The 10 Best Project Management AI Agents

Project management is the most underappreciated job in tech. Plans rot, dependencies break, stakeholders forget, and someone — usually the PM — has to absorb all of it. In 2026, the smartest PMs are using AI agents to absorb 60% of that chaos for them.

This list rounds up the 10 best project management AI agents from the AI Skill Market library. From scrum facilitation to risk forecasting to stakeholder updates, every agent here handles a real PM task to a senior standard. Install in 60 seconds, then start delegating.

Selection Criteria

• Real PMO coverage — discovery → delivery → reporting
• Senior-level output
• Composable in multi-agent pipelines
• Free to install
• Works in startup and enterprise contexts

1. scrum-master

Runs your async standups, grooms backlogs, and produces sprint retros without anyone leaving Slack.

Use cases: Standups, grooming, retros Install: claude agent install scrum-master Why it made the list: It removes the meeting tax without losing the cadence.

2. program-manager

For multi-team initiatives. Tracks dependencies, surfaces risks, generates exec status updates.

Use cases: Cross-team coordination, exec reporting Install: claude agent install program-manager Why it made the list: The bigger the program, the more this earns its keep.

3. delivery-manager

Owns the "are we on track?" question. Tracks burndown, predicts slip risk, drafts mitigation plans.

Use cases: Slip forecasting, launch readiness Install: claude agent install delivery-manager Why it made the list: Delivery is unglamorous and critical. This agent owns it.

4. agile-coach

Coaches your team's process — spots anti-patterns, recommends ceremonies that work, helps PMs grow.

Use cases: Process diagnostics, team coaching Install: claude agent install agile-coach Why it made the list: Most teams need less process, not more. This agent helps them choose.

5. product-manager

For PMs who also own product, this agent handles PRDs, prioritization, and stakeholder narratives.

Use cases: PRDs, roadmaps, prioritization Install: claude agent install product-manager Why it made the list: It bridges the PM/product gap when one human wears both hats.

6. research-analyst

Pulls competitive intel and market briefs. Useful for strategy decks and exec one-pagers.

Use cases: Competitive briefs, market sizing Install: claude agent install research-analyst Why it made the list: It feeds your stakeholder updates with data.

7. technical-writer

Drafts plans, status reports, change requests, and meeting notes from raw inputs.

Use cases: Plans, RFCs, status reports Install: claude agent install technical-writer Why it made the list: Writing is half the PM job. This agent owns it.

8. qa-engineer

Defines test plans, acceptance criteria, and pre-launch QA checklists. Useful for delivery managers without dedicated QA.

Use cases: Test plans, acceptance criteria Install: claude agent install qa-engineer Why it made the list: It closes the "we forgot to test that" gap.

9. customer-success-manager

For PMs delivering customer-facing projects: drafts comms, escalation trees, and rollout plans.

Use cases: Customer comms, rollout plans Install: claude agent install customer-success-manager Why it made the list: Most launches succeed or fail on customer comms.

10. community-manager

Drafts community updates, monitors sentiment, surfaces emergent risks from forums and Discord.

Use cases: Community comms, sentiment tracking Install: claude agent install community-manager Why it made the list: OSS and community projects live on this.

Comparison Table

How to Choose

Startup PM? Start with scrum-master, delivery-manager, and technical-writer. Scale-up PMO? Add program-manager and agile-coach. Customer-facing rollout? Bring in customer-success-manager and qa-engineer. The pattern: pick the agent that owns your current biggest blocker, run it for two weeks, then add the next.

FAQ

Q: Do these replace human PMs? No. They make a single PM able to run the workload of 2-3.

Q: Will they work with Jira / Linear / Asana? Yes — via MCP integrations or by generating output you paste in.

Q: Are they free? Yes. Every agent here is free.

Q: Can I run them in parallel? Yes. Multi-agent orchestration is supported in Claude Code.

Q: Do they remember past sprints? Through your project's CLAUDE.md and agent memory layer.

Conclusion

PM is still a fundamentally human job. But the artifacts and the chasing? Those should be automated. Install three of these agents this week.

Browse /agents, /workflows, /browse, /submit.

Related Reading

• The 10 Best Product Manager AI Agents in 2026
• 150 AI Specialists You Can Hire in 30 Seconds
• The 10 Best AI Workflows for Solo Developers
• 113 Workflows That Run Your Digital Life

Sources

• Agency Agents on GitHub
• Claude Code Docs
• Clawflows on GitHub