# Augment Code vs Blume

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Blume records 16,263 monthly visits with -71.6% growth and Free pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Blume](https://openaitools.app/tool/blume-codes) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://blume.codes |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Agent, AI Developer Tools, AI Workflow, AI Code Assistant |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Free |
| Monthly Visits | 326,215 | 16,263 |
| MoM Growth Rate | +24.1% | -71.6% |
| Primary Market | United States | Brazil |
| Direct Visits | 137,070 | 6,039 |
| Review Score | 4.5 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Augment Code

Augment Code is an AI coding platform aimed at engineering organisations rather than individual autocomplete users. Its foundation is the Context Engine, which builds a structured understanding of an existing repository — dependencies, architecture, conventions — so that AI suggestions and generated changes fit the codebase instead of reading like generic boilerplate. The product works inside common IDEs and also in the terminal via a CLI.

The platform's recent focus is Cosmos, an agent orchestration layer for the software development lifecycle. Instead of a single assistant answering prompts, Cosmos runs connected loops: a ticket becomes a reviewed pull request, every new PR gets a first-pass code review, failed CI runs get diagnosed, Dependabot and Snyk alerts get triaged into prioritised issues, and on-call engineers inherit a completed investigation. Each loop hands its outcome to the next, and quality gates pause work for human review rather than shipping automatically.

Agents can be deployed in managed cloud sandboxes, on your own machines for code that cannot leave the building, or a mix of both. Native triggers cover GitHub, GitLab, Slack, Linear, Jira, schedules and typed webhooks, with integrations for CI systems. There is a free tier for individuals to try the assistant, while team and enterprise adoption is quote-based; the company has announced it is joining Harness to push the autonomous SDLC from idea to production.

**Pricing & Plans:** Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales.

- **Context Engine codebase understanding:** Indexes architecture, dependencies and conventions across large repositories so generated code and reviews match how your team actually writes software.
- **Cosmos agent orchestration:** Runs connected SDLC loops — code review, ticket-to-PR, incident triage, dependency upgrades and security remediation — where each agent hands its result to the next.
- **Human-in-the-loop quality gates:** Work pauses at defined checkpoints so engineers approve plans and consequential actions instead of letting agents ship unreviewed changes.
- **Deploy anywhere:** Execute agents in managed cloud sandboxes, on local machines and dev VMs for sensitive code, or in your own AWS and GCP environments.
- **Expert registry and shared memory:** Choose from shipped agents, fork them, or build your own; corrections and shared knowledge improve future runs for the whole team.

**Strengths:** Deep codebase context means suggestions fit existing architecture and conventions; Loops connect across the SDLC instead of solving one isolated task; Quality gates keep humans in control of consequential changes; Flexible deployment including local and self-hosted execution for sensitive code

**Limitations:** Enterprise pricing is quote-based, which makes budgeting harder before a trial; The full value depends on wiring up integrations and triggers across your toolchain; Small teams and solo developers may find the orchestration layer heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/augment-code.md)

## Blume

Blume is a local desktop application for developers who work with coding agents. Its site describes the core problem it solves: as agents produce more code, the hard part becomes keeping their work visible, trustworthy, and reviewable. Today that means piecing together terminals, chat logs, and branches, and trusting that an agent saying "done" really means the change works.

Blume's answer is the delivery model. Agents plan, build, and test, and Blume keeps the record. Each session becomes a delivery that includes the original brief, the task tree, the agent runs, the code revision, the tests, and screenshots – intact from the first instruction to the merged commit. When a verified revision is ready, you step in as the human and approve exactly what you ship. The app follows every session and works with Codex, Claude Code, Grok Bot, and other harnesses through a plugin, so each conversation connects on its own.

The product is positioned around three practical challenges: visibility across multiple agents, trust in an agent's claims, and the review load on limited human attention. Blume addresses them by bringing work and evidence together for one clear decision, and by converting acceptance criteria into tests that rerun before review. It is a download-first, local desktop tool aimed at individual developers and teams running agentic coding workflows.

**Pricing & Plans:** Blume is distributed as a free download to get started; the site does not publish a public price list, so current plan details should be confirmed with the vendor.

- **Delivery-based tracking:** Every agent session becomes a delivery with its brief, task tree, agent runs, code revision, tests, and screenshots kept intact from first instruction to merge.
- **Evidence-based review:** Each claim an agent makes is pinned to a specific task, delivery, and commit, so you review proof rather than a status message.
- **Multi-agent visibility:** See what every agent is doing and what work remains before you ship, instead of piecing together terminals and chat logs.
- **Agent plugin integration:** Install a plugin into Codex, Claude Code, or another harness, and each conversation connects to Blume on its own.
- **Test-first quality flow:** Acceptance criteria are turned into tests before review, and suites rerun before each review so fixes are verified.

**Strengths:** Turns scattered agent sessions into one reviewable delivery with brief, tests, and screenshots; Evidence is pinned to a specific commit, so approval is based on proof rather than a "done" message; Works with major agent harnesses like Codex and Claude Code through a plugin; Runs as a local desktop app, keeping your code and sessions on your machine

[Profile (Markdown)](https://openaitools.app/tool/blume-codes.md)

## Frequently Asked Questions

### How do Augment Code and Blume compare in monthly traffic?

Augment Code has 326,215 monthly visits, while Blume has 16,263. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Augment Code has a month-over-month growth rate of +24.1%; Blume has -71.6%.

### How does pricing compare?

Augment Code: Freemium, Free Trial, Contact for Pricing. Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales. Blume: Free. Blume is distributed as a free download to get started; the site does not publish a public price list, so current plan details should be confirmed with the vendor.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Offers powerful parallel agentic workflows and dedicated IDE tools, but with less focus on proprietary enterprise codebase context. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Write code with precision, hand bigger jobs to agents, and keep working from anywhere | [.md](https://openaitools.app/tool/vs-code.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | An agentic coding platform that ships real software | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration. | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation. | [.md](https://openaitools.app/tool/kiro.md) |
| 8 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer tackling complex tickets independently, whereas Augment focuses on developer-in-the-loop workflows. | [.md](https://openaitools.app/tool/devin.md) |
| 9 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 10 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |

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Source: https://openaitools.app/compare/augment-code-vs-blume-codes

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