2 个仓库
Awesome GitHub RepositoriesMemory Mergers
Tools for consolidating duplicate or related semantic information to maintain a clean knowledge index.
Distinct from Semantic Memory Generation: Distinct from Semantic Memory Generation: focuses on deduplicating and merging existing entries rather than creating new ones.
Explore 2 awesome GitHub repositories matching data & databases · Memory Mergers. Refine with filters or upvote what's useful.
Awesome Memory Mergers GitHub Repositories
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- tporadowski/redis
tporadowski/redis
9,987在 GitHub 上查看Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations
Consolidates duplicate or related information using semantic search to maintain a clean memory index.
Credisredis-for-windowsredis-msi-installer - agiresearch/aios
agiresearch/AIOS
5,168在 GitHub 上查看AIOS is an LLM agent operating system and orchestration kernel designed to manage memory, resource scheduling, and tool execution for multiple autonomous AI agents. It serves as a comprehensive framework for developing and deploying agents, featuring a dedicated resource manager that coordinates model backends, GPU memory, and isolated kernel instances. The system distinguishes itself through a semantic memory engine that uses vector search and autonomous clustering for long-term knowledge management, and a semantic file system that allows users to control computer files and system operations
Consolidates duplicate semantic information and updates anchors to maintain a clean knowledge index.
Python
