Repo Prompt
Repo Prompt is a native macOS app for codebase context curation and multi-agent orchestration, handing tight, reviewable context to Claude
If your agent prompts keep hitting the ceiling on a large macOS codebase, Repo Prompt attacks the right layer: the context, not the model. The orchestrator's habit of checking sub-agent work against a plan.md is the part most rivals skip, and the 13 June 2026 open-source Community Edition removes the single-vendor risk that usually comes with betting your workflow on one app. Skip it on Windows or Linux, or if you don't yet have an agentic coding agent.
Verified 2d ago · liveness 75/100 · cite: rightaichoice.com/tools/repo-prompt
- macOS developers running Claude Code, Cursor, or Codex on large codebases
- Teams standardizing context preparation across multiple AI coding agents
- Engineers who need scoped multi-agent orchestration for complex, multi-file tasks
- Developers trying to cut token waste and sharpen AI code generation accuracy
- Windows or Linux users — the app is macOS-only
- Developers who haven't adopted an agentic coding agent yet
- Anyone wanting a fully automated, no-review context pipeline
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Skip Repo Prompt if you are on Windows or Linux, if you have not adopted an agentic coding agent yet, or if you want a hands-off pipeline that takes the whole repository and reviews nothing.
Sub-agent orchestration multiplies the model calls you pay for, since each dispatched agent bills against your own Claude, Codex, or Gemini account on top of the app itself.
Repo Prompt is now open source. The Community Edition is free and lives on GitHub as the active development branch; Classic remains available for the original manual prompt-building workflow but is archived with no future updates or support. The real cost of adoption is not the app — it is the provider usage you already pay for, since every curated handoff, oracle consult, and dispatched sub-agent draws down your own Claude, Codex, Gemini, or OpenCode quota.
In short
Repo Prompt — Repo Prompt is a native macOS app for codebase context curation and multi-agent orchestration, handing tight, reviewable context to Claude. Best for macOS developers running Claude Code, Cursor, or Codex on large codebases, Teams standardizing context preparation across multiple AI coding agents, Engineers who need scoped multi-agent orchestration for complex, multi-file tasks. Free to use.
What's new in Repo Prompt
Checked todayAcross the latest 3 updates: 1 launch and 2 news mentions.
Repo Prompt Community Edition is Live!
Community Edition shipped on GitHub as the active open-source home for the project's agent-first development, while Classic remains available for the original manual prompt-building workflow.
Repo Prompt's Next Chapter
The vendor looks back at Repo Prompt's evolution, argues curated context still matters for coding agents, and outlines what comes next as the app moves toward Community Edition.
Context Over Convenience
Argues coding agents are convenient but wasteful with context, and that planning with the full picture beats navigating in the fog.
What people actually say about Repo Prompt — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
46 mentions across 3 sources (Hacker News, Product Hunt, Lemmy) · researched Jul 3, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Dramatically reduces token usage when working with AI coding agents.
- +MCP server enables real-time context for Claude Code and Cursor.
- +Integrates with existing AI subscriptions without extra API costs.
- +Multiple users call it essential for daily development workflow.
- +Open-source Community Edition builds trust and community involvement.
- −No hard benchmarks comparing token savings vs. built-in features.
- −Users worry about missing dependencies during context selection.
- −Effectiveness on large monorepos is not well-documented.
- −Free tier limitations not clearly specified in community discussions.
- −Little discussion of support responsiveness or bug track record.
- • No extra per-token costs — relies on your existing AI subscription.
Viability Score
How well maintained and how widely used is Repo Prompt? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Context Builder explores the codebase and selects relevant files within a token budget
- Three per-file detail levels: tree-sitter CodeMaps, line-range slices, or full content
- CodeMaps expose function signatures so agents can scan up to 10x more files
- 15+ token-efficient MCP tools accessible from any MCP-compatible client
- MCP server integration with Claude Code, Cursor, OpenCode, and Gemini CLI
- Agent Mode runs Codex CLI, Claude Code, Gemini CLI, and OpenCode inside the app
- Multi-agent orchestration with sequential or parallel sub-agent dispatch
- Orchestrator verifies each sub-agent step against a shared plan.md
- Scoped file boundaries assigned per sub-agent
- Oracle reasoning model consulted mid-session for a repo-grounded second opinion
- Slash commands: /rp-orchestrate, /rp-review, /rp-refactor, /rp-investigate
- CLI tool for batch context processing and scripted workflows
- Personal agents like OpenClaw can launch the orchestrate workflow via CLI
- Native macOS desktop app with visual context building
- Repo Bench community leaderboard for large-context reasoning and file-editing precision
About Repo Prompt
Repo Prompt is a native macOS desktop app for developers who already run an agentic coding tool — Claude Code, Cursor, Codex CLI, Gemini CLI, or OpenCode — and are tired of watching prompts balloon. Instead of dumping a repository into a chat window, its Context Builder explores the project, picks the files that matter inside a token budget, and produces a curated file set you can review before handing it off. You choose the depth per file: tree-sitter CodeMaps that expose function signatures, line-range slices, or full content. The app exposes 15+ token-efficient MCP tools, so any MCP-compatible client can pull curated context automatically, plus a CLI for batch work and four bundled slash commands — /rp-orchestrate, /rp-review, /rp-refactor, /rp-investigate — covering the workflows developers repeat most. Orchestration is the other half. Plan with a reasoning model, decompose the plan into scoped tasks, dispatch sub-agents sequentially or in parallel across providers, and let the orchestrator verify each step against a shared plan.md. An Oracle reasoning model can be consulted mid-session for a second opinion grounded in the full repo, and Agent Mode runs CLI agents inside the app. As of 13 June 2026, Community Edition is the open-source active branch; the older Classic app, which covered manual file-picking and copy-paste, is archived with no future updates. macOS-only, and it assumes you already have an agentic setup.
