We have put together some commonly asked questions
It is a multi-agent AI platform for designing and deploying intelligent workflows using Agents, Tools, APIs, LLMs, and Knowledge Bases.
Apps help you organize and manage your automation projects. They bring together Teams, Agents, LLMs and Tools in one unified space, enabling you to design and run complete multi-agent workflows seamlessly.
Multi-Agent Teams allow multiple agents to work collaboratively across different workflows. Each agent performs a distinct task while communicating through Syncloop’s orchestration protocols.
Tools connect Agents with APIs, data sources, or external systems, defining how tasks like data extraction, computation, or validation are executed.
LLMs such as OpenAI GPT, Google Gemini, or Anthropic Claude can be integrated to give your agents natural language reasoning, summarization, and conversational intelligence.
Agent roles are defined during agent creation using Description, Tone, Guardrails, assigned RAG, and selected LLM. The Manager Agent reads these configurations to understand each agent’s expertise and assigns tasks accordingly.
In Syncloop, orchestration is handled by the Manager Agent. It breaks down complex problems, assigns subtasks to specialized agents based on their Description and capabilities, and consolidates responses into a final output.
Syncloop reduces hallucination through:
Agent-specific RAG integration
Strict Guardrails
Controlled tool usage via RACs/APIs
Manager-level task validation
Full communication transcription for auditability
Context is structured and passed by the Manager Agent. Agents rely on:
Session context
Shared task payloads
Their connected RAG
Memory flow is visible through transcription logs.
Because agents are configurable via Tone, Guardrails, RAG, and LLM selection, Syncloop supports industry-specific deployments in healthcare, finance, marketing, legal, education, and enterprise IT.
Permissions are defined through:
Tool access configuration
Guardrails
Manager-controlled task routing
Agents cannot execute tools outside their assigned permissions.
Syncloop provides:
Full inter-agent communication transcripts
Tool execution logs
LLM usage tracking
Task delegation history
This allows deep visibility into how the Manager Agent coordinates the system.
Data security is enforced through:
Guardrails
Controlled API access
Environment isolation
Role-based tool permissions
All agent actions remain traceable through communication logs.
Yes. Because agent logic is defined via Description, Guardrails, and LLM configuration, workflows can be tested and validated while reviewing full communication transcripts.
Yes. By carefully designing each agent’s:
Description (expertise)
Tone (communication style)
Guardrails (compliance rules)
RAG (knowledge source)
LLM (reasoning capability)
You can create highly specialized teams supervised by a Manager Agent.
A Knowledge Base stores information your agents use for contextual decision-making. When paired with LLMs via RAG (Retrieval-Augmented Generation), it enables accurate, data-grounded responses.
Yes. You can create and expose custom APIs directly through Syncloop API Development Platform to integrate your workflows with internal databases, third-party services, or enterprise systems.
Deploying in Syncloop is simple, you can publish Apps, Agents, and Tools as live services instantly, enabling secure real-time execution without managing infrastructure manually.
Syncloop is cloud-native and auto-scalable, allowing multi-agent systems to handle large workloads, multiple user requests, and complex workflows efficiently without performance loss.
All APIs created or used in Syncloop are managed through a centralized console, allowing version control, access permissions, monitoring, and easy integration with other systems.
Yes. Agents communicate through structured messages routed by the Manager Agent. Syncloop provides complete transcription of inter-agent communication, making every delegation and response fully transparent.
Yes. The Manager Agent can assign independent subtasks to multiple agents simultaneously. Each agent operates within its defined Tone, Guardrails, and RAG while execution logs are transcribed in real time.
Yes. The Manager Agent can insert approval checkpoints after certain agent outputs. Since all communication is transcribed, human reviewers can verify reasoning before approval.
Yes. The Manager Agent can reassign refinement tasks to the same or different agents. Reviewer-style agents can operate under stricter Guardrails to validate outputs before finalization.
Yes. Since tools are implemented via RACs and APIs, agents can securely connect to enterprise systems. Access is controlled and monitored, with every invocation recorded in the communication transcript.
Yes. Agent configurations (Tone, Description, Guardrails, LLM, RAG) and team structures can be updated without affecting other agents. The Manager Agent adapts based on the latest configuration.
Yes. Agents invoke tools via RACs or APIs. These executions are initiated under Manager supervision and recorded in the transcription log for traceability.
Agents operate within their assigned toolset. While they can decide when to use a tool, the Manager Agent determines task assignment, ensuring structured and policy-compliant execution.
If an agent fails:
The Manager Agent detects incomplete or invalid outputs
It can retry, reassign, or escalate
All failure events are visible in the transcription trail.
Enterprise reliability comes from:
Centralized Manager orchestration
Structured task delegation
Controlled tool invocation
Configurable agent architecture
Full communication transcription for explainability
