For developers who already work with ChatGPT, Claude, Cursor, or VS Code
Project management for developers and AI assistants
Agiflow is a simple project board your AI assistant can work from too. Keep tasks, files, environment notes, and workflow locks in one place, so code work does not disappear into chat history.
No credit card required. Free forever for 2 seats and 3 projects.
Is Agiflow good project management for developers?
Yes, when your developer workflow already includes an AI assistant. Agiflow gives developers and small technical teams a shared board for tasks, artifacts, project context, and handoffs. Your assistant can work from the same project state you use, while access stays scoped to the workspace, project, or task you authorize.
Good fit
- You use ChatGPT, Claude, Cursor, VS Code, or another assistant during development.
- You want project context to survive beyond a single chat.
- You need task status, files, and handoffs visible to both people and assistants.
- You want lightweight coordination, not a heavyweight product operations system.
Not the right fit
- You need enterprise roadmap planning, sprint reports, or engineering analytics.
- You want Agiflow to run hosted coding agents for you.
- You need a full replacement for GitHub, Linear, Jira, or Azure DevOps.
The problem is context drift
Context drift happens when developer work moves across chats, issues, pull requests, notes, and local files without one durable project state. The next assistant prompt has to reconstruct what happened, so decisions, task status, and review context get fuzzy.
Tasks split from implementation
Issues, pull requests, notes, and AI chats each hold part of the truth.
Assistants see fragments
A coding assistant can help in the moment, but it needs current project state to stay useful across sessions.
Handoffs overlap
When people and assistants work on the same queue, visible status and locks matter.
A shared board for the way developers actually work
A developer project board should keep implementation state, review context, and assistant handoffs in one place. Agiflow keeps tasks, work units, statuses, comments, artifacts, project environments, and locks together so the next person or assistant can see what belongs with the work.
Track work without ceremony
Use projects, work units, tasks, comments, and kanban statuses to keep implementation work visible.
Keep files next to the task
Attach project artifacts and link them to tasks or work units, so specs, outputs, and review files stay findable.
Share context with boundaries
Use project environments and masked vault entries for context that needs role-aware access.
Connect the assistant you already use
Agiflow connects external AI assistants to project data through MCP, the Model Context Protocol. You choose the workspace, project, or task scope, then the assistant can inspect and update only the project data it is allowed to use.
ChatGPT
Authorize with OAuth, choose the workspace, project, or task scope, and work with project and task widgets inside ChatGPT.
Claude Desktop, Cursor, VS Code
Use Agiflow with MCP-compatible clients instead of forcing your team into one assistant.
Scoped access
Connections are bounded to the scope the user grants, with project access controlled by organization roles and team assignment.
Use it from scripts and pipelines too
Developer task tracking should work from automation as well as the browser. Agiflow CLI supports JSON-friendly task, artifact, and workflow lock operations, so scripts and pipelines can update project state without clicking through the board.
Create and move tasks
Batch-create tasks, list statuses, and move work across the board from the CLI.
Upload artifacts
Attach generated outputs or review artifacts back to the project.
Check workflow locks
Automation can check, acquire, and release locks so duplicate work does not start silently.
Where Agiflow fits
Agiflow fits beside developer tools that already manage code, issues, roadmaps, or enterprise process. Use it when those tools do not give your assistant a simple, scoped project board to work from.
| Tool | Keep using it for | Use Agiflow for |
|---|---|---|
| GitHub Projects | Issues, pull requests, code-adjacent planning | Assistant-readable project context and lightweight shared task state |
| Linear | Product operations, cycles, roadmap work, issue workflows | Small-team assistant coordination and scoped board access |
| Jira or Azure DevOps | Enterprise workflows, reporting, governance | Focused AI-assisted task execution and handoffs |
| ChatGPT, Claude, Cursor, VS Code | The assistant interface where you plan and code | The board, files, and project context the assistant can use |
Start free while you test the workflow
Agiflow Free is $0 forever with 2 seats, 3 projects, 2 API keys, 3 assistant connections, and 30 remote execution minutes per month. Team is $9 per seat per month, or $7 per seat per month billed annually, with unlimited seats, projects, API keys, and assistant connections.
The Free plan is not a trial. No credit card required.
Developer questions
These answers cover the project management for developers questions that matter before connecting an assistant: fit, MCP access, scope, CLI support, pricing, and the boundary that Agiflow does not run coding agents.
Is Agiflow project management software for developers?
Yes. Agiflow is a lightweight project board for developers and small technical teams, especially when the team already works with AI assistants such as ChatGPT, Claude, Cursor, or VS Code. It supports projects, work units, tasks, task statuses, comments, artifacts, assistant connections, and workflow locks.
Does Agiflow run coding agents?
No. Agiflow does not run or host AI agents. It provides a project board, tools, skills, widgets, and scoped connections that external assistants can use. Your assistant remains ChatGPT, Claude, Cursor, VS Code, or another client you choose.
What is MCP project management?
MCP project management means an AI assistant can connect to project data through the Model Context Protocol instead of relying only on pasted prompts or chat history. In Agiflow, that means the assistant can work with allowed project, task, artifact, and workflow data through scoped access.
How is Agiflow different from GitHub Projects?
GitHub Projects is strongest for work that lives beside issues and pull requests. Agiflow is different because it gives your AI assistant a scoped project board to work from across chats, tasks, artifacts, and workflow locks. Many teams should use both rather than replacing GitHub Projects.
How is Agiflow different from Linear or Jira?
Linear and Jira are broader issue tracking and product operations systems. Agiflow is lighter: it focuses on a shared board for people and AI assistants, with task state, artifacts, assistant connections, CLI workflows, and locks. It is not trying to replace every roadmap, sprint, report, or enterprise workflow.
Can I connect ChatGPT to Agiflow?
Yes. The documented ChatGPT journey uses OAuth consent. The user chooses which workspace, project, or task the app can access before ChatGPT receives access to Agiflow tools and widgets.
Can I use Agiflow with Claude Desktop, Cursor, or VS Code?
Agiflow provides MCP tools, skills, and widgets for external AI assistants including ChatGPT, Claude Desktop, VS Code, Cursor, and other compatible clients. Exact setup steps may differ by client, so use the integrations directory for available setup content. Browse integrations.
Is there a CLI?
Yes. Agiflow CLI supports task management, status listing, batch task creation, task moves, artifact upload, and workflow lock management. CLI workflows are designed for JSON output so scripts and pipelines can compose commands.
How is access scoped?
Agiflow resources are organization-scoped. Owners and admins can access organization-wide projects, while regular members need team assignment for project access. ChatGPT integration also lets the user choose workspace, project, or task scope during authorization.
Is Agiflow free for developers?
Yes. The Free plan is $0 forever and includes 2 seats, 3 projects, 2 API keys, 3 assistant connections, and 30 remote execution minutes per month. The Team plan is $9 per seat per month, or $7 per seat per month billed annually.
Give your assistant a board, not another chat thread
Start with a free project, connect the assistant you already use, and keep developer work tied to tasks, files, status, and reviewable handoffs.
No credit card required. Free forever on the Free plan.