Comparison
Agent-Reach vs Skill_Seekers
Verdict
Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili; pick Skill_Seekers when tags unique to Skill_Seekers: ai-tools, ast-parser, claude-ai, claude-skills.
Markdown twin · Agent-Reach alternatives · Skill_Seekers alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | Skill_Seekers |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (8d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No MCP manifest As of today · mcp_manifest |
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.
- Skill_Seekers
- Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
Stars
- Agent-Reach
- 55k
- Skill_Seekers
- 14k
Forks
- Agent-Reach
- 4.5k
- Skill_Seekers
- 1.5k
Open issues
- Agent-Reach
- 144
- Skill_Seekers
- 103
Language
- Agent-Reach
- Python
- Skill_Seekers
- Python
Adopt for
- Agent-Reach
- -
- Skill_Seekers
- -
Persona
- Agent-Reach
- -
- Skill_Seekers
- -
Runtime
- Agent-Reach
- -
- Skill_Seekers
- -
License
- Agent-Reach
- MIT
- Skill_Seekers
- MIT
Last pushed
- Agent-Reach
- Jul 10, 2026
- Skill_Seekers
- Jul 2, 2026
Categories
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
- Skill_Seekers
- Computer Vision, Data & Retrieval, Developer Tools
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- Skill_Seekers
- Active (82%)
Days since push
- Agent-Reach
- 0d
- Skill_Seekers
- 8d
Open issues (now)
- Agent-Reach
- 144
- Skill_Seekers
- 103
Full report
- Agent-Reach
- Trust report
- Skill_Seekers
- Trust report
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili.
- Also covers AI Agents, LLM Frameworks.
- More GitHub stars (55k vs 14k) - 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 Skill_Seekers if…
- Tags unique to Skill_Seekers: ai-tools, ast-parser, claude-ai, claude-skills.
- Also covers Computer Vision, Data & Retrieval.
- Leaner open-issue backlog (103).
When NOT to use Skill_Seekers
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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 (yusufkaraaslan/Skill_Seekers) · observed Jul 11, 2026
- GitHub forks (yusufkaraaslan/Skill_Seekers) · observed Jul 11, 2026
- Last push (yusufkaraaslan/Skill_Seekers) · observed Jul 2, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · Skill_Seekers 14k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and Skill_Seekers?
- 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.. Skill_Seekers: Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over Skill_Seekers?
- Choose Agent-Reach over Skill_Seekers when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili; Also covers AI Agents, LLM Frameworks; More GitHub stars (55k vs 14k) - visibility, not fit.
- When should I choose Skill_Seekers over Agent-Reach?
- Choose Skill_Seekers over Agent-Reach when Tags unique to Skill_Seekers: ai-tools, ast-parser, claude-ai, claude-skills; Also covers Computer Vision, Data & Retrieval; Leaner open-issue backlog (103).
- 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 Skill_Seekers?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is Agent-Reach or Skill_Seekers more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 14,428). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and Skill_Seekers open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, Skill_Seekers: MIT).
- Where can I find alternatives to Agent-Reach or Skill_Seekers?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and Skill_Seekers alternatives (Agent-Reach markdown twin, Skill_Seekers 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 Skill_Seekers?
- Agent-Reach: Very active. Skill_Seekers: Active. 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 Skill_Seekers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; Skill_Seekers trust report.