Behind the Verdict
Most context tools sell you a token counter. Repo Prompt sells you a decision: which files, at what depth, inside what budget. That distinction matters when you're feeding a 500-file monorepo to an agent that costs real money per call — the Context Builder's three detail levels (CodeMaps, line slices, full content) let you keep signatures for navigation and reserve full reads for the two files you actually edit. We'd reach for this when the agent is already working but the results are noisy: wrong files touched, edits that miss the surrounding API, reviews that don't understand the diff. The bundled slash commands and the Repo Bench leaderboard (which ranks models on large-context reasoning and file-editing precision) are the practical bits — you get a repeatable handoff instead of a fresh prompting style every session. The orchestration layer is where it diverges from Cursor's in-editor agents or a bare MCP server. You plan with a reasoning model, split into scoped tasks, and the orchestrator verifies each sub-agent against plan.md before continuing. In practice this is worth it for multi-file features and investigations; for a one-line fix it's overhead you don't need. Where it bites: the whole product presumes macOS and an existing agentic setup. Windows and Linux developers are out, and if you haven't adopted Claude Code, Cursor, or Codex yet, you have no problem for Repo Prompt to solve. The Classic app is archived — anyone still on the manual copy-paste workflow should migrate to Community Edition rather than wait for updates that aren't coming. Compared with a plain MCP filesystem server, Repo Prompt adds curation, review, and verification on top of raw file access. Compared with Cursor's built-in context, it lives outside the editor and works across
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Real-world workflow fit
Concrete scenarios for the personas Repo Prompt actually fits — and what changes day-one when you adopt it.
You need to refactor the auth module but the repo is too large to prompt. You open Context Builder, let it explore and select the relevant files inside a token budget, review the curated set (auth.ts L5-89, api.ts L22-58, useAuth.ts L1-41), and hand it to Claude Code with /rp-refactor for a two-pass analyze-then-plan flow.
Outcome: The agent works from a reviewable, line-scoped context set rather than a repo dump, and the two-pass refactor preserves behaviour instead of rewriting the module.
You plan the feature with a reasoning model, decompose it into tasks, and dispatch sub-agents: OpenCode explores the codebase, Codex writes backend logic, Gemini updates configs. Each sub-agent gets scoped file boundaries and the orchestrator verifies each step against plan.md.
Outcome: Parallel agents work on disjoint files, the orchestrator catches drift from the shared plan, and multi-wait unblocks as soon as the first sub-agent finishes.
Use Cases
- Refactor a specific module with Claude Code without loading the entire codebase into the prompt.
- Debug a tricky function by zeroing in on the related files before prompting an agent.
- Get file suggestions from the MCP server while editing inside Cursor.
- Batch-process context for several files with the CLI before feeding them to Gemini for documentation.
- Run /rp-review to publish a git diff alongside the surrounding codebase context.
- Decompose a multi-part feature into scoped tasks and dispatch sub-agents in parallel across Codex, Gemini, and OpenCode.
- Consult the Oracle reasoning model mid-session when an agent needs a second opinion grounded in the full repo.
- Compare models on Repo Bench before committing a large-context task to one of them.
Limitations
- Repo Prompt curates context and coordinates agents; it ships no model of its own, so output quality is bounded by whichever agent or provider you connect.
- It assumes an existing agentic workflow — Claude Code, Cursor, Codex, OpenCode, or Gemini CLI — and offers little to someone who has not adopted one.
- The app is macOS-only, ruling out Windows and Linux teams.
- It is deliberately not a hands-off pipeline: curated file sets and orchestrated tasks are meant to be reviewed, which is friction for developers who would rather hand over the whole repo.
