--- title: "google-research vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/google-research-google-research-vs-panniantong-agent-reach" tools: ["google-research-google-research", "panniantong-agent-reach"] --- # google-research vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick google-research when google-research is primarily Jupyter Notebook; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; google-research is Jupyter Notebook. [google-research](https://research.google) reports 38k GitHub stars, 8.5k forks, and 2.0k open issues, last pushed Jul 11, 2026. [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 [google-research's repository](https://github.com/google-research/google-research) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [google-research](/tools/google-research-google-research.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Google Research | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 38,353 | 54,715 | | Forks | 8,458 | 4,509 | | Open issues | 1,981 | 144 | | Language | Jupyter Notebook | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools | LLM Frameworks, AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [google-research](/tools/google-research-google-research.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Open issues (now) | 2.0k | 144 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/google-research-google-research/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose google-research if… - google-research is primarily Jupyter Notebook; Agent-Reach is Python. - License: google-research is Apache-2.0, Agent-Reach is MIT. - Tags unique to google-research: research, ai, machine-learning, jupyter notebook. ### Choose Agent-Reach if… - Agent-Reach is primarily Python; google-research is Jupyter Notebook. - License: Agent-Reach is MIT, google-research is Apache-2.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers LLM Frameworks, AI Agents. ## When NOT to use google-research - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use Agent-Reach - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - 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. ## Common questions ### What is the difference between google-research and Agent-Reach? google-research: Google Research. 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 google-research over Agent-Reach? Choose google-research over Agent-Reach when google-research is primarily Jupyter Notebook; Agent-Reach is Python; License: google-research is Apache-2.0, Agent-Reach is MIT; Tags unique to google-research: research, ai, machine-learning, jupyter notebook. ### When should I choose Agent-Reach over google-research? Choose Agent-Reach over google-research when Agent-Reach is primarily Python; google-research is Jupyter Notebook; License: Agent-Reach is MIT, google-research is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents. ### When should I avoid google-research? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid Agent-Reach? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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. ### Is google-research or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 38,353). Stars measure visibility, not whether either tool fits your constraints. ### Are google-research and Agent-Reach open source? Yes - both are open-source projects on GitHub (google-research: Apache-2.0, Agent-Reach: MIT). ### Where can I find alternatives to google-research or Agent-Reach? GraphCanon lists graph-backed alternatives at [google-research alternatives](/tools/google-research-google-research/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([google-research markdown twin](/tools/google-research-google-research/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/google-research-google-research-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, google-research or Agent-Reach? google-research: Very active. 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 google-research and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [google-research trust report](/tools/google-research-google-research/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=google-research-google-research`](/api/graphcanon/graph?tool=google-research-google-research) - 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/_