HydraDB OSS vs Polygres

El espacio de trabajo con IA donde equipos y agentes avanzan juntos

API de búsqueda web y crawler creado para agentes de IA

APIs de búsqueda e inferencia que dan datos web en tiempo real a los modelos de IA

Plataforma de búsqueda y recuperación con IA para apps y comercio

Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.

Un motor de memoria y aprendizaje continuo que da contexto persistente a cualquier agente de IA

API independiente de búsqueda web y grounding de agentes sobre el índice de Ahrefs

Gratis / Código abiertoHoncho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines.

Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud — a fully managed vector database service built for large-scale AI retrieval, RAG, and similarity search workloads.

Gratis / Código abiertoQdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.

Gratis / Código abiertoSmythOS is an agentic AI platform with two sides: a visual, drag-and-drop Agent Studio for building AI agents without code, and the open-source SmythOS Runtime Environment (SRE) — an SDK and CLI for running production agents with code. It abstracts LLMs, vector databases, storage and caching behind one unified API so agent logic can be written once and scaled across local, cloud and edge environments.

Gratis / Código abiertoEverMemOS (also described as EverOS) by EverMind is a memory operating system for AI agents and applications. It adds persistent, self-evolving memory on top of stateless LLMs: agents store multimodal content, retrieve it through hybrid mRAG, distill repeated patterns into reusable Skills, and keep facts in sync over time.