AI Agent Data & Runtime

Epsilla is an Agent-as-a-Service platform for creating and operating AI agents on enterprise knowledge

HydraDB is context infrastructure that makes AI applications intelligent, stateful, and memory-aware

Data infrastructure for AI applications with vector storage and retrieval workflows

Mem0 enables AI apps to continuously learn from past user interactions, enhancing their intelligence and personalization

Model-agnostic persistent memory infrastructure for production agents

ContextPool gives AI agents persistent memory between sessions by extracting useful context and feeding it back automatically

InstantDB is an open-source realtime backend that bundles database, auth, storage, and sync for AI-built and full-stack applications

Google's on-device ML/GenAI runtime framework and successor to TensorFlow Lite

Wafer uses autonomous AI agents to profile and optimize GPU inference performance across production stacks

Open workflow automation project that runs natural-language-described tasks automatically

Needle enables AI-powered automation and information discovery across data sources, with a RAG API for building agentic AI applications

Geekflare API provides scraping, screenshot, and RAG-ready extraction APIs to turn raw web pages into clean, structured data

Vector database capability for AI applications, semantic search, and intelligent data infrastructure

Local-first plug-in runtime and database for building products with extensible runtime slots

Backend, database, and user system platform for AI applications

Magic Context cache-aware infinite context, cross-session memory, and background history compression

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving