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Customer Support

Open Source Cowork for Customer Support

Eigent helps customer support teams resolve tickets faster, draft accurate responses, escalate intelligently, and synthesize feedback — without burning out your agents.

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Eigent AI
Workspace
ContextLocal
Scheduled
Dispatch
New
Create a mock bank transfer CSV file
What are the top AI trends in 2025
Draft a blog post on agent automation
Summarize Q3 product feedback survey
Research competitor pricing strategies
Generate weekly report for the team
Total: 108.9K

Create a mock bank transfer CSV file include 10 columns and 10 rows. Read the generated CSV file and summarize the data, generate a chart to visualize relevant trends or insights from the data.

Worked for 0s
Preparing agent·2 Registered
CAMEL Agent·File Toolkit · Write to file
TodoToolkit·Todo_write
Writing mock bank transfer data to CSV file...
File Toolkit·Write to file
CAMEL Agent·File Toolkit · Read file
File Toolkit·Read file
Parsing CSV contents and verifying column structure...
TodoToolkit·Todo_write
CAMEL Agent·File Toolkit · Write to file
Terminal Toolkit·Shell exec
Generating markdown report with data summary...
File Toolkit·Write to file
CAMEL Agent·Terminal Toolkit · Shell exec
Screenshot Toolkit·Read image
Rendering chart visualization from bank transfer data...
Terminal Toolkit·Shell exec
Ask a follow-up
Support Any Model you like
Single Agent
Single Agent
Progress4
Create mock bank transfer CSV with 10 columns
Read and verify the CSV file contents
Summarize the data in a written report
Generate a chart to visualize relevant trends
Execution Context

Track skills, MCPs and referenced files used in this task.

Agent Folder

Files the agent writes or updates during this task appear here so you can open them.

bank_transfers.csv
analysis_report.md
bank_transfer_chart.png
Home
Eigent AI
Workspace
ContextLocal
Scheduled
Dispatch
New
Create a mock bank transfer CSV file
What are the top AI trends in 2025
Draft a blog post on agent automation
Summarize Q3 product feedback survey
Research competitor pricing strategies
Generate weekly report for the team
Total: 108.9K

Create a mock bank transfer CSV file include 10 columns and 10 rows. Read the generated CSV file and summarize the data, generate a chart to visualize relevant trends or insights from the data.

Worked for 0s
Preparing agent·2 Registered
CAMEL Agent·File Toolkit · Write to file
TodoToolkit·Todo_write
Writing mock bank transfer data to CSV file...
File Toolkit·Write to file
CAMEL Agent·File Toolkit · Read file
File Toolkit·Read file
Parsing CSV contents and verifying column structure...
TodoToolkit·Todo_write
CAMEL Agent·File Toolkit · Write to file
Terminal Toolkit·Shell exec
Generating markdown report with data summary...
File Toolkit·Write to file
CAMEL Agent·Terminal Toolkit · Shell exec
Screenshot Toolkit·Read image
Rendering chart visualization from bank transfer data...
Terminal Toolkit·Shell exec
Ask a follow-up
Support Any Model you like
Single Agent
Single Agent
Progress4
Create mock bank transfer CSV with 10 columns
Read and verify the CSV file contents
Summarize the data in a written report
Generate a chart to visualize relevant trends
Execution Context

Track skills, MCPs and referenced files used in this task.

Agent Folder

Files the agent writes or updates during this task appear here so you can open them.

bank_transfers.csv
analysis_report.md
bank_transfer_chart.png

Support teams trust Eigent for Agentic Solutions across their customer operations

AWS
Booking.com
HSBC
Tencent
Baidu
Imperial College London
University of Oxford
ETH Zurich
University of Chicago
CUHK
KAUST
Eigent
AWS
Booking.com
HSBC
Tencent
Baidu
Imperial College London
University of Oxford
ETH Zurich
University of Chicago
CUHK
KAUST
Eigent

Eigent runs automated tasks through
Non-intrusive IntegrationNon-intrusive Integration, offering AdaptableAdaptable, Ever-improving PerformanceEver-improving Performance for any scenario.

