Faster, smarter, reliable infinite chat: Supermemory IS context engineering.
Blog post from Supermemory
Supermemory has expanded its Infinite Chat product into a context engineering system designed to preserve and manage AI conversation history more effectively across long-running, multi-step tasks. The release adds support for multiple LLM providers, including OpenAI, Gemini, and Anthropic, along with multimodal memory for images, audio, and structured data, awareness of tool calls and outputs, larger context handling, long-context retrieval-augmented generation, and automated summarization and pruning. Using a conversation ID, developers can avoid resending full message histories because the system reconstructs relevant context, tracks completed and pending work, and can draw on patterns from earlier interactions. The company also introduced the open-source llm-bridge package to normalize differences among provider APIs and enable integration with existing SDKs through a modified base URL. The updated architecture aims to reduce redundant context, token costs, and repeated tool actions while supplying models with the most relevant information for each subsequent decision.
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