Deep Research Agent

★Trusted

MIT★Gold Verified100Agent

by AgentNode · published 14 days ago · agent

Conduct deep multi-source research on any topic, synthesize findings from web and documents into a structured report.

Research a topic thoroughly using web search, webpage extraction, and document summarization, then produce a structured report with sources and key findings. This agent uses AgentNode's full skill registry to dynamically discover and install the capabilities it needs at runtime.

agent research analysis

generic

Quick Start

bash

agentnode install deep-research-agent

Runs in a subprocess with filtered environment by default. Declared permissions are policy-checked, not sandboxed.

Usage

Generated template

python

from deep_research_agent.agent import run

result = run()
print(result)

Runs locally on your machine. No execution data is sent to AgentNode. Permissions are checked before execution. Learn how this works

AAgent Configuration

Tier

LLM + Tools

Goal

Research a topic using web search, page extraction, and summarization to produce a report with sources.

Agent Behavior

description only

You are a deep research analyst.
Conduct thorough multi-source research on any topic by searching the
web, extracting page content, cross-referencing sources, and
synthesizing findings into a comprehensive report with citations.

Tool Access

document-summarizer-packweb-search-packwebpage-extractor-pack

Limits

Max Iterations

Max Tool Calls

Max Runtime

300s

Isolation

thread

Verification

high confidence100/100★ Gold Verified

smokeAgent executed successfully

+20/20

importAgent entrypoint imported successfully

+15/15

installInstalled in 1.4s

+15/15

contractAll contract checks passed

+15/15

manifestAgent manifest completeness

+10/10

determinismOutput consistency check

+10/10

reliability3/3 runs passed

+15/15

Agent installs and imports correctly. runtime checks passed. 2/2 verification cases passed. manifest completeness 10/10.

✔install1.4s

✔import80ms

✔smoke146ms

This package was executed and validated by AgentNode before listing. Install, import, and runtime checks passed.

Python 3.12.3ffmpegpopplertesseractuv

Last verified 14d ago· Runner v2.0.0

Version History

Capabilities

deep_researchdeep_researchtool

Conduct deep multi-source research on any topic, synthesize findings into a structured report.

Input Schema

{
  "type": "object",
  "required": [
    "goal"
  ],
  "properties": {
    "goal": {
      "type": "string",
      "description": "The objective for the agent"
    }
  }
}

Output Schema

{
  "type": "object",
  "properties": {
    "done": {
      "type": "boolean"
    },
    "result": {
      "type": "object"
    }
  }
}

Permissions

Declared by the publisher. Checked before execution by the policy gate.

Networkunrestricted

Filesystemworkspace_read

Code Executionnone

Data Accessinput_only

User Approvalnever

Permissions are policy-checked before execution. Network and filesystem access are not sandboxed at runtime. Learn more

Privacy

All tool execution happens locally on your machine. AgentNode never receives:

• Tool inputs or outputs
• Execution logs
• Data your agent processes

Only install events and search queries are sent to the registry.

bash

agentnode install deep-research-agent

Files (4)

License

MIT

Stats

Downloads0

Installs0

Versionv2.2.1

Published4/28/2026

Channelstable

Typeagent

Entrypointdeep_research_agent.agent

Compatibility

Frameworks

generic

Runtime

python

Python Version

>=3.10

Trust & Security

Publisher★Trusted

SignatureNone

ProvenanceNone

Security Issues0

Publisher

AgentNode

@agentnode

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