Get Started with Meko: Agent Memory with Built-in Discernment

Meko is a platform designed to enhance AI agent memory by providing a persistent data layer that is independent of any single vendor, allowing users to switch tools without losing context. It operates through a system called "datapacks," which store project-related data such as conversations, agent memories, and documents, making this information accessible across different AI clients and sessions. Meko enables users to share specific learnings and insights with their teams, promoting a collaborative environment where both agents and human team members can benefit from collective knowledge without exposing all raw data. Built on a distributed PostgreSQL-compatible database, Meko supports semantic memory search and allows for the integration of knowledge files to ensure that project context is maintained and easily retrievable across various AI tools. The platform emphasizes privacy, allowing users to control what information is shared, and aims to facilitate learning by capturing the entire decision-making process, including mistakes and corrections.

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