A layered memory system for AI Agents that combines symbolic short-term memory with hierarchical long-term storage. It optimizes performance by offloading verbose tool logs into compact Mermaid symbols, reducing token usage by up to 61% while improving accuracy. The system organizes experiences into a semantic pyramid (L0-L3), enabling structured persona management instead of flat vector retrieval. Integrated with OpenClaw and Hermes, it provides a traceable and lossless memory architecture.
MemPalace is a local-first AI memory tool designed to store conversation history verbatim and retrieve it through semantic search, without summarizing or paraphrasing. It utilizes a structured index, categorizing information into "wings," "rooms," and "drawers" to enable scoped searches. The retrieval layer is pluggable (ChromaDB by default), ensuring all data remains on the user's machine unless opted out. It achieves an impressive 96.6% R@5 raw recall on the LongMemEval benchmark, notably without requiring LLMs or API calls, showcasing high performance in a local environment.
OpenSquilla is a token-efficient, microkernel AI agent designed for CLI, Web UI, and chat channels. At its core, an on-device model router (SquillaRouter) dynamically dispatches tasks to the cheapest compatible LLM (supporting over 20 providers like DeepSeek, Anthropic, OpenAI). Featuring persistent memory, a layered sandbox, web search, and local embeddings, it delivers identical tool dispatch, retries, and decision logging across all interfaces, maximizing efficiency within your budget.
Agent S, developed by Simular AI, is an open-source framework enabling autonomous computer interaction via an Agent-Computer Interface (ACI). By pairing major LLMs with visual grounding models like UI-TARS, it translates natural language into precise mouse and keyboard actions. The latest Agent S3 features a local coding environment for Python/Bash execution and Behavior Best-of-N mechanisms. It demonstrates strong zero-shot generalization across platforms and is the first GUI agent to surpass human-level performance (72.60%) on the OSWorld benchmark.
Supermemory is a state-of-the-art memory and context engine for AI, acting as a personal or enterprise brain. It automatically learns from conversations, extracts facts, maintains user profiles (stable and dynamic), manages knowledge updates, and resolves contradictions while handling automatic forgetting. Offering a complete context stack, Supermemory combines hybrid search (RAG + Memory), multi-modal extractors, and real-time connectors (Google Drive, Notion, GitHub). It integrates seamlessly with popular AI agents and clients like OpenClaw, Cursor, and Claude Code, ensuring your AI never forgets context between conversations.
