Cursor agent coordination

Coordinate Cursor agents before they touch files.

RAAV gives Cursor and other coding agents shared product memory, file claims, branch lanes, conflict checks, and founder-readable audit.

Join waitlist Open memory console

What RAAV gives agents

Cursor reads repo-local product and project memory before planning
Claims and conflict checks reduce accidental overlapping edits
Worktree lanes show branch goal, owner, task, and audit trail
Founder review keeps inferred product changes out of shared truth until approved

The problem

Cursor agents move quickly, but parallel work gets risky when file ownership, product scope, and verification live only in the active chat.

The RAAV layer

RAAV gives Cursor a shared operating layer: product handbook first, lane and claim before edit, submit and audit after work.

Cursor needs coordination once agent work becomes parallel

Cursor is often where founders and builders move fast inside the editor. RAAV adds a shared operating layer so Cursor agents know the product state, the active lanes, and the files they should avoid before they begin.

Editor-native speed needs repo-native memory

Cursor makes it easy to ask an agent to modify code in place. That speed is useful, but it also means product assumptions, file ownership, and verification rules can stay trapped in the current editor conversation.

RAAV keeps those details in the repository. Cursor can read the same product handbook and lane state as Codex or Claude Code, so the project does not depend on one active chat.

Shared instructions for Cursor and other agents
Product memory stored outside the chat window
Task and lane context before file edits

Claims help Cursor agents avoid stepping on each other

Parallel agent work becomes fragile when two sessions touch the same files with different assumptions. This is especially common during UI cleanup, refactors, and launch polish.

RAAV makes Cursor claim the task and files before editing. Other agents can see active claims, branches, and worktree lanes, which lowers the chance of accidental overlap.

File claims before edits
Conflict checks for active work
Branch lanes that explain why a worktree exists

Founder review keeps product direction coherent

Cursor agents may discover missing copy, unclear flows, or better product behavior while working. That is useful product feedback, but it should not automatically rewrite the shared plan.

RAAV routes those findings into proposals and memory candidates. The founder can approve what should become durable product truth and defer what belongs in a later release.

Proposal queue for product changes
Memory candidate queue for inferred facts
Audit trail for completed agent work

How the agent loop works

RAAV does not replace your coding agent. It gives the agent a durable operating system for product truth, task ownership, and proof.

Sync

Run RAAV instruction sync so Cursor receives the same operating rules as other agents.

Brief

Open lane brief and product handbook before selecting work.

Claim

Claim files for the selected task before editing.

Review

Submit work and route durable facts through memory candidates.

Cursor install prompt

Cursor can install and use RAAV from the repo. Start by asking it to sync agent instructions and create the first memory ledger before making product changes.

Paste this into your coding agent

Set up RAAV for Cursor in this repository. Sync Cursor rules, create the Product Handbook, show active tasks and lanes, claim files before edits, and submit verification plus memory candidates after the work.

Once installed, Cursor should treat RAAV as the source of product and project state before making broad changes.

Why this is different

Most tools either write code or track human tickets. RAAV sits between the founder and the coding agents as shared product memory, coordination, and audit.

Cursor rules are generated alongside AGENTS.md, CLAUDE.md, and Copilot instructions

Conflict checks are local-first and do not require another hosted PM tool

Audit exports show what each agent did and why it matters

Cursor chat context vs Cursor coordinated by RAAV

Product context

The active editor chat carries the current assumptions.

Cursor reads repo-local product memory shared with other agents.

Parallel edits

Overlaps are discovered when diffs collide.

Claims and conflict checks make ownership visible first.

Rules

Each assistant may follow different instructions.

RAAV syncs operating instructions across agent rule files.

Founder visibility

The founder has to infer state from chats and diffs.

RAAV shows tasks, lanes, submissions, proposals, and audit.

FAQ

Cursor users usually ask how RAAV fits with editor-native agent work and whether it conflicts with existing workflows.

Does RAAV replace Cursor rules?

No. RAAV can generate and sync Cursor rules so Cursor knows how to operate the project memory. The rules tell Cursor when to read, claim, check conflicts, submit, and propose changes.

Can Cursor and Codex share the same RAAV memory?

Yes. That is the point. RAAV gives multiple agents a shared product handbook, task ledger, claims, lanes, and audit trail inside the repo.

What is a file claim?

A file claim records that an agent is working on a task and expects to edit specific files. It does not lock the file at the OS level, but it gives other agents and the founder visibility before work overlaps.

Should Cursor write directly to product memory?

Cursor should submit inferred facts as memory candidates or proposals. The founder confirms what becomes durable product truth.

Related RAAV workflows

Cursor install prompt Branch lanes demo Refactor AI code