The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
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Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
- cloudflare-pages
- cloudflare-workers
- drizzle-orm
- tailwindcss
Beads - A memory upgrade for your coding agent
- agents
- claude-code
- coding
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.
TranslatedA practical, deployable AI memory and life layer for AstrBot: five types of memory, hybrid retrieval, forgetting governance, emotional boundaries, and an autonomous life loop. Does not override personality.
- agpl
- ai-companion
- astrbot
- astrbot-plugin
Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents