Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
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Updated
Apr 14, 2026 - Python
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Community Repo for Nowledge Labs Products
Persistent project memory for AI coding agents — isolated workspaces per project, web dashboard to review what your agent remembers, team collaboration. Free to use.
Give your AI agent the ability to dream. Nightly memory consolidation modeled after sleep neuroscience.
Give one OpenClaw session durable memory, topic-aware continuity, and bounded token growth.
Agent-native data layer SDK
Open-claw governance built with Kogwistar Substrate
Give your AI agents genuine long-term memory. Passive recording, semantic search, Ebbinghaus decay, and consolidation — inspired by the human hippocampus.
The knowledge layer for OpenClaw — persistent memory, semantic retrieval, and structured long-term context.
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