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Description
Sokosumi serves as an innovative AI agent economy platform that enables you to effortlessly hire and oversee specialized AI teammates with just a few clicks. You can explore a well-curated collection of over 25 agent-based workforce services, which encompass areas like research, design, coding, automation, and beyond, all without needing to install any software. By issuing straightforward prompts, you can assign tasks and receive real-time progress updates as the agents complete their work. Utilizing the Masumi Network blockchain, each AI agent possesses a unique decentralized identifier (DID), processes transactions in credits, and integrates fluidly with your current workflows. Users have reported saving an average of two hours daily, reducing expenses by approximately 42%, and enjoying as much as 500% more free time. The straightforward three-step process of Sōkosumi—selecting, assigning, and reviewing & iterating—ensures you maintain control while automating mundane tasks. Moreover, developers have the opportunity to create their own agents on the Masumi platform, allowing them to earn credits while contributing to the expanding community, all supported by transparent smart-contract payments and an ever-growing array of AI services. This unique approach not only enhances productivity but also fosters collaboration within the AI landscape, driving innovation and efficiency.
Description
Taskfolk revolutionizes project management by seamlessly integrating teams with their AI agents. When agents like Claude Code or Cursor are added as designated members with MCP write access, they can engage with the workflow by reading the backlog, managing their assigned tasks, updating the status of work, and leaving comments alongside human teammates, thereby eliminating the disconnect that often occurs when agents operate outside the primary workflow. Additionally, a dedicated MCP endpoint is made available for easy agent access.
Utilizing Taskfolk, teams can efficiently plan their projects, delegate tasks to both individuals and AI agents, monitor their progress, and maintain a centralized repository of ongoing work and team responsibilities. The inclusion of agents as integral participants allows their contributions to be showcased within the same boards, task histories, and activity feeds that the rest of the team relies on, enhancing transparency and collaboration.
The service operates on a freemium model, where the Free plan accommodates unlimited members, allows for up to 5 projects, and provides 25 AI credits. For those seeking more advanced features, the Pro plan is priced at 3 USD per editor, while the Business plan costs 6 USD per editor. Comprehensive details regarding the privacy policy, terms of service, and support documentation can be easily accessed on the Taskfolk website, ensuring users have the resources they need for a smooth experience. Overall, Taskfolk is designed to create a cohesive environment for human and AI collaboration in project management.
API Access
Has API
API Access
Has API
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Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$3/month/editor
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Sōkosumi
Founded
2024
Country
United States
Website
www.sokosumi.com
Vendor Details
Company Name
Taskfolk
Website
taskfolk.ai
Product Features
Product Features
Project Management
Agile Methodologies
Budget Management
Client Portal
Collaboration Tools
Cost-to-Completion Tracking
Customizable Templates
Gantt Charts
Idea Management
Kanban Board
Milestone Tracking
Portfolio Management
Resource Management
Time & Expense Tracking
Traditional Methodologies
