The Memory Engine

Memory is easy. Trust is hard.

Jackdaw resolves conflicting, changing information into trusted context your team’s agents can safely act on.

Current
Connected
Source-backed
Scoped

See where memory fails Explore the Wiki

Where AI gets confused

AI can remember everything and still be wrong.

Remembering information is not the same as understanding how it changes, connects, adds up, or fits the team.

01
When a decision changes, AI may keep using the old one.
02
When one project has different names, AI may treat it as several projects.
03
AI may miss that an email, a ticket, and a meeting are about the same work.
04
AI may remember every weekly number without knowing the total or trend.
05
When several people discuss a task, AI may give it to the wrong person.
06
AI may trust a casual comment as much as an approved plan.
07
AI may use private information in the wrong place.
08
When AI works outside the team, it misses the ideas everyone else is working from.

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How Jackdaw gets it right

Before an agent acts, Jackdaw resolves what is true.

It connects the same work across sources, tracks what replaced what, maps people to their roles, keeps the evidence, understands time, and applies the right boundaries.

Proof at scale

The right answer survives a mountain of noise.

We test whether Jackdaw can still recover the current answer as the history grows—not just in a tidy demo.

In our internal benchmark, Jackdaw’s resolved memory stayed between 86% and 94% as the corpus grew from 2,000 to 128,000 distractors. Vector and hybrid RAG fell toward 60%.

The payoff

Build agents that know enough to be useful—and understand enough to be trusted.

Every agent gets the current facts, the people and reasons behind them, and only the context it is allowed to use. Less briefing. Fewer mistakes. More meaningful work.