--- title: "examor vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/codeacme17-examor-vs-panniantong-agent-reach" tools: ["codeacme17-examor", "panniantong-agent-reach"] --- # examor vs Agent-Reach *GraphCanon updated Jul 12, 2026* ## Verdict Pick examor when examor is primarily TypeScript; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; examor is TypeScript. [examor](https://github.com/codeacme17/examor) reports 1.1k GitHub stars, 64 forks, and 2 open issues, last pushed Jun 18, 2025. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [examor's repository](https://github.com/codeacme17/examor) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [examor](/tools/codeacme17-examor.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning 🎓 | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 1,068 | 54,715 | | Forks | 64 | 4,509 | | Open issues | 2 | 144 | | Language | TypeScript | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | LLM Frameworks | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [examor](/tools/codeacme17-examor.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 388d | 0d | | Open issues (now) | 2 | 144 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/codeacme17-examor/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose examor if… - examor is primarily TypeScript; Agent-Reach is Python. - License: examor is AGPL-3.0, Agent-Reach is MIT. - Tags unique to examor: azure, claude2, ebbinghaus-memory, gpt-4. ### Choose Agent-Reach if… - Agent-Reach is primarily Python; examor is TypeScript. - License: Agent-Reach is MIT, examor is AGPL-3.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers AI Agents, Developer Tools. ## When NOT to use examor - Last GitHub push was 389 days ago (dormant maintenance, Jun 18, 2025). Validate activity before betting a new project on examor. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between examor and Agent-Reach? examor: For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning 🎓. 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.. See the comparison table for live GitHub stats and shared categories. ### When should I choose examor over Agent-Reach? Choose examor over Agent-Reach when examor is primarily TypeScript; Agent-Reach is Python; License: examor is AGPL-3.0, Agent-Reach is MIT; Tags unique to examor: azure, claude2, ebbinghaus-memory, gpt-4. ### When should I choose Agent-Reach over examor? Choose Agent-Reach over examor when Agent-Reach is primarily Python; examor is TypeScript; License: Agent-Reach is MIT, examor is AGPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools. ### When should I avoid examor? Last GitHub push was 389 days ago (dormant maintenance, Jun 18, 2025). Validate activity before betting a new project on examor. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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. ### Is examor or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 1,068). Stars measure visibility, not whether either tool fits your constraints. ### Are examor and Agent-Reach open source? Yes - both are open-source projects on GitHub (examor: AGPL-3.0, Agent-Reach: MIT). ### Where can I find alternatives to examor or Agent-Reach? GraphCanon lists graph-backed alternatives at [examor alternatives](/tools/codeacme17-examor/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([examor markdown twin](/tools/codeacme17-examor/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/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/codeacme17-examor-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, examor or Agent-Reach? examor: Dormant. Agent-Reach: Very 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 examor and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [examor trust report](/tools/codeacme17-examor/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=codeacme17-examor`](/api/graphcanon/graph?tool=codeacme17-examor) - 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/_