mini-swe-agent vs Amp

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Data last refreshed August 2026

mini-swe-agent

Princeton University & Stanford University

The 100-line AI agent that solves GitHub issues and assists in your command line.

Open Source

68% verification coverage

Amp

Amp Frontier Corporation

The frontier coding agent — web, terminal & phone

Freemium

83% verification coverage

Trust & Reliability

mini-swe-agent

Customers (per vendor):Meta, NVIDIA, Essential AI +3

Amp

Uptime:99.40% (90-day)Status page

Users:1M-10M

Customers (per vendor):Intel, Westpac, Indeed +7

SOC 2

Overall Winner: Amp

5.7/10 vs mini-swe-agent at 4.9/10

Leads in:

Planning Quality

Integration

Compliance & Data Protection

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

mini-swe-agent

4.9

avg score

Amp

5.7

avg score

Amp leads overall — particularly in Ease of Use and Integration and 2 more.

mini-swe-agent has an edge in Support and Performance.

Based on 7 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Overall Winner

Amp

5.7 / 10

mini-swe-agent

Best For

Researchers building baseline AI agent systems

Developers seeking a simple and hackable coding agent

Teams doing fine-tuning or reinforcement learning on agent scaffolds

Users who need a quick command-line tool for local development

Amp

Best For

Developers running several long-lived agents in parallel without local worktrees or port conflicts

Teams that want agents to wake on outside events like a new Linear issue or CI failing on main

Developers who want to review agent changes and preview the running app from any device

Teams collaborating on the same agent session together via multiplayer orbs

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

mini-swe-agent is best for

✍️Writing & Content7.0💬Chat & Conversation7.0🤖Automation & Agents6.3

Amp is best for

✍️Writing & Content9.0💬Chat & Conversation9.0🔍Research9.0

Filter by your use case:

Limitations

mini-swe-agent

Cons

Does not have any tools other than bash
Does not use the tool-calling interface of LLMs
Requires Python knowledge for advanced customization

Amp

Cons

No cons listed yet.

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Customization5

Support5

Integration5

Compliance & Data Protection5

Performance5

Planning Quality5

Dimension Comparison

mini-swe-agent

4.9

/ 10

Amp

5.7

/ 10

Your pick

Dimension Breakdown

Ease of Use

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

mini-swe-agent

1.0

Amp

3.0▲ +2.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

mini-swe-agent

7.0

Amp

7.0

Support

How strong is the documentation, customer support, community, and learning resources?

mini-swe-agent

8.0▲ +3.0

Amp

5.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

mini-swe-agent

4.0

Amp

7.0▲ +3.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

mini-swe-agent

1.0

Amp

4.0▲ +3.0

Performance

Calculated

Latency + throughput speed

mini-swe-agent

8.0▲ +3.0

Amp

5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

mini-swe-agent

5.0

Amp

9.0▲ +4.0

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

mini-swe-agent

Task

Amp

7.0

Bug Detection

9.0

5.0

Code Explanation

9.0

6.0

Refactoring

9.0

5.0

Test Generation

8.0

6.0

Multi Language Support

8.0

7.0

Context Understanding

9.0

4.0

Documentation Generation

7.0

4.0

Performance Optimization

6.0

2.0

Security Scanning

5.0

3.0

Workflow Building

8.0

1.0

Trigger Variety

8.0

2.0

Action Library

7.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

What are the main differences between mini-swe-agent and Amp?

mini-swe-agent — "The 100-line AI agent that solves GitHub issues and assists in your command line". Amp — "The frontier coding agent — web, terminal & phone". The Features section on this page compares them side by side.

Who is mini-swe-agent best for compared with Amp?

mini-swe-agent is best for Researchers building baseline AI agent systems; and for Developers seeking a simple and hackable coding agent. Amp is best for Developers running several long-lived agents in parallel without local worktrees or port conflicts; and for Teams that want agents to wake on outside events like a new Linear issue or CI failing on main.

How does the pricing of mini-swe-agent compare with Amp?

mini-swe-agent is open source, includes a free plan. Amp is freemium, includes a free plan, paid plans start at $20/month. Always verify current pricing with the vendor.

Does mini-swe-agent or Amp have a free plan?

mini-swe-agent is open source. Amp has a free plan. Always verify current pricing with the vendor.

Do mini-swe-agent and Amp offer an API?

mini-swe-agent offers a public API. Amp offers a public API.

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