AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
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Updated
Mar 27, 2026 - Python
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
Open source code for ICLR 2026 Paper: Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
ATM-Bench: A benchmark for long-term personalized memory QA spanning ~4 years of multimodal data (images, videos, emails). Features referential queries, evidence-grounded answering, and multi-source reasoning. Paper: "According to Me: Long-Term Personalized Referential Memory QA"
Template for agentic Chat & Memory Agents with Dapr runtime, UV simplicity, and OpenAI Agents SDK.
A framework for resonance-based decision-making in artificial agents, combining celestial influences, memory feedback, and symbolic emergence.
Provide precise OpenClaw documentation and exact configs to your coding agent for accurate answers without guesswork or summaries.
Control autonomous AI agents by enforcing behavior rules to prevent unauthorized actions, improve focus, and boost execution efficiency.
Creo — Multimodal aesthetic memory system for AIGC creation
A production-ready LangGraph agent with long-term memory - built from scratch on Redis.
A living resource for AI agent visual identity — for humans and agents alike
🧠 Enhance AI agents with long-term memory and self-evolution using this lightweight, high-performance knowledge base middleware built in Go.
Provide community-built automation skills for OpenClaw agents to enhance task handling through browser and API integrations.
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