Awareness (ERC 8337)

edwin-hao-ai/awareness-local

Awareness is a universal AI agent memory middleware designed to provide long-term, editable, and verifiable memory capabilities for large language models. It decouples persistent memory from base LLMs through a layered retrieval architecture, enabling AI agents to autonomously remember user preferences, project context, historical interactions and domain knowledge without fine-tuning model weights. The project solves a core problem in current AI agent systems: long context dependency, high token consumption, memory confusion, and lack of verifiable evidence when processing multi-turn tasks, long documents and cross-platform workflows. Awareness automatically filters, compresses and ranks memory fragments based on salience, relevance and user habits, so that agents can maintain efficient, low-cost and consistent memory across different models, chat interfaces and development environments. Awareness supports the MCP protocol and provides npm/pypi SDKs, local daemon services, browser extensions and enterprise team workspaces. It can be quickly integrated into IDE agents, web chat platforms, enterprise RAG systems and domain-specific AI assistants. The project also introduces Ethereum EIP-style verifiable memory asset standards, allowing memory fragments, agent identities and authorization records to be minted as on-chain digital assets, thereby realizing user-controlled memory ownership, traceable agent collaboration and credible memory transfer