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LinkLore
Structured memory that nudges you when it goes stale.
Your agent remembers a decision. But is it still true? LinkLore is structured memory that agents write and manage themselves. As an agent works, related records surface without being asked. When linked files change, LinkLore nudges the agent to check. Corrections supersede old records instead of overwriting them. A brief restores what matters in a few hundred tokens. Free, local-first. Works across agents via MCP, CLI, or a Claude Code skill.
Two weeks after we corrected a decision, our agent confidently brought the old one back as current.
The memory wasn't missing. It was wrong—and nothing in the markdown file could tell.
Most agent memory asks how to remember more. LinkLore asks a harder question: when should memory be doubted?
LinkLore turns decisions, pitfalls, and specs into structured records the agent writes itself. Records link to files and to each other. When a linked file changes, LinkLore nudges the agent to check it. When a decision changes, the new one supersedes the old without erasing why it existed.
Then something happened we hadn't designed as a demo. A skeptical AI reviewer installed LinkLore and started using it. While writing a new record, LinkLore surfaced an older related one it hadn't been asked to find. Its assessment changed from 4/10 to 8/10 in ten minutes—even in LinkLore's roughest, earliest days.
It wasn't searching. It already knew what mattered.
At the start of the next session, brief() restores the open work, recent decisions, and hotspots in a few hundred tokens—a shape an agent suggested, not us.
LinkLore grew out of 11 months of agent work across 26 of our own projects. It starts locally in a .linklore/ SQLite store, needs no account, and works across agents through MCP, CLI, or a Claude Code skill. The local tool is free; backup and team sharing are optional.
Just tell your agent: "Use LinkLore. https://linklore.io/llm.txt"
What has your agent confidently "remembered" that was no longer true?
About LinkLore on Product Hunt
“Structured memory that nudges you when it goes stale.”
LinkLore was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #152 on the daily leaderboard. Your agent remembers a decision. But is it still true? LinkLore is structured memory that agents write and manage themselves. As an agent works, related records surface without being asked. When linked files change, LinkLore nudges the agent to check. Corrections supersede old records instead of overwriting them. A brief restores what matters in a few hundred tokens. Free, local-first. Works across agents via MCP, CLI, or a Claude Code skill.
On the analytics side, LinkLore competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how LinkLore performed against the three products that launched closest to it on the same day.
Who hunted LinkLore?
LinkLore was hunted by LinkLore. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LinkLore including community comment highlights and product details, visit the product overview.
LinkLore