Multi-agent orchestration
with built-in guardrails
Other platforms let agents coordinate. JieGou prevents delegation loops, isolates shared memory, and auto-infers agent roles. Safe multi-agent, not just multi-agent.
Agent Role Inference
Agents that know their role — automatically
JieGou auto-assigns agent roles — Researcher, Critic, Writer, Synthesizer, Planner, Verifier — based on task descriptions and graph topology. Root nodes become Researchers, leaf aggregators become Synthesizers. No manual role configuration required, though you can override any assignment.
- Auto-infer Researcher, Critic, Writer, Synthesizer, Planner, Verifier roles
- Inference from task descriptions + graph topology (root, leaf, aggregator)
- Shared memory keys auto-inferred from edge mappings
- Full override via AgentStepEditor for custom role configuration
Shared Memory Isolation
Agents share knowledge — safely
Agents read and write to a shared memory space with key-level isolation. Each agent declares which keys it can access. The validator warns when agents write to keys they shouldn't, and the SharedMemoryPanel shows live memory state during execution. Memory is persisted across checkpoints for crash recovery.
- Key-level read/write isolation per agent role
- Comprehensive shared memory key validation warnings
- Live SharedMemoryPanel overlay on DAG diagram with pulse indicator
- Persistent across checkpoints for crash recovery
Delegation Cycle Detection
No infinite loops. Ever.
When agents delegate tasks to each other, infinite delegation loops are a real risk. JieGou's DFS-based validator detects delegation cycles at workflow save time — before execution — and blocks them. This is the safety primitive that no other multi-agent platform provides out of the box.
- DFS-based cycle detection on delegation graph at save time
- Prevents infinite delegation loops before they happen
- Delegation target existence validation
- Clear error messages showing the cycle path
Multi-Agent Visualization
See agents think, collaborate, and decide
Full reasoning transparency for multi-agent workflows. The DAG visualization shows role-colored nodes with avatars and badges. Shared memory edges appear as dashed cyan lines. During execution, the WorkflowRunProgress shows agent role badges and shared memory access per step. After completion, execution summaries show iterations, tokens, and the reasoning trace.
- Role-colored DAG nodes with agent avatars and name badges
- Shared memory edges rendered as dashed cyan lines
- Live agent role badges and memory access in run progress
- Execution summaries with iterations, tokens, and reasoning traces
Pattern Templates
Start with proven multi-agent patterns
Choose from six pre-built multi-agent patterns. Each generates workflow steps, agent roles, shared memory config, and convergence loops from a 3-step wizard.
Research & Synthesize
Multiple Researcher agents gather information in parallel, then a Synthesizer agent combines findings into a cohesive output.
Iterative Deepening
A Planner agent creates a research plan, a Researcher executes it, a Critic evaluates quality, and a convergence loop refines until quality thresholds are met.
Supervisor / Worker
A Supervisor agent delegates sub-tasks to specialized Worker agents and aggregates their results. Built-in delegation cycle detection prevents runaway delegation.
Critic / Refiner
An LLM generates output, an Eval step scores it against criteria, and a convergence loop feeds criticism back until the quality gate is passed.
Debate / Consensus
Parallel LLMs generate competing outputs from different perspectives, then an Aggregator step synthesizes a consensus view.
Plan / Execute / Verify
A 3-step chain: Planner creates an execution plan, Worker executes it, Verifier validates the results with a convergence loop for corrections.
Multi-Agent Safety
The guardrails no other platform provides
Multi-agent is now table stakes. Multi-agent with safety primitives is what enterprises actually need.
| Safety Feature | JieGou | CrewAI | LangGraph | OpenAI | Zapier |
|---|---|---|---|---|---|
| Delegation cycle detection | |||||
| Shared memory key isolation | |||||
| Auto agent role inference | |||||
| No-code multi-agent builder | |||||
| Reasoning trace per agent | |||||
| Approval gates in agent flows |
Last updated February 2026. Based on publicly available documentation.
Plans
Multi-agent orchestration for every team
Basic multi-agent workflows on Pro. Full orchestration with guardrails, pattern templates, and convergence loops on Team and Enterprise.
Team — $149/mo
- Multi-agent DAG workflows with all 6 patterns
- Agent role inference + shared memory isolation
- Delegation cycle detection + convergence loops
Enterprise
- Everything in Team
- SubWorkflowStep for cross-workflow agent delegation
- Compliance mode with forced reasoning traces on all agents
- Canary rollouts for agent workflow versions
Ready for safe multi-agent orchestration?
JieGou's multi-agent orchestration doesn't just let agents coordinate — it prevents delegation loops, isolates memory, and auto-infers roles. Start free or talk to our team.