Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
-
Updated
Jun 15, 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.
Export, back up, search, analyze, and reuse ChatGPT / Claude / Codex / Cursor / DeepSeek / Qwen data + skills + attachments locally
Community Repo for Nowledge Labs Products
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Persistent project memory for AI coding agents — isolated workspaces per project, web dashboard to review what your agent remembers, team collaboration. Free to use.
Persistent, governed memory for AI tools. Share state across clients without losing scope, provenance, or auditability.
Give your AI agent the ability to dream. Nightly memory consolidation modeled after sleep neuroscience.
Agent-native data layer SDK
Give one OpenClaw session durable memory, topic-aware continuity, and bounded token growth.
Open-claw governance built with Kogwistar Substrate
Exabase M-1 memory-provider integration for OpenClaw.
The knowledge layer for OpenClaw — persistent memory, semantic retrieval, and structured long-term context.
Give your AI agents genuine long-term memory. Passive recording, semantic search, Ebbinghaus decay, and consolidation — inspired by the human hippocampus.
Add a description, image, and links to the openclaw-memory topic page so that developers can more easily learn about it.
To associate your repository with the openclaw-memory topic, visit your repo's landing page and select "manage topics."