Multi-agent coordination
Agents dividing work, sharing context, handing off without loss and catching each other’s errors, so a team of agents beats its best member.
capabilityEmerging Open on the map →
Facts
- Lane
- Agents and organisations
- Wave
- 9 of 12 (build order, not a date)
- Needs
- 14 boxes all the way back through hard links
- Unlocks
- 2 boxes downstream through hard links
- Leverage
- 0.2 points · stands in the way of 2 of 53 stages · rank 45 of 57
- Cluster
- Trust plumbing and the agent economy
Evidence as of October 2026
Google Research (Jan 2026) found that, across 180 agent setups, every multi-agent variant made sequential planning 39-70% worse, and independent agents amplified errors 17.2x.
Around it
Brakes
Works against this box
Loops and off-ramps
Openings researchers' judgement, October 2026 scouting
Startup room 35/100 · rank 90 of 124 Research room 54/100 · rank 49 of 124
- Depth
- light
- Players
- Anthropic Agent Teams (Opus 4.6); Google A2A (150+ orgs); Isara ($94M, $650M val, OpenAI-backed, Mar 2026); Sycamore ($65M seed); BAND ($17M seed); Lua ($5.8M); Modern Relay ($3M seed)
- Wedge
- Research on when a team beats its best agent: handoff and context-transfer protocols plus verifier designs that contain error cascades on sequential tasks, packaged as a topology selector that existing orchestrators can call. research