---
title: "Agent-Reach vs zpy"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-zumolabs-zpy"
tools: ["panniantong-agent-reach", "zumolabs-zpy"]
---

# Agent-Reach vs zpy

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick Agent-Reach when license: Agent-Reach is MIT, zpy is GPL-3.0; pick zpy when license: zpy is GPL-3.0, Agent-Reach is MIT.

[Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [zpy](https://github.com/ZumoLabs/zpy) has 322 stars, 34 forks, and 4 open issues, last pushed Dec 4, 2021. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [zpy's repository](https://github.com/ZumoLabs/zpy).

| | [Agent-Reach](/tools/panniantong-agent-reach.md) | [zpy](/tools/zumolabs-zpy.md) |
| --- | --- | --- |
| Tagline | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | Synthetic data for computer vision. An open source toolkit using Blender and Python. |
| Stars | 54,715 | 322 |
| Forks | 4,509 | 34 |
| Open issues | 144 | 4 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | GPL-3.0 |
| Categories | LLM Frameworks, AI Agents, Developer Tools | Developer Tools, Computer Vision |

## Trust and health

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

| | [Agent-Reach](/tools/panniantong-agent-reach.md) | [zpy](/tools/zumolabs-zpy.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 1679d |
| Open issues (now) | 144 | 4 |
| Owner type | User | Organization |
| Security scan | No MCP manifest | 2 low (2 low) |
| Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/zumolabs-zpy/trust.md) |

## Choose when

### Choose Agent-Reach if…

- License: Agent-Reach is MIT, zpy is GPL-3.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers LLM Frameworks, AI Agents.

### Choose zpy if…

- License: zpy is GPL-3.0, Agent-Reach is MIT.
- Tags unique to zpy: ml, deep-learning, blender-addon, ai.
- Also covers Computer Vision.

## When NOT to use Agent-Reach

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## When NOT to use zpy

- Last GitHub push was 1680 days ago (dormant maintenance, Dec 4, 2021). Validate activity before betting a new project on zpy.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## Common questions

### What is the difference between Agent-Reach and zpy?

Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. zpy: Synthetic data for computer vision. An open source toolkit using Blender and Python.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Agent-Reach over zpy?

Choose Agent-Reach over zpy when License: Agent-Reach is MIT, zpy is GPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents.

### When should I choose zpy over Agent-Reach?

Choose zpy over Agent-Reach when License: zpy is GPL-3.0, Agent-Reach is MIT; Tags unique to zpy: ml, deep-learning, blender-addon, ai; Also covers Computer Vision.

### When should I avoid Agent-Reach?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### When should I avoid zpy?

Last GitHub push was 1680 days ago (dormant maintenance, Dec 4, 2021). Validate activity before betting a new project on zpy. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### Is Agent-Reach or zpy more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 322). Stars measure visibility, not whether either tool fits your constraints.

### Are Agent-Reach and zpy open source?

Yes - both are open-source projects on GitHub (Agent-Reach: MIT, zpy: GPL-3.0).

### Where can I find alternatives to Agent-Reach or zpy?

GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [zpy alternatives](/tools/zumolabs-zpy/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [zpy markdown twin](/tools/zumolabs-zpy/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/panniantong-agent-reach-vs-zumolabs-zpy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Agent-Reach or zpy?

Agent-Reach: Very active. zpy: 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 Agent-Reach and zpy?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [zpy trust report](/tools/zumolabs-zpy/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=panniantong-agent-reach`](/api/graphcanon/graph?tool=panniantong-agent-reach)
- 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/_
