2 Repos
Storage mechanisms designed for persistent cross-session knowledge and user preferences for AI agents.
Distinct from Persistent Storage Management: The existing candidates focus on in-memory mocks or browser persistence, not agent-specific knowledge bases.
Explore 2 awesome GitHub repositories matching data & databases · Agentic Memory Systems. Refine with filters or upvote what's useful.
OpenHarness is a framework for building and orchestrating AI agents that utilize tools and plugins to execute complex tasks. It provides an orchestration system for managing language model lifecycles and a multi-agent coordination system for delegating workloads across teams of specialized subagents. The project features an agent gateway that bridges language model agents to external chat platforms and communication channels. It includes a tool integration engine for executing shell, file, and web operations, supported by a memory and skill manager that handles persistent user preferences and
Ships a storage system for maintaining long-term user preferences and interaction continuity.
Context Hub is a retrieval-augmented generation framework and context management system designed to provide large language model agents with curated, versioned markdown documentation. It functions as a documentation provider that delivers precise API references and technical context to reduce hallucinations and token waste. The system incorporates an agentic memory layer that maintains persistent local annotations and user feedback to improve how agents retrieve task-specific knowledge. It uses a version-controlled repository of technical documentation designed for both machine readability an
Provides a persistent memory system for cross-session knowledge and user-defined annotations to improve agent retrieval.