Comparison
Agent-Reach vs viewer
Verdict
Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; pick viewer when tags unique to viewer: python.
Markdown twin · Agent-Reach alternatives · viewer alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | viewer |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1433d 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 | No lockfile As of today · none |
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.
- viewer
- ML models and internal tensors 3D visualizer
Stars
- Agent-Reach
- 55k
- viewer
- 1.8k
Forks
- Agent-Reach
- 4.5k
- viewer
- 168
Open issues
- Agent-Reach
- 144
- viewer
- 17
Language
- Agent-Reach
- Python
- viewer
- Python
Adopt for
- Agent-Reach
- -
- viewer
- -
Persona
- Agent-Reach
- -
- viewer
- -
Runtime
- Agent-Reach
- -
- viewer
- -
License
- Agent-Reach
- MIT
- viewer
- -
Last pushed
- Agent-Reach
- Jul 10, 2026
- viewer
- Aug 8, 2022
Categories
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
- viewer
- Developer Tools
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- viewer
- Dormant (18%)
Days since push
- Agent-Reach
- 0d
- viewer
- 1433d
Open issues (now)
- Agent-Reach
- 144
- viewer
- 17
Owner type
- Agent-Reach
- User
- viewer
- Organization
Security scan
- Agent-Reach
- No MCP manifest
- viewer
- No lockfile
Full report
- Agent-Reach
- Trust report
- viewer
- Trust report
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, LLM Frameworks.
- More GitHub stars (55k vs 1.8k) - visibility, not fit.
When NOT to use Agent-Reach
- 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.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose viewer if…
- Tags unique to viewer: python.
- Leaner open-issue backlog (17).
When NOT to use viewer
- Last GitHub push was 1434 days ago (dormant maintenance, Aug 8, 2022). Validate activity before betting a new project on viewer.
- 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 (zetane/viewer) · observed Jul 11, 2026
- GitHub forks (zetane/viewer) · observed Jul 11, 2026
- Last push (zetane/viewer) · observed Aug 8, 2022
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · viewer 1.8k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and viewer?
- 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.. viewer: ML models and internal tensors 3D visualizer. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over viewer?
- Choose Agent-Reach over viewer when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, LLM Frameworks; More GitHub stars (55k vs 1.8k) - visibility, not fit.
- When should I choose viewer over Agent-Reach?
- Choose viewer over Agent-Reach when Tags unique to viewer: python; Leaner open-issue backlog (17).
- When should I avoid Agent-Reach?
- 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid viewer?
- Last GitHub push was 1434 days ago (dormant maintenance, Aug 8, 2022). Validate activity before betting a new project on viewer. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is Agent-Reach or viewer more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 1,832). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and viewer open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Agent-Reach or viewer?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and viewer alternatives (Agent-Reach markdown twin, viewer 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 viewer?
- Agent-Reach: Very active. viewer: 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 viewer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; viewer trust report.