#memory

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.

Memray is a memory profiler for Python

Universal memory layer for AI Agents

A unified TypeScript SDK for building chat bots across Slack, Microsoft Teams, Google Chat, Discord, and more.

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

pytest plugin for easy integration of memray memory profiler

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.

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

The AI-Engineering Foundation Framework for CRM/ERP and commerce: open-source TypeScript, with multi-tenancy, RBAC, events and domain modules already decided as conventions and specs, so Cursor, Claude Code and Codex build features instead of re-deciding architecture. Start with 80% done.

Memory library for building stateful agents

SurrealDB SDK for Python

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

no_std Hardware Abstraction Layers for ESP32 microcontrollers