LongMemory is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named LongMemory among their alternatives. The relationship is not symmetric — how LongMemory rates them is a separate judgement, made when LongMemory is analysed in its own right.
calls LongMemory “if you want a lightweight local TypeScript memory store without external services.”
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.
calls LongMemory “Use it if you want a lightweight TypeScript local memory store and will handle extraction yourself.”
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
calls LongMemory “Choose if you need a lightweight local memory store for specific desktop agents like Claude Desktop, Copilot, or Codex.”
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.
calls LongMemory “choose it when you want a turnkey local memory store for desktop coding assistants.”
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
calls LongMemory “Choose when you want a local memory server for existing desktop/IDE agents (Claude Desktop, Copilot, Codex) rather than an API for custom agents.”
Memory library for building stateful agents