Home
Eigent AI
Workspace
ContextLocal
Scheduled
Dispatch
New
Research the latest AI market trends
What are the top AI trends in 2025
Draft a blog post on agent automation
Summarize Q3 product feedback survey
Research competitor pricing strategies
Generate weekly report for the team

Cowork with Single AgentCowork with Workforce

Describe a task for your agents…
Support Any Model you like
Single AgentWorkforce
Research the latest AI market trends and summarize key insights
Create a weekly status report from my project notes
Analyze competitors and suggest positioning strategies
Instructions
Memory
Total: 8.3K

Research the latest AI market trends and summarize key insights

Worked for 0s
Preparing workforce·4 Registered
Browser Agent·Web Toolkit · Search web
Web Toolkit·Search web
Searching for recent AI market trend reports and industry data...
Web Toolkit·Read page
Document Agent·File Toolkit · Write to file
File Toolkit·Read file
Synthesizing collected data into a structured market insights report...
File Toolkit·Write to file
Ask a follow-up
Support Any Model you like
Workforce
Workforce
Agent Pool4
Browser Agent
Terminal Agent
Multi-modal Agent
Document Agent
Progress2
Search for latest AI market trend reports
Synthesize findings into a written report
Execution Context

Track skills, MCPs and referenced files used in this task.

Agent Folder

Files the agents write or update during this task appear here.

ai_market_sources.md
ai_market_report.md

Auto-Triage and Route Incoming Tickets

Eigent reads incoming support tickets, classifies them by urgency and category, and routes them to the right team — cutting first-response times and reducing manual ticket handling.

Draft Accurate Responses Instantly

Eigent pulls from your knowledge base, past resolutions, and product docs to generate ready-to-send responses that agents can review and send in seconds — not minutes.

Surface Product Insights from Support Data

Eigent aggregates ticket patterns, recurring complaints, and feature requests into structured digests your product team can act on — turning support volume into product intelligence.

Handle Repetitive Inquiries Automatically

For common questions about billing, password resets, and order status, Eigent resolves tickets end-to-end without agent involvement, escalating only what genuinely requires human judgment.

Enterprise

Purpose-built for Enterprise Scale

Eigent is designed from the ground up for enterprise security and compliance requirements.

SOC 2 Type II

Annual third-party audit of security controls and data handling practices.

ISO/IEC 27001

International standard for information security management systems.

GDPR Compliant

Full compliance with European data protection and privacy regulations.

HIPAA Compliant

Healthcare data protection standards for secure handling of sensitive information.

Frequently Asked Questions

What is Eigent and how does it help customer support teams?

Eigent is an open-source agentic cowork platform where AI agents operate your support tools — helpdesks, knowledge bases, CRMs, and internal systems — like a human support agent. For support teams, this means automating ticket triage, response drafting, and repetitive resolutions so agents handle the complex, high-value interactions.

Does Eigent integrate with Zendesk, Intercom, or Freshdesk?

Yes. Eigent integrates with Zendesk, Intercom, Freshdesk, and other major helpdesk platforms. It can read, categorize, and update tickets; draft responses; and trigger escalation workflows based on rules you define.

Can Eigent automatically resolve support tickets without a human?

Yes, for well-defined, repeatable request types. Eigent can resolve common inquiries — billing questions, account issues, FAQ responses — end-to-end. For complex or sensitive issues, it prepares a complete draft and context summary for agent review rather than responding autonomously.

How does Eigent help reduce ticket resolution time?

Eigent reduces resolution time in three ways: it triages and routes tickets instantly, it drafts accurate responses from your knowledge base so agents skip the writing step, and it handles straightforward tickets entirely without agent involvement.

Is customer data protected when using Eigent?

Yes. Eigent supports local-first and fully on-premises deployment so customer data stays within your infrastructure. Cloud deployments include SOC 2 Type II certification, end-to-end encryption, and role-based access controls.

Can Eigent work alongside our existing support team and workflows?

Eigent is designed to augment your existing team, not replace it. It operates within the tools your agents already use, following your escalation rules and tone guidelines. Teams typically run Eigent alongside their existing workflow before gradually expanding the scope of automation.

Open Source Cowork 桌面版

100% 開源——可自行託管、完全免費,支援使用你自己的 API keys 或本地模型。

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