--- title: "Agent-Reach vs raga-llm-hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-raga-ai-hub-raga-llm-hub" tools: ["panniantong-agent-reach", "raga-ai-hub-raga-llm-hub"] --- # Agent-Reach vs raga-llm-hub *GraphCanon updated Jul 11, 2026* ## Verdict Pick Agent-Reach when license: Agent-Reach is MIT, raga-llm-hub is Other; pick raga-llm-hub when license: raga-llm-hub is Other, Agent-Reach is MIT. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [raga-llm-hub](https://www.raga.ai/llms) has 114 stars, 14 forks, and 2 open issues, last pushed Sep 9, 2024. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [raga-llm-hub's repository](https://github.com/raga-ai-hub/raga-llm-hub). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.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. | Framework for LLM evaluation, guardrails and security | | Stars | 54,715 | 114 | | Forks | 4,509 | 14 | | Open issues | 144 | 2 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, LLM Frameworks, Developer Tools | LLM Frameworks, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 670d | | Open issues (now) | 144 | 2 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/raga-ai-hub-raga-llm-hub/trust.md) | ## Choose when ### Choose Agent-Reach if… - License: Agent-Reach is MIT, raga-llm-hub is Other. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers AI Agents, Developer Tools. ### Choose raga-llm-hub if… - License: raga-llm-hub is Other, Agent-Reach is MIT. - Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security. - Also covers Evaluation & Observability. ## 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use raga-llm-hub - Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between Agent-Reach and raga-llm-hub? 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.. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agent-Reach over raga-llm-hub? Choose Agent-Reach over raga-llm-hub when License: Agent-Reach is MIT, raga-llm-hub is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools. ### When should I choose raga-llm-hub over Agent-Reach? Choose raga-llm-hub over Agent-Reach when License: raga-llm-hub is Other, Agent-Reach is MIT; Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security; Also covers Evaluation & Observability. ### 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid raga-llm-hub? Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is Agent-Reach or raga-llm-hub more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 114). Stars measure visibility, not whether either tool fits your constraints. ### Are Agent-Reach and raga-llm-hub open source? Yes - both are open-source projects on GitHub (Agent-Reach: MIT, raga-llm-hub: Other). ### Where can I find alternatives to Agent-Reach or raga-llm-hub? GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [raga-llm-hub alternatives](/tools/raga-ai-hub-raga-llm-hub/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [raga-llm-hub markdown twin](/tools/raga-ai-hub-raga-llm-hub/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-raga-ai-hub-raga-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agent-Reach or raga-llm-hub? Agent-Reach: Very active. raga-llm-hub: Dormant. 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 raga-llm-hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [raga-llm-hub trust report](/tools/raga-ai-hub-raga-llm-hub/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/_