MemTensor/MemOS
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Repository profile
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.
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Latest capture 2026-07-17 04:17
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Scanned 2026-07-17 04:17
pyproject.toml
python ecosystem,
42 dependencies
setup.cfg
python ecosystem,
0 dependencies
setup.py
python ecosystem,
0 dependencies
uv.lock
python ecosystem,
0 dependencies
benchmarks/pyproject.toml
python ecosystem,
16 dependencies
core/Cargo.toml
rust ecosystem,
21 dependencies
memori-ts/package.json
javascript ecosystem,
23 dependencies
core/Cargo.lock
rust ecosystem,
380 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
Universal memory layer for AI Agents
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Personal memory across agents
The best-benchmarked open-source AI memory system. And it's free.
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.