Home/Compare/Agent-Reach vs auto-maple

Comparison

Agent-Reach vs auto-maple

Verdict

Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; pick auto-maple when tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory.

Markdown twin · Agent-Reach alternatives · auto-maple alternatives

GraphCanon updated today

Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026
vs
auto-maple logo

auto-maple

tanjeffreyz/auto-maple

671pushed Dec 26, 2025

Trust & integrity

SignalAgent-Reachauto-maple
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Slowing (197d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of 1d · mcp_manifest
No criticals
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.
auto-maple
Artificial intelligence for MapleStory that uses machine learning and computer vision to navigate challenging in-game environments

Stars

Agent-Reach
55k
auto-maple
671

Forks

Agent-Reach
4.5k
auto-maple
321

Open issues

Agent-Reach
144
auto-maple
60

Language

Agent-Reach
Python
auto-maple
Python

Adopt for

Agent-Reach
-
auto-maple
-

Persona

Agent-Reach
-
auto-maple
-

Runtime

Agent-Reach
-
auto-maple
-

License

Agent-Reach
MIT
auto-maple
-

Last pushed

Agent-Reach
Jul 10, 2026
auto-maple
Dec 26, 2025

Categories

Agent-Reach
AI Agents, Developer Tools, LLM Frameworks
auto-maple
Computer Vision, Developer Tools, Model Training

Trust and health

Maintenance

Agent-Reach
Very active (96%)
auto-maple
Slowing (36%)

Days since push

Agent-Reach
0d
auto-maple
197d

Open issues (now)

Agent-Reach
144
auto-maple
60

Security scan

Agent-Reach
No MCP manifest
auto-maple
No criticals

Full report

Agent-Reach
Trust report
auto-maple
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 671) - 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 auto-maple if…

  • Tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory.
  • Also covers Computer Vision, Model Training.
  • Leaner open-issue backlog (60).

When NOT to use auto-maple

  • Last GitHub push was 198 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on auto-maple.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Agent-Reach 55k · auto-maple 671 (synced Jul 11, 2026).

Common questions

What is the difference between Agent-Reach and auto-maple?
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.. auto-maple: Artificial intelligence for MapleStory that uses machine learning and computer vision to navigate challenging in-game environments. See the comparison table for live GitHub stats and shared categories.
When should I choose Agent-Reach over auto-maple?
Choose Agent-Reach over auto-maple when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, LLM Frameworks; More GitHub stars (55k vs 671) - visibility, not fit.
When should I choose auto-maple over Agent-Reach?
Choose auto-maple over Agent-Reach when Tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory; Also covers Computer Vision, Model Training; Leaner open-issue backlog (60).
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 auto-maple?
Last GitHub push was 198 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on auto-maple. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is Agent-Reach or auto-maple more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 671). Stars measure visibility, not whether either tool fits your constraints.
Are Agent-Reach and auto-maple open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Agent-Reach or auto-maple?
GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and auto-maple alternatives (Agent-Reach markdown twin, auto-maple 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 auto-maple?
Agent-Reach: Very active. auto-maple: 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 Agent-Reach and auto-maple?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; auto-maple trust report.