--- title: "Agent-Reach vs auto-maple" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-tanjeffreyz-auto-maple" tools: ["panniantong-agent-reach", "tanjeffreyz-auto-maple"] --- # Agent-Reach vs auto-maple *GraphCanon updated Jul 11, 2026* ## 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. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [auto-maple](https://github.com/tanjeffreyz/auto-maple) has 671 stars, 321 forks, and 60 open issues, last pushed Dec 26, 2025. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [auto-maple's repository](https://github.com/tanjeffreyz/auto-maple). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [auto-maple](/tools/tanjeffreyz-auto-maple.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. | Artificial intelligence for MapleStory that uses machine learning and computer vision to navigate challenging in-game environments | | Stars | 54,715 | 671 | | Forks | 4,509 | 321 | | Open issues | 144 | 60 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Developer Tools, LLM Frameworks | Computer Vision, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [auto-maple](/tools/tanjeffreyz-auto-maple.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 197d | | Open issues (now) | 144 | 60 | | Security scan | No MCP manifest | No criticals | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/tanjeffreyz-auto-maple/trust.md) | ## Choose when ### 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. ### 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 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 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. ## 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](/tools/panniantong-agent-reach/alternatives) and [auto-maple alternatives](/tools/tanjeffreyz-auto-maple/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [auto-maple markdown twin](/tools/tanjeffreyz-auto-maple/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-tanjeffreyz-auto-maple.md) 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](/tools/panniantong-agent-reach/trust); [auto-maple trust report](/tools/tanjeffreyz-auto-maple/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/_