Hindsight
Agent Memory That Works Like Human Memory
Hindsight launched on December 17, 2025 with 13 votes, #712 of 11,628 launches that month and more than 75% of that year's launches.
What it does
Hindsight is a state-of-the-art, open-source memory system that lets AI agents learn over time by forming context, opinions, and task-relevant recall.
Why Hindsight?
AI agents forget everything between sessions. Every conversation starts from zero—no context about who you are, what you've discussed, or what the assistant has learned. This isn't just an implementation detail; it fundamentally limits what AI Agents can do. Hindsight solves these problems with a memory system designed specifically for AI agents. During reflect, the agent checks sources in priority order: Mental Models → Observations → Raw Facts . The mission tells Hindsight what knowledge to prioritize and provides context for reasoning. Directives are guardrails and compliance rules that must never be violated. Disposition traits subtly influence interpretation style. These settings only…from hindsight.vectorize.io
Does a similar job
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Agent Memory SystemMay 2026 · ravbyte-ai.github.io · ▲9Open Source Context Infrastructure for AI Agents

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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