memory

This is the stress-ng upstream project git repository. stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces.

The Open Source Memory Layer For Autonomous Agents

A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.

Zerocopy makes zero-cost memory manipulation effortless. We write `unsafe` so you don’t have to.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Public domain cross platform lock free thread caching 16-byte aligned memory allocator implemented in C

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

Free system monitor for OSX and macOS. See all system information at a glance in the menu bar.

An open source approach to locally record and enable searching everything you view on your Mac.

Empowering RAG with a memory-based data interface for all-purpose applications!

Research project. A Memory solution for users, teams, and applications.

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

Memory that AI Agents Love!

Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.

The control plane for AI coding agents.

ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.