Comparison
Agent-Reach vs zpy
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.
Markdown twin · Agent-Reach alternatives · zpy alternatives
GraphCanon updated today
Trust & integrity
| Signal | Agent-Reach | zpy |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1679d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | 2 low (2 low) As of today · osv@v1 |
Tagline
- 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.
Stars
- Agent-Reach
- 55k
- zpy
- 322
Forks
- Agent-Reach
- 4.5k
- zpy
- 34
Open issues
- Agent-Reach
- 144
- zpy
- 4
Language
- Agent-Reach
- Python
- zpy
- Python
Adopt for
- Agent-Reach
- -
- zpy
- -
Persona
- Agent-Reach
- -
- zpy
- -
Runtime
- Agent-Reach
- -
- zpy
- -
License
- Agent-Reach
- MIT
- zpy
- GPL-3.0
Last pushed
- Agent-Reach
- Jul 10, 2026
- zpy
- Dec 4, 2021
Categories
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
- zpy
- Computer Vision, Developer Tools
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- zpy
- Dormant (18%)
Days since push
- Agent-Reach
- 0d
- zpy
- 1679d
Open issues (now)
- Agent-Reach
- 144
- zpy
- 4
Owner type
- Agent-Reach
- User
- zpy
- Organization
Security scan
- Agent-Reach
- No MCP manifest
- zpy
- 2 low (2 low)
Full report
- Agent-Reach
- Trust report
- zpy
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ZumoLabs/zpy) · observed Jul 11, 2026
- GitHub forks (ZumoLabs/zpy) · observed Jul 11, 2026
- Last push (ZumoLabs/zpy) · observed Dec 4, 2021
- License file (GPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · zpy 322 (synced Jul 11, 2026).
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 and zpy alternatives (Agent-Reach markdown twin, zpy markdown twin), 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 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; zpy trust report.