Universal memory layer for AI Agents
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.
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.
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
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?
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.
Memray is a memory profiler for Python
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
Graphs that teach > graphs that impress. Turn any code, or knowledge base (Karpathy LLM wiki), into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Memory for 24/7 proactive agents like OpenClaw.
Agent S: an open agentic framework that uses computers like a human
Cross-platform lib for process and system monitoring in Python
Lightweight real-time memory management application to monitor and clean system memory on your computer.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
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)
An advanced memory forensics framework
Turn repeat work into running AI work-streams.
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