Memory for AI Agents in 6 lines of code

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

🧠 Make your agents learn from experience. Based on the Agentic Context Engineering (ACE) framework.

The Context Graph Factory for AI. Build, manage, and deploy AI-optimized Context Graphs.

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

Turn your data into shareable RAG apps in minutes. All in pure Markdown. Zero boilerplate.

From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

PowerMem: Your AI-Powered Long-Term Memory — Accurate, Agile, Affordable.

Open Source Semantic Layer & Knowledge Engineering Framework

Memory library for building stateful agents

Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.

AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

Nexus, the shared heartbeat where every agent and human connect, collaborate, and evolve together.

A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memory frameworks for conversational tasks.

Agent Package Manager

Reduce logs to their semantic anomalies

Finish What You Start — Context engineering for Claude Code. Sessions last 20+ exchanges instead of crashing at 7.

Context-central multi-agent framework with PyTorch-like API. Build intelligent agent systems with minimal code.

▶📚 Playbooks is a semantic programming system for AI agents