Local RAG for browser LLMs with decay lifecycle, but already competed by Langchain vectors.
Developers building browser-based LLM apps needing conversation persistence without backend infrastructure.
Langchain Memory · Qdrant · Pinecone
Deterministic graphs instead of vector embeddings sound clever, but long-context windows and RAG tools already solve this problem cheaper.
Proxy interception beats manual context files and lossy compaction with 2.6x better recall.
LLM memory wrapper when Mem0, LangChain Memory, and dozens of others already exist.
Single-file SQLite memory for LLMs simplifies complex vector DBs for local workflows.
Claims brain-like cognition with zero LLM calls, but zero evidence of actual learning.
Drag-to-merge conversations treats chat history as composable objects.
