Eigent
Open-source desktop multi-agent workspace that enables AI agents to operate browsers and local applications to complete real tasks. The official version supports custom model selection, approval of key steps, and traceability of execution trajectories.
Updated: 2026-10-26
What is Eigent?
Eigent is an open-source multi-agent desktop workbench, officially described as a "multi-agent workforce": assign it a task, and it will break it down on its own, call up browsers and local applications, report progress as it works, and wait for your approval on key steps. The difference from pure cloud-based agents is that it connects to your local files and working environment, and you can also choose the model.
Who is it for?
- Analysts and operations personnel who need to process a large amount of web information: competitive product research, clue collection, and data compilation.
- IT and automation leaders in small and medium-sized enterprises: Assign cross-system repetitive tasks to agents while retaining approval processes.
- Legal and finance teams with sensitive data: They want the agent to run on the local machine and keep data within the intranet.
- Developers and researchers: Transform their own multi-agent workflows based on open-source code.
- Individuals who need to work on multiple tasks in parallel: Let several agents conduct research, organize materials and draft initial versions simultaneously.
- Consulting and investment research teams: Hand over data retrieval and interview summary organization to agents for parallel processing.
Key features
8Multi-Agent Collaboration
Break down tasks to multiple agents for division of labor execution. The official states that agent workspaces can be built around teams, and once configured, they are ready for use every time work starts.
Browser and Desktop Operations
The official states that agents can control browsers and desktop applications, perform actions such as retrieval, form-filling, and data extraction through real interfaces, rather than being limited to the conversational level.
Memory Mechanism
Memory enables agents to retain context and continue the task background across sessions, eliminating the need to repeatedly recount the entire story of a project each time.
Automation and Remote Control
It provides Automation and Remote control, allowing you to arrange repetitive tasks into fixed processes and issue instructions remotely.
Process Visibility and Approval
Chat and Trajectory display the execution trajectory of each step, and Approvals allow you to intervene before key actions. The official emphasizes that you can use agents without giving up control.
Model-agnostic and open-source
The official states that it supports custom model selection and full customization, with open-source code and the ability to be deployed locally to retain data.
Agent Browser
A built-in Agent browser that allows agents to operate web pages in an isolated browsing environment, reducing mixing with the local machine's login state.
Multiple Task Assignment Methods
You can directly describe tasks in the client, or issue remote instructions to advance progress even when away from the office.
How to use Eigent
- 1Start with low-risk tasks, such as reading materials and organizing tables, observe whether the execution trajectory is stable, and then allow actions like writing documents and submitting forms.
- 2Set approval points before irreversible actions such as "external sending", "deletion", and "payment".
- 3The local agent has high privileges, so it is recommended to run it in an independent account or an isolated environment, and restrict the accessible directories.
- 4For operations involving account logins, log in separately using the Agent Browser to avoid sharing sessions with the main account on the local machine.
- 5Try to include acceptance criteria in task descriptions, such as the output format and included fields, to make the agent's self-inspection more accurate.
- 6Open source licenses, commercial terms and cloud service quotas are subject to the official repository and official website descriptions, and should be re-verified before team deployment.
Traffic & popularity
Data month Sep 2026
Eigent receives about 237.2K visits per month and ranks #251,794 worldwide.
Monthly visits
12 monthsTraffic sources
- Search73.8%
- Direct13.6%
- Referrals8.3%
- AI assistants2.7%
- Social1.6%
Top countries
- South Korea16.7%
- United States11.2%
- China10.1%
- Spain4.1%
- France4.0%
Estimated from third-party traffic data.
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