mnemo
Basic Information
Mnemo is a modular agent framework designed to orchestrate Retrieval-Augmented Generation pipelines and real-time data-driven agent workflows using the Model Context Protocol. It provides an infrastructure layer for building chainable, domain-specific agents that can persist memory, call tools, and coordinate multi-step tasks. The project emphasizes MCP compatibility so agents can act as MCP clients or servers and hot-swap data interfaces and execution environments. Typical uses shown in the README include autonomous workflows, human-in-the-loop systems, live decision agents that consume streaming enterprise or on-chain data, and agents that integrate vector stores, unstructured documents, and multimodal inputs. The repository includes examples, an installable package via pip or uv, and a quickstart demo illustrating file and web reader agents. Mnemo is aimed at developers and teams who need a composable, protocol-oriented foundation for deploying agents with real-time tool integration and long-term memory.
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App Details
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