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Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

Universal memory layer for AI Agents

The best-benchmarked open-source AI memory system. And it's free.

Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.

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

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Hindsight: Agent Memory That Learns

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Personal memory across agents

Agent S: an open agentic framework that uses computers like a human

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Cross-platform lib for process and system monitoring in Python

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings

Your favorite self-hostable alternative to Google Timeline (Google Location History)

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

An advanced memory forensics framework

MimiClaw: Run OpenClaw on a $5 chip. No OS(Linux). No Node.js. No Mac mini. No Raspberry Pi. No VPS. Hardware agents OS.

Your super agent for work: local-first, learn your working context in mins and never forget it.

ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

Agent Skills as a Memory Layer

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

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

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