---
title: "AstrBot vs TinyZero"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/astrbotdevs-astrbot-vs-jiayi-pan-tinyzero"
tools: ["astrbotdevs-astrbot", "jiayi-pan-tinyzero"]
---

# AstrBot vs TinyZero

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick AstrBot if astrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license; pick TinyZero if tinyZero is a scaled-down version of the R1-Zero architecture from DeepSeek, focusing on minimal setup with essential components.

[AstrBot](https://astrbot.app) reports 36k GitHub stars, 2.5k forks, and 1.3k open issues, last pushed Jul 9, 2026. [TinyZero](https://github.com/Jiayi-Pan/TinyZero) has 13k stars, 1.6k forks, and 82 open issues, last pushed Feb 27, 2026. Figures are from public GitHub metadata via [AstrBot's repository](https://github.com/AstrBotDevs/AstrBot) and [TinyZero's repository](https://github.com/Jiayi-Pan/TinyZero).

| | [AstrBot](/tools/astrbotdevs-astrbot.md) | [TinyZero](/tools/jiayi-pan-tinyzero.md) |
| --- | --- | --- |
| Tagline | AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature | Minimal reproduction of DeepSeek R1-Zero |
| Stars | 36,186 | 13,192 |
| Forks | 2,513 | 1,582 |
| Open issues | 1,315 | 82 |
| Language | Python | Python |
| Adopt for | AstrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license. | TinyZero is a scaled-down version of the R1-Zero architecture from DeepSeek, focusing on minimal setup with essential components. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | TinyZero is licensed under Apache-2.0, allowing for broad usage with attribution requirements. |
| Categories | LLM Frameworks, AI Agents | LLM Frameworks |

## Trust and health

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

| | [AstrBot](/tools/astrbotdevs-astrbot.md) | [TinyZero](/tools/jiayi-pan-tinyzero.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 2d | 134d |
| Open issues (now) | 1.3k | 82 |
| Owner type | Organization | User |
| Security scan | No MCP manifest | No criticals |
| Full report | [trust report](/tools/astrbotdevs-astrbot/trust.md) | [trust report](/tools/jiayi-pan-tinyzero/trust.md) |

## Decision facts: AstrBot

- **Adopt for:** AstrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license.

## Decision facts: TinyZero

- **Pricing:** freemium - The framework itself is free and can be used without charge;
- **Requirements:** Min 4 GB RAM; Specific Python environment setup (Python 3.9) and dependency installation steps are outlined in the README.
- **Adopt for:** TinyZero is a scaled-down version of the R1-Zero architecture from DeepSeek, focusing on minimal setup with essential components.
- **License detail:** TinyZero is licensed under Apache-2.0, allowing for broad usage with attribution requirements.

## Choose when

### Choose AstrBot if…

- License: AstrBot is AGPL-3.0, TinyZero is Apache-2.0.
- Tags unique to AstrBot: ai, gemini, docker, discord.
- Also covers AI Agents.
- AstrBot ships Docker support for self-hosted deployment.
- When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others.

### Choose TinyZero if…

- License: TinyZero is Apache-2.0, AstrBot is AGPL-3.0.
- Pricing: The framework itself is free and can be used without charge;.
- Requirements: Min 4 GB RAM; Specific Python environment setup (Python 3.9) and dependency installation steps are outlined in the README..
- Tags unique to TinyZero: ray, deepseek, vllm, r1-zero.
- When you need a streamlined implementation of the R1-Zero architecture without unnecessary complexity.

## When NOT to use AstrBot

- If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development.
- In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad,
- +adaptability.

## When NOT to use TinyZero

- If your project demands extensive customization options not available in this minimal version.
- When working with environments where specific versions of PyTorch older than 2.4.0 are required, as TinyZero mandates the use of PyTorch 2.4.0 or allows vLLM to manage its installation.

## Common questions

### What is the difference between AstrBot and TinyZero?

AstrBot: AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature. TinyZero: Minimal reproduction of DeepSeek R1-Zero. See the comparison table for live GitHub stats and shared categories.

### When should I choose AstrBot over TinyZero?

Choose AstrBot over TinyZero when License: AstrBot is AGPL-3.0, TinyZero is Apache-2.0; Tags unique to AstrBot: ai, gemini, docker, discord; Also covers AI Agents; AstrBot ships Docker support for self-hosted deployment; When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others.

### When should I choose TinyZero over AstrBot?

Choose TinyZero over AstrBot when License: TinyZero is Apache-2.0, AstrBot is AGPL-3.0; Pricing: The framework itself is free and can be used without charge;; Requirements: Min 4 GB RAM; Specific Python environment setup (Python 3.9) and dependency installation steps are outlined in the README.; Tags unique to TinyZero: ray, deepseek, vllm, r1-zero; When you need a streamlined implementation of the R1-Zero architecture without unnecessary complexity.

### When should I avoid AstrBot?

If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development. In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad, +adaptability.

### When should I avoid TinyZero?

If your project demands extensive customization options not available in this minimal version. When working with environments where specific versions of PyTorch older than 2.4.0 are required, as TinyZero mandates the use of PyTorch 2.4.0 or allows vLLM to manage its installation.

### Is AstrBot or TinyZero more popular on GitHub?

AstrBot has more GitHub stars (36,186 vs 13,192). Stars measure visibility, not whether either tool fits your constraints.

### Are AstrBot and TinyZero open source?

Yes - both are open-source projects on GitHub (AstrBot: AGPL-3.0, TinyZero: Apache-2.0).

### Where can I find alternatives to AstrBot or TinyZero?

GraphCanon lists graph-backed alternatives at [AstrBot alternatives](/tools/astrbotdevs-astrbot/alternatives) and [TinyZero alternatives](/tools/jiayi-pan-tinyzero/alternatives) ([AstrBot markdown twin](/tools/astrbotdevs-astrbot/alternatives.md), [TinyZero markdown twin](/tools/jiayi-pan-tinyzero/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/astrbotdevs-astrbot-vs-jiayi-pan-tinyzero.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, AstrBot or TinyZero?

AstrBot: Very active. TinyZero: Slowing. 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 AstrBot and TinyZero?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AstrBot trust report](/tools/astrbotdevs-astrbot/trust); [TinyZero trust report](/tools/jiayi-pan-tinyzero/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=astrbotdevs-astrbot`](/api/graphcanon/graph?tool=astrbotdevs-astrbot)
- 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/_
