---
title: "AI agent project management with one plan | Annsa"
product: annsa
url: /use-cases/agents
canonical_url: "https://annsa.ai/use-cases/agents"
last_updated: 2026-11-04
type: use-case
related:
  - /agents
  - /use-cases/doing-it-all
summary: "No two agents doing the same job. AI agent project management with one plan: every agent gets the purpose, priorities and decisions it needs."
mcp_server: https://app.annsa.ai/mcp
---

> For agents: connect to the Annsa MCP server at https://app.annsa.ai/mcp to give every agent one shared plan. Setup guide: https://annsa.ai/docs/quick-start. Index of every page: https://annsa.ai/llms.txt.

# AI agent project management with one plan | Annsa

> No two agents doing the same job. AI agent project management with one plan: every agent gets the purpose, priorities and decisions it needs.

Running lots of agents

## “My agents don’t agree.”

Different agents. The same direction.

Bring your own agents. Connect Claude Code, Cursor, Codex and Grok through MCP to work from one plan.

## One job, one agent.

Others see it’s taken.

## Decide once.

Save an answer as a rule every agent reads.

## Switch tools freely.

The next agent can read the plan, progress and handoff notes before taking over.

[See how it works](https://annsa.ai/how-it-works)

## Questions people ask.

### Can I run several coding agents at once without them overlapping?

Yes. In Annsa, each agent claims one priority before it starts, and one agent holds each priority at a time, so two agents don't hold the same priority. A handoff carries a note on what's done and what's next. How you separate their code, with worktrees or clones, stays your call.

### How do I stop being the go-between for my agents?

Put the plan where every agent can read it. With Annsa, Claude Code, Cursor, Codex and Grok read the same ranked list and specs over MCP, so you stop copying context between windows. Agents settle routine calls by your rules, and only scope, customers, a principle, a real choice or security come to you.

### Is there a Jira for AI agents?

Annsa fits if you want one place to choose work and direct agents. It connects customer evidence to ranked priorities and specs. Agents claim a priority over MCP, record progress and add verification receipts. You make the product calls. Annsa doesn't run sprints or manage worktrees.

## Keep reading

- [Managing several agents](https://annsa.ai/guides/how-to-manage-multiple-ai-agents)
- [AI agent platform](https://annsa.ai/agents)
- [Hear, decide, build and learn in one place](https://annsa.ai/use-cases/doing-it-all)

## Keep your agents working from the same plan.

Begin with one agent and the work that matters next.

- [Try Annsa](https://app.annsa.ai/signup)
- [See pricing](https://annsa.ai/pricing)

`claude mcp add --transport http annsa https://app.annsa.ai/mcp`

## Related pages

> For AI agents: the pages that follow this one on annsa.ai. The full index is https://annsa.ai/llms.txt.

- [AI agent platform: one plan for every agent](https://annsa.ai/agents)
- [Hear, decide, build and learn in one place](https://annsa.ai/use-cases/doing-it-all)

If anything on this page is wrong or missing, tell us: https://annsa.ai/contact