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
Self-evolving memory across Agent and platform.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
No description.
Universal memory layer for AI Agents
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
9 captures since 2026-05-25
methods/EverCore/pyproject.toml
· python · 70 dependencies
use-cases/claude-code-plugin/package.json
· javascript · 2 dependencies
use-cases/game-of-throne-demo/package.json
· javascript · 3 dependencies
methods/EverCore/uv.lock
· python · 204 dependencies
use-cases/game-of-throne-demo/backend/package.json
· javascript · 11 dependencies
use-cases/game-of-throne-demo/frontend/package.json
· javascript · 13 dependencies
methods/EverCore/examples/openclaw-plugin/package.json
· javascript · 0 dependencies
AI agent config detected
Key config paths
AGENTS.md
CLAUDE.md