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TIMPs is an open-source memory infrastructure layer for AI agents. Most LLM apps are stateless — they forget everything between sessions. TIMPs adds structured long-term memory, semantic retrieval, project isolation, and reflection-based storage. Built with TypeScript, PostgreSQL, and Qdrant. Developer Preview — designed for builders experimenting with persistent AI systems.see more

Open SourceDeveloper ToolsArtificial Intelligence

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Imagine your AI agents finally having a real memory, not just a short-term conversation log that vanishes the moment the session ends. That's the core promise of TIMPs, an innovative, open-source memory infrastructure layer designed specifically for the next generation of AI applications. We all know the frustration: you spend time training your agent on specific context, detailing a complex project, or setting up personalized preferences, only for the system to treat you like a stranger the next time you log in. TIMPs solves this fundamental stateless problem by introducing robust, structured long-term memory capabilities. This isn't just about saving chat history; it’s about enabling true persistence, allowing your AI companions and tools to learn, grow, and recall crucial details across sessions, making every interaction more meaningful and efficient than the last. It transforms ephemeral experiments into reliable, evolving digital partners.

TIMPs is engineered from the ground up to provide builders with the tools necessary to create truly persistent AI systems. Built using modern, reliable technologies like TypeScript for the core logic, PostgreSQL for structured data persistence, and Qdrant for lightning-fast semantic retrieval, this infrastructure ensures your agents can access relevant memories exactly when they need them. Think about the implications: an agent handling complex workflows can isolate project data, ensuring that context from Project Alpha never accidentally contaminates Project Beta. Furthermore, the inclusion of reflection-based storage means your agents aren't just passively remembering; they are actively processing and summarizing past experiences to improve future decision-making. This layer empowers developers to move beyond simple prompt engineering and start building sophisticated, context-aware applications that genuinely remember the user and the task at hand.

This is a developer preview, meaning it is tailor-made for those on the cutting edge—the builders, tinkerers, and innovators who are pushing the boundaries of what AI can achieve. If you are currently developing AI agents, chatbots, or autonomous systems that require context to span days, weeks, or even months, TIMPs offers the foundational backbone you need. By integrating this open-source memory layer, you are investing in a system that supports deep context retention, high-speed recall based on meaning, and clear organizational structure. Stop rebuilding context every time a user reconnects. Start building AI that remembers, learns, and delivers consistent, high-quality performance session after session, unlocking a new level of user experience and application capability.