lessthanno/engram-agent

Engram-agent is a very early-stage project (4 days old, 7 stars) targeting the 'long-term memory' problem in AI agents. While the 'zero-dependency' and '100% local' approach is a valid niche for privacy-conscious users, the project faces existential threats from both frontier labs and OS vendors. OpenAI has already rolled out 'Memory' for ChatGPT, and OS-level integrations like Windows Recall and Apple Intelligence aim to capture exactly this 'watch how you work' context at the kernel/display level. Technically, without a massive dataset or a unique hardware integration, this is a thin wrapper over local RAG (Retrieval-Augmented Generation). It competes with more established open-source projects like Mem0 (formerly Embedchain) and Khoj, which have significantly more traction and deeper integration ecosystems. The defensibility is low because the logic for 'watching' and 'summarizing' is rapidly becoming a commodity capability of the underlying models themselves.