Memori – Open-Source Memory Engine for AI Agents
Hey HN! I'm Arindam, part of the team behind Memori (https://memori.gibsonai.com/). Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents don’t lose track of multi-step workflows, repeat tool calls, or forget user preferences. Instead, they build up human-like memory that makes them more reliable and efficient across sessions. We’ve also put together demo apps (a personal diary assistant, a research agent, and a travel planner) so you can see memory in action. Current LLMs are stateless…
Memori – Open-Source Memory Engine for AI Agents launched on August 18, 2025 with 17 votes, #732 of 8,530 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Memori is an open-source memory engine that gives AI agents the ability to retain information across sessions. It allows agents to recall past work, maintain consistency, and avoid repeating tasks or forgetting user preferences. Built for developers creating AI agents, Memori addresses the stateless nature of current large language models by enabling agents to learn and improve over time. The project includes demo applications demonstrating memory in action across diary assistance, research, and travel planning use cases.
written from the facts on this page · September 2026
From the sources
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises. - MemoriLabs/Memori
In the maker’s words, at launch
Hey HN! I'm Arindam, part of the team behind Memori (https://memori.gibsonai.com/). Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents don’t lose track of multi-step workflows, repeat tool calls, or forget…
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DeltaMemoryFeb 2026 · deltamemory.com · ▲104Most AI agents forget everything between sessions. We built DeltaMemory to fix that. It's a cognitive memory layer that gives agents persistent recall, automatic fact extraction, and temporal reasoning — via a single SDK call. Key numbers: - 89% accuracy on LoCoMo long-term conversation benchmark - 50ms p50 retrieval latency - 97% cost reduction vs raw token re-processing Open source SDKs, works with any LLM stack. Currently in early access. Happy to answer questions about the architecture, benchmark methodology, or how we handle knowledge graphs.
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