kiwi018/engram

Engram is a personal-scale project with minimal market traction (1 star, 0 forks) and a very high risk of obsolescence. While the 'zero dependency' Go binary approach is a nice developer experience touch, the problem it solves—agentic memory—is being aggressively commoditized. Frontier labs like OpenAI (via the Assistants API and Threads) and Anthropic are moving to handle context management natively. Furthermore, more mature open-source alternatives like Mem0, Zep, and the memory components within LangChain/LangGraph provide significantly deeper feature sets, including vector-based retrieval and sophisticated forgetting/summarization logic. With no recorded activity velocity and an age of nearly nine months without adoption, this project lacks the community or technical moat required to survive as a standalone utility. It is effectively a reference implementation of a stateful shim that most developers would now either build themselves in an afternoon or consume as a feature from their LLM provider.