MemOps

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MemOS ★ 10,877

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

TypeScript
memmy-agent ★ 908

🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.

TypeScript
MemOS-Cloud-OpenClaw-Plugin ★ 367

Official MemOS Cloud plugin for OpenClaw. Enables long-term memory for agents by recalling context before execution and saving conversations after each run.

JavaScript
skills-vote ★ 297

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

Python
MemRL ★ 169

Paper: “MEMRL: SELF-EVOLVING AGENTS VIA RUNTIME REINFORCEMENT LEARNING ON EPISODIC MEMORY” Open-Source Code

Python
HaluMem ★ 155

HaluMem is the first operation level hallucination evaluation benchmark tailored to agent memory systems.

Python

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  • .gitignore
  • 1-generate_background.py
  • 2-generate_evidence_conversation_w_verity.py
  • 2-generate_evidence_conversation_w_verity.sh
  • 3-generate_distractor_facts.py
  • 3-generate_distractor_facts.sh
  • 4-inject_evidence_into_irrelevant_conversation.py
  • 4-inject_evidence_with_distractors.sh
  • 5-test_operation_metrics.py
  • 5-test_operation_metrics.sh
  • 5.5-evaluate_operation_metrics.py
  • 5.5-evaluate_operation_metrics.sh
  • LICENSE
  • README.md
  • requirements.txt

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