Blog
Notes from the team
building Stash.
Writing on memory, research, and the messy human side of building products. From the team at Fergana Labs behind Stash.
Open Questions in Memory, and Our Predictions
The questions we argue about most with others building memory — labs vs startups, weight vs token space, retrieval vs blast radius, benchmarks — and where we think each one lands.
Giving yourself superpowers: Advice on building a simple company brain
An opinionated take on the right way to build a company brain — integrations, retrieval, memory, and privacy — so your AI agents can do real knowledge work.
Why hasn't there been any great consumer AI (still)
When models stop getting smarter, context engineering becomes the battleground — and the case for an inevitable AI memory infrastructure buildout.
Three Dimensions That Matter To An Agent Memory Store
An opinionated take on three key decisions memory builders need to make: retrieval, structure, and knowledge graphs.
Agents are Octopuses
Collaborative agent systems with shared memory as a new paradigm beyond swarms and assembly lines.
I Dropped Out of My PhD
Choosing the start-up life over the academic path.
Why Context Windows Won't Save Us
Why raw context length is not a substitute for true memory in AI.
In Praise of Mess
Embracing creative disorder as a feature, not a bug.
Why memory is critical
Why memory is critical in building useful AI products.
Techniques to improve coding agent velocity
Strategies for making coding agents more autonomous and effective.
When it Wraps, it Rhymes
Predicting the future of AI by looking at the past.
The Real Bitter Lesson
The nuances behind the classic refrain.