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Universal memory layer for AI Agents
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Latest capture 2026-07-17 04:21
55 captures since 2026-05-22
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Scanned 2026-07-17 04:21
pyproject.toml
python ecosystem,
53 dependencies
poetry.lock
python ecosystem,
0 dependencies
mem0-ts/package.json
javascript ecosystem,
58 dependencies
server/requirements.txt
python ecosystem,
17 dependencies
mem0-ts/pnpm-lock.yaml
javascript ecosystem,
638 dependencies
cli/node/package.json
javascript ecosystem,
12 dependencies
cli/python/pyproject.toml
python ecosystem,
8 dependencies
examples/mem0-demo/package.json
javascript ecosystem,
38 dependencies
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Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
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.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Personal memory across agents
Memory system for autonomous agents - built by an agent, for agents
