Knowledge-rich agents
Agents that carry company and personal context across sessions and people.
stageEmerging Open on the map →
Facts
- Lane
- Agents and organisations
- Wave
- 7 of 12 (build order, not a date)
- Needs
- 16 boxes all the way back through hard links
- Unlocks
- 3 boxes downstream through hard links
- Leverage
- 0.4 points · stands in the way of 3 of 53 stages · rank 23 of 57
- Cluster
- Agents at work
- When
- Researcher estimate: 2026 to 2029
Evidence as of October 2026
The MIT NANDA report blames most stalled enterprise pilots on a "learning gap": tools that cannot keep feedback or absorb a company’s own processes.
- 01Why 95% of AI pilots fail, on the MIT NANDA report (VC Cafe)
- 02Are we in a continual learning overhang? (LessWrong, Jan 2026)
Watch
Repeat-error rate inside one company. Share of answers grounded in company data.
Timeline note
My estimate. Memory and connectors are shipping now, but reliable company-wide use is not yet common.
Around it
Loops and off-ramps
Openings researchers' judgement, October 2026 scouting
Startup room 40/100 · rank 60 of 124 Research room 35/100 · rank 101 of 124
- Depth
- deep
- Players
- Glean ($300m ARR); Microsoft Copilot (30M+ seats); Atlassian Rovo; Notion; OpenAI Frontier; Dust ($40m B); Interloom ($16.5m)
- Wedge
- Cross-system adjudication (which source wins when systems disagree, who may supersede a fact) or vertical knowledge agents in regulated case work, the Interloom pattern. startup