TeleAI-UAGI/telemem
quality grade A, 85 out of 100TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Storage and retrieval for embeddings: vector indexes, hybrid search and ANN libraries.
Signals: vector-database, vector-search, vector-store, similarity-search, approximate-nearest-neighbor, ann-search, faiss, hnsw
195 results
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
A prior-art search for your code ideas — has this dev tool already been shipped?
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
vsag is a vector indexing library used for similarity search.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
The official TypeScript/Node client for the Pinecone vector database
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
Python SDK for Milvus Vector Database
A simple, fast and versatile Datalog database
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Distributed, transactional document database backed by FoundationDB.
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
JVector: the most advanced embedded vector search engine
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
ACID Document Database
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
HelixDB is an OLTP graph-vector database built in Rust on Object Storage.
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