Acontext: Acontext is a Context Data Platform designed to help build scalable cloud-native AI agents by managing context storage, retrieval, and state. It solves common problems like inefficient LLM message storage, complex long-running agent management, and lack of agent observability and learning capabilities.; deja-vu: Deja-vu is a zero-dependency, local-first binary that indexes and makes searchable the historical sessions of various AI coding agents. It acts as a universal memory layer, allowing agents to recall past solutions and context efficiently, even from before its installation.
Building scalable and robust cloud-native AI agents for large user bases.
Reusing solutions from past agent conversations to avoid re-debugging or re-implementing.