---
title: "agentscope vs autotab-starter"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agentscope-ai-agentscope-vs-planetary-computers-autotab-starter"
tools: ["agentscope-ai-agentscope", "planetary-computers-autotab-starter"]
---

# agentscope vs autotab-starter

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick agentscope if agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities; pick autotab-starter if autotab-starter, licensed under MIT, serves as a Python framework for creating custom AI agents dedicated to browser automation to execute real-world tasks.

[agentscope](https://docs.agentscope.io/) reports 32k GitHub stars, 3.5k forks, and 374 open issues, last pushed Sep 18, 2026. [autotab-starter](https://autotab.com) has 1.0k stars, 65 forks, and 5 open issues, last pushed Dec 12, 2023. Figures are from public GitHub metadata via [agentscope's repository](https://github.com/agentscope-ai/agentscope) and [autotab-starter's repository](https://github.com/Planetary-Computers/autotab-starter).

| | [agentscope](/tools/agentscope-ai-agentscope.md) | [autotab-starter](/tools/planetary-computers-autotab-starter.md) |
| --- | --- | --- |
| Tagline | Build and run agents you can see, understand and trust. | Build browser agents for real world tasks |
| Stars | 31,912 | 1,007 |
| Forks | 3,517 | 65 |
| Open issues | 374 | 5 |
| Language | Python | Python |
| Adopt for | agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities. | autotab-starter, licensed under MIT, serves as a Python framework for creating custom AI agents dedicated to browser automation to execute real-world tasks. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agentscope](/tools/agentscope-ai-agentscope.md) | [autotab-starter](/tools/planetary-computers-autotab-starter.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 1012d |
| Open issues (now) | 374 | 5 |
| Stars delta | +2.9k (30d) | -3 (30d) |
| Open issues delta | +20 (30d) | 0 (30d) |
| Full report | [trust report](/tools/agentscope-ai-agentscope/trust.md) | [trust report](/tools/planetary-computers-autotab-starter/trust.md) |

## Decision facts: agentscope

- **Requirements:** Requires Python 3.11 or higher.
- **Adopt for:** agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities.
- **License detail:** Apache-2.0

## Decision facts: autotab-starter

- **Adopt for:** autotab-starter, licensed under MIT, serves as a Python framework for creating custom AI agents dedicated to browser automation to execute real-world tasks.

## Choose when

### Choose agentscope if…

- License: agentscope is Apache-2.0, autotab-starter is MIT.
- Requirements: Requires Python 3.11 or higher..
- Tags unique to agentscope: chatbot, large-language-models, llm, llm-agent.
- When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.

### Choose autotab-starter if…

- License: autotab-starter is MIT, agentscope is Apache-2.0.
- Tags unique to autotab-starter: ai, automation, browser.
- When you specifically need agent-oriented solutions that tightly couple with web browser activities and require fine-tuned automation on the internet.

## When NOT to use agentscope

- If your project requires a framework that supports Python versions lower than 3.11.
- When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.

## When NOT to use autotab-starter

- If your project demands proprietary licensing since restraints associated with closed-source tools cannot be met by autotab-starter's MIT license terms.
- When the focus of automation does not align closely with web browsers but requires control over other application types or direct system functionalities.

## Common questions

### What is the difference between agentscope and autotab-starter?

agentscope: Build and run agents you can see, understand and trust.. autotab-starter: Build browser agents for real world tasks. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentscope over autotab-starter?

Choose agentscope over autotab-starter when License: agentscope is Apache-2.0, autotab-starter is MIT; Requirements: Requires Python 3.11 or higher.; Tags unique to agentscope: chatbot, large-language-models, llm, llm-agent; When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.

### When should I choose autotab-starter over agentscope?

Choose autotab-starter over agentscope when License: autotab-starter is MIT, agentscope is Apache-2.0; Tags unique to autotab-starter: ai, automation, browser; When you specifically need agent-oriented solutions that tightly couple with web browser activities and require fine-tuned automation on the internet.

### When should I avoid agentscope?

If your project requires a framework that supports Python versions lower than 3.11. When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.

### When should I avoid autotab-starter?

If your project demands proprietary licensing since restraints associated with closed-source tools cannot be met by autotab-starter's MIT license terms. When the focus of automation does not align closely with web browsers but requires control over other application types or direct system functionalities.

### Is agentscope or autotab-starter more popular on GitHub?

agentscope has more GitHub stars (31,912 vs 1,007). Stars measure visibility, not whether either tool fits your constraints.

### Are agentscope and autotab-starter open source?

Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, autotab-starter: MIT).

### Where can I find alternatives to agentscope or autotab-starter?

GraphCanon lists graph-backed alternatives at [agentscope alternatives](/tools/agentscope-ai-agentscope/alternatives) and [autotab-starter alternatives](/tools/planetary-computers-autotab-starter/alternatives) ([agentscope markdown twin](/tools/agentscope-ai-agentscope/alternatives.md), [autotab-starter markdown twin](/tools/planetary-computers-autotab-starter/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/agentscope-ai-agentscope-vs-planetary-computers-autotab-starter.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agentscope or autotab-starter?

agentscope: Very active. autotab-starter: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for agentscope and autotab-starter?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentscope trust report](/tools/agentscope-ai-agentscope/trust); [autotab-starter trust report](/tools/planetary-computers-autotab-starter/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=agentscope-ai-agentscope`](/api/graphcanon/graph?tool=agentscope-ai-agentscope)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
