Multi-Agent Collaboration
A perceive → plan → execute → reflect loop lets specialized agents collaborate like a team — turning complex business into governable, traceable, iterable steps.
Evidence notice: cases, figures and inferred project metadata are unverified scenario illustrations, not established client outcomes, credentials or return promises. Signed contracts define scope, fees, baselines, acceptance and data responsibilities; client business data stays off-chain.
1. Key Capabilities
- Four-Layer Cognitive Loop —— Decomposition + tool-use + memory + reflection — fully observable end-to-end.
- Sandbox & Permission Isolation —— Each agent gets its own sandbox with role-scoped permissions — over-reach is auto-blocked.
- Experience Capture —— Successful paths auto-promote into Skills — next time, the agent hits the answer without re-exploring.
- Cross-Agent Orchestration —— DAG / event-driven / long-running hybrid orchestration with drag-and-drop business design.
2. Representative Scenarios
Multi-agent research desks · risk & compliance audit loops · R&D / process / QC tri-line collaboration in manufacturing · 24/7 cross-border customer service relay.
3. Quantified Outcomes
Complex-task first-pass success rises from <40% to 85%+, throughput per person 3×–10×, root-cause time from hours to minutes.
4. Specs & Fit
| Architecture | Perceive → plan → execute → reflect |
| Built-in agents | Office / finance / risk / marketing / ops — 20+ |
| Protocols | MCP / OpenAPI / custom tools |
| Memory | Short + long-term vector memory, persistent |
| Governance | Sandbox / permissions / audit |
5. Case Digest
Finance research multi-agent team
Analyst, risk and compliance agents collaborate to ship research and risk tags.
6× research throughput, -70% compliance miss rate.
Discrete-mfg scheduling
Planning, process, quality and material agents close the loop on exceptional orders.
-40% changeover time, +28% on-time delivery on exceptions.
Cross-border logistics agent team
Customs, booking, declaration and risk agents coordinate; exception documents auto-rerouted.
7× document throughput, +42% customs-exception interception.
Telco ticket triage and remediation
Triage, root-cause, dispatch and follow-up agents chain into a 24/7 closed loop.
-55% mean handling time, -38% repeat-fault rate.
6. FAQ
Q. Why is it steadier than single-agent?
A. The four-layer cognitive loop separates decomposition, tool-use, memory and reflection — single-point failures don't drag down the chain.
Q. How are agent conflicts avoided?
A. Built-in arbiter + shared memory; conflicts resolved by rule engine, key decisions can be taken over by humans.
Q. What observability is provided?
A. Inputs, outputs, tool calls, token usage and latency for every agent — drillable to single steps.