- The Classic app covering manual prompt-building is archived with no future updates or support, and Community Edition support runs through Discord and GitHub, so responsiveness tracks contributor interest rather than a support contract.
as of 2026-10-09
Verification history
We have re-verified Repo Prompt 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Repo Prompt tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Community Edition
Free / Open source
Ideal for
macOS developers running Claude Code, Cursor, Codex, or Gemini CLI who want curated context, MCP tools, and multi-agent orchestration from the actively maintained branch.
What this tier adds
The active, open-source development branch — Context Builder, CodeMaps, 15+ MCP tools, Agent Mode, and orchestration, with source on GitHub.
Classic (Legacy)
Free / Archived
Where the pricing makes sense
The company stage and team size where Repo Prompt's pricing actually pencils out — and where peers do it cheaper.
Repo Prompt is now open source. The Community Edition is free and lives on GitHub as the active development branch; Classic remains available for the original manual prompt-building workflow but is archived with no future updates or support. The real cost of adoption is not the app — it is the provider usage you already pay for, since every curated handoff, oracle consult, and dispatched sub-agent draws down your own Claude, Codex, Gemini, or OpenCode quota.
Setup time & first value
How long it actually takes to get something useful out of Repo Prompt — broken out by persona, not the marketing-page minute.
Most developers reach first value in a single sitting: install the macOS app, point Context Builder at a repository, and run one of the bundled slash commands such as /rp-review or /rp-refactor. Configuring the MCP server for Claude Code, Cursor, OpenCode, or Gemini CLI is a separate step. Full orchestration — plan decomposition, scoped sub-agent boundaries, plan.md verification — takes longer
Switching to or from Repo Prompt
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual prompt building in an IDE: install Repo Prompt, let Context Builder select files within a token budget, and review the curated set the way you used to review your own picks.
- →From pasting whole repositories into Claude Code or Cursor: connect the MCP server, then use slices and CodeMaps so agents see more files inside the same budget.
- →From Classic: Community Edition is the active branch and covers the modern agent-first workflow; Classic itself is archived with no future updates.
- →From a single-agent workflow: start with Agent Mode for one CLI agent, then move to orchestration once you want tasks split across providers.
- ↗To dumping full repos into an agent: you lose the token budget, the reviewable line-scoped file set, and CodeMaps that let agents survey roughly ten times more files.
- ↗To a hands-off autonomous agent: you give up the plan.md shared source of truth and the orchestrator verifying each sub-agent step against it.
- ↗To Windows or Linux tooling: Repo Prompt is macOS-only, so you leave the native app and the MCP tool set behind.
- ↗To a single-provider setup: you lose parallel dispatch across Codex, Gemini, and OpenCode and the Oracle consult grounded in your full repo.
Integrations
Resources & Guides
Tutorials & Learning
Getting started with Repo Prompt
Eric Provencher
What is Repo Prompt for?
Eric Provencher
Repo Prompt - Beginner’s Guide
Ty Robben
YouTube returned 6 videos for “Repo Prompt”, and we withheld 1: 1 did not mention Repo Prompt. Showing the 5 we can prove are about Repo Prompt.
Official links
Tools that pair well with Repo Prompt
Common stack mates teams adopt alongside Repo Prompt, with the specific reason each pairing earns its keep.
Sourcegraph Cody
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Claude
Claude is Anthropic's AI assistant for long-document analysis, agentic coding, and multi-step work inside one chat and Cowork surface.
Bito
Bito Governor is an AI model router with a code context engine that cuts coding-agent spend by 40-70%.
Featured Head-to-Head Comparisons
Repo Prompt vs Spider Cloud
Choose Repo Prompt if your primary need is feeding the right code context to AI coding agents (Claude Code, Cursor) while cutting token costs. Choose Spider Cloud if your AI agents or RAG pipelines require live, structured web data at scale. They solve different problems: one optimizes local context, the other fetches external data.
Repo Prompt vs Voyage Ai
For improving AI code generation quality without token waste, Repo Prompt is the practical choice, especially with its new open-source Community Edition. Voyage AI targets enterprise RAG with specialized embeddings, but its opaque pricing and lack of public self-serve options make it less accessible for individual developers.
Repo Prompt vs Temporal Ai
Choose Repo Prompt if your primary need is optimizing context for AI coding agents to reduce token usage and improve code generation accuracy. Choose Temporal AI if you need a battle-tested platform for orchestrating reliable, long-running workflows that survive failures, especially for multi-step AI agent pipelines. They solve different problems: one sharpens the input to AI, the other ensures the execution is durable.
Appgyver vs Repo Prompt
Choose Repo Prompt if you're a macOS developer using AI coding agents and need to reduce token waste with curated context and multi-agent orchestration. Choose AppGyver if you're an SAP customer building extensions or automations on SAP BTP with a mix of low-code and pro-code capabilities.
Alternatives to Repo Prompt
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Sourcegraph Cody: an AI coding assistant that grounds chat, completions, and agent workflows in your entire multi-repo codebase.
Frequently Asked Questions
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