Research
Papers from the AltLab research program
We publish our findings on memory systems, agent orchestration, runtime infrastructure, and AI-native operating systems as we develop them.
Persistent Memory Infrastructure for Autonomous and Cooperative AI Systems
Jun 22, 2026 ·
Modern AI systems built on large language models demonstrate strong reasoning ability within a single interaction but lack durable, well-organized memory across interactions. Three deficiencies recur across current approaches: information that matters is lost once it leaves the active context; systems that do retain information accumulate it without bound, degrading retrieval quality through noise; and no widely deployed system gives multiple cooperating agents an efficient, consistent way to share what they have learned. This paper proposes AltMemory, a persistent memory infrastructure for autonomous and cooperative AI systems. AltMemory organizes agent memory into working, episodic, and semantic stores; introduces a Memory Ranking Engine and an Intelligent Forgetting Engine as explicit, first-class subsystems; and extends the architecture with Shared Memory Spaces for multi-agent cooperation. We describe the architecture, situate it against existing memory mechanisms (ChatGPT Memory, Claude Memory, MemGPT, LangChain Memory, and AutoGen), and propose a concrete experimental program covering semantic retrieval, forgetting, and shared-memory cooperation. We are explicit about the architecture’s current limitations: AltMemory is proposed and partially implemented (AltMemory v0.1), not yet validated at the scale or generality this paper describes
Persistent Memory Systems for Autonomous AI Agents
Jun 21, 2026 · AI, Memory Systems, Persistent Memory, AI Agents, Autonomous Agents, AI Infrastructure
Modern AI systems are highly capable but suffer from a fundamental limitation: they do not possess persistent long-term memory. This paper explores persistent memory architectures for autonomous AI agents and proposes AltMemory, a memory infrastructure designed for long-term storage, semantic retrieval, memory ranking, and contextual persistence. We investigate how persistent memory can improve reasoning, continuity, and autonomous behavior in intelligent systems.