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. Built on the sym.day platform and the open Mesh Memory Protocol.
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.