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    Chain-of-Agents (CoA)

    Process automationChain-of-agentsCoA
    Editorially reviewed on: 1 source
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    The short answer · 19 words

    In short

    Research framework in which multiple LLM agents gradually share information and work together on long contexts or complex tasks.

    Flow-alerta.cab (2026): Chain-of-Agents (CoA). https://flow-alerta.cab/en/glossar/chain-of-agents-coa. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Interesting for long documents and multi-agent architectures, but not a general industry standard. What counts for companies is whether the additional agent effort measurably delivers better results.

    Example scenario: A long report is divided into sections, processed by multiple agents, and then merged by a manager agent into an overall analysis.

    Before productive use, compare against long-context models and RAG on the same tasks; measure cost, latency, error forwarding and traceability.

    At a glance

    Core
    Chain-of-agents was proposed as a multi-agent approach to long-context tasks. The input context is broken down into sections, several worker agents sequentially process partial information and pass on condensed results; a manager agent creates the final answer from this. The term here refers to a concrete research approach, not any arbitrary chain of agents.
    Use
    Interesting for long documents and multi-agent architectures, but not a general industry standard. What counts for companies is whether the additional agent effort measurably delivers better results.
    Example
    Example scenario: A long report is divided into sections, processed by multiple agents, and then merged by a manager agent into an overall analysis.
    Limits
    Use chain-of-agents as a synonym for any multi-agent system; ignore communication costs and error propagation; transfer research results unchecked to production tasks.

    In context

    AI Agents

    AI agents handle tasks over several steps and select tools and next actions within specified limits.

    Context Window

    The context window limits how much content a model can consider at the same time.

    Agent Orchestration

    Coordinates agents, tools and handovers within a common flow.

    Questions about this term

    Is chain-of-agents a general standard?

    No.

    Is it a multi-agent approach?

    Yes.

    What has it been proposed for?

    Especially for long context tasks with step-by-step information aggregation.

    All details and background

    Chain-of-agents was proposed as a multi-agent approach to long-context tasks. The input context is broken down into sections, several worker agents sequentially process partial information and pass on condensed results; a manager agent creates the final answer from this. The term here refers to a concrete research approach, not any arbitrary chain of agents.

    ELI5 – Explained simply

    Several agents read different parts of a large task one after the other and pass on their most important insights until a complete solution emerges.

    Why it matters in practice

    Interesting for long documents and multi-agent architectures, but not a general industry standard. What counts for companies is whether the additional agent effort measurably delivers better results.

    Example

    Example scenario: A long report is divided into sections, processed by multiple agents, and then merged by a manager agent into an overall analysis.

    Pitfalls and limits

    • Use chain-of-agents as a synonym for any multi-agent system; ignore communication costs and error propagation; transfer research results unchecked to production tasks.

    Origin & history

    Google Research introduced Chain-of-Agents at NeurIPS 2024 and publicly described the 2025 framework for long-context tasks.

    Use in mid-sized companies

    • Before productive use, compare against long-context models and RAG on the same tasks; measure cost, latency, error forwarding and traceability.

    Related terms

    Matching Flow-alerta service

    AI assistants & automationAI assistants & automation: test a suitable process with clear rights and human test points.

    Matching tool / use case

    View use casesResearch example: Chain-of-Agents for long documents and context aggregation.

    Sources

    Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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