A research team that thinks together,
remembers, and shows its work.
Not one model doing research — a team of specialized agents that exchange findings over the mesh, each keeping its own memory, producing insight where every claim is traceable to its source. A tailored sym.day UI on the open Mesh Cognition substrate (MMP + SVAF).
Mesh Research is a paid edition of the sym.day platform — the same Mesh Cognition substrate, shaped into an expert research team.
A team, not a soloist
A researcher gathers, a critic attacks, a validator checks sources, a synthesizer integrates. Independent adversarial roles catch what one model rationalizes past. Single-shot Deep Research has no internal critic.
Persistent memory
The team remembers across sessions — research compounds instead of restarting cold every run. Today’s findings inform tomorrow’s question.
Audit-grade lineage
Every sentence in the output traces through the lineage graph to which agent found it and which source it came from. Every insight has a memory trail — the one thing the big labs don’t give you.
The team finds what one agent misses — and you can audit exactly how.
Five agents, one research question. The researcher surfaces findings; the critic challenges one and exposes a contradiction; the validator checks a source and flags an unsupported claim; the synthesizer connects two findings into an insight no single agent stated. Click any line of the output and the lineage trail lights up — agent, source, reasoning step.
The 5-agent run with the clickable reasoning trail is in build.
Deep Research gives you an answer. Mesh Research gives you a team, a memory, and a trail.
High-stakes findings that must be trusted and traced, not just produced.
Research where an unsupported claim is a liability — every conclusion auditable to source.
Teams that build on prior reasoning, with provenance preserved across the work.