OpenDream
Open, local-first memory for AI agents (with dreaming)
OpenDream launched on June 22, 2026 with 10 votes, #1,316 of 22,647 launches that month and more than 90% of that year's launches.
What it does
OpenDream is an open, local-first memory layer for AI agents. It captures agent activity, turns useful history into reviewable memory, retrieves only relevant context for the next task, and shows what was selected, skipped, or marked stale. Use it across Codex, Claude Code, Cursor, and other agent workflows without handing project memory to a hosted black box.
Open, local-first memory for AI agents. Capture what happened, retrieve what matters, and review what changed.
Capture what happened, retrieve what matters, review what changed. Carry useful context across projects, tools, and sessions while keeping boundaries, sources, and review visible. OpenDream shows which memories were selected, why they matched, and which items stayed out of the handoff. OpenDream recovered the previous state and pointed to the next concrete recovery step. Remembered constraints changed the implementation path toward a read-only, rebuildable projection. Prior context triggered a verification step before editing, avoiding duplicated stale work. Demo clips show the browser UI, transcript import, and Dreaming Cycle handoffs so the loop is visible instead of implied by still…from pylit.ai
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Memori – Open-Source Memory Engine for AI Agents2025 · github.com · ▲17Hey 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…
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