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
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
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
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Cursor, Claude Code, Codex, Windsurf, Gemini CLI, GitHub Copilot, Kiro, OpenCode, Antigravity, and Trae.
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Memory for 24/7 proactive agents like OpenClaw.
10 captures since 2026-05-27
pyproject.toml
· python · 42 dependencies
setup.cfg
· python · 0 dependencies
setup.py
· python · 0 dependencies
uv.lock
· python · 0 dependencies
benchmarks/pyproject.toml
· python · 16 dependencies
core/Cargo.toml
· rust · 18 dependencies
memori-ts/package.json
· javascript · 22 dependencies
core/Cargo.lock
· rust · 374 dependencies
memori-ts/package-lock.json
· javascript · 473 dependencies
examples/agno/pyproject.toml
· python · 4 dependencies