's official website for product details and getting started.