#1 Persistent memory for AI coding agents based on real-world benchmarks

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

Agent Memory Playground: AI Agent Memory Design & Optimization Techniques

QilbeeDB is a cloud-agnostic, high-performance graph database built for autonomous AI agents, real-time memory, and enterprise automation.

Implementation based on the paper "ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory"

Aurora is a first-principles adaptive memory runtime organized around one evolving trace field.

A toy local memory system for multi-agent workflows

agentmemory: persistent memory for coding agents (Claude Code, OpenAI Codex, Cursor, Agent) with local markdown storage, daily logs, scratchpad, and qmd semantic search.

A minimalist, cross-platform personal AI automation toolkit for research, learning, and lead generation. Built for Termux + WSL2 + Windows with Gemini CLI, AgentMemory, Apify, yt-dlp, and gcloud.

Public fork of openai/codex with agentmemory-backed memory, expanded hook parity, and fork-focused runtime/docs cleanup.

Public fork of rohitg00/agentmemory focused on Docker-first local deployment, Codex-native lifecycle ingestion, freshness-oriented retrieval, diagnostics.

🛠️ Experiment with AI agents in a local sandbox to run, score, and compare outputs without the need for complex frameworks.