Core concepts
Meko organizes agent data around a few key concepts. Understanding these will help you get the most out of the platform.
Datapacks
The fundamental storage primitive for multi-agent systems. One datapack per application, or one project. It is the isolation unit for agents working together. Each datapack bundles a database, the knoweledge base, agent memories, collective memories, shared knowledge, MCP server, and credentials.
Memory
Extracted memories from conversations are specific pieces of information or preferences that are explicitly stored persistently for the long term. Memories are stored as entity and relationship, powered by Meko's graph storage.
Knowledge bases
Information repository that acts as a single source of truth for agents, grounding decisions, reducing hallucinations, and ensuring consistent responses. Uses semantic search and RAG to understand query intent, not just keywords. Documents are chunked, embedded, and indexed for retrieval.
Traces
Meko provides end-to-end visibility into every conversation, from initial prompt through LLM chain-of-thought, including memory and knowledge, the associated API and SQL calls, the queries executed, and the results retrieved.