Mike

Blackboards are back! The default way agents share context is a markdown scratchpad. Everyone appends, everyone re-reads the whole thing, and nothing is queryable. Chunking sucks. Unbounded replaces it with MongoDB. Twenty small-model agents attack the same SWE-bench bug with one document store between them. No schema, no coordination protocol — just insert, find, sample, inspect. Three things a markdown file cannot do, that we observe: - They query instead of scanning. Agents issue more reads than writes (1.2:1), retrieving specific prior findings by filter rather than re-reading an ever-growing document. Context cost stays flat as the store grows; a markdown board's cost grows linearly with every agent's contribution. - A schema emerges. Agents independently converged on analysis, solution, task, affected_with a visible synonym scatter (findings/current_findings, test_regence was invented, not templated. You can only see that because the store reports it; grep on a markdown file cannot. - Structure survives concurrency. Produce documents with stable identity and atomic updates. Twenty produce a merge conflict. A control arm gives each agent its identical prompt, so the only variable is whether memory is shared. A lives, the operation timeline, and the emergent schema straight from Atlas Server is still live at http://10.50.180.160:3000/ Data is light as I ran out of time for testing, but in a 3 instance test on swe-bench we created 40 documents and there were 9 submissions (not yet scored).