--- title: "VideoRAG vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-videorag-vs-panniantong-agent-reach" tools: ["hkuds-videorag", "panniantong-agent-reach"] --- # VideoRAG vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick VideoRAG when license: VideoRAG is Other, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, VideoRAG is Other. [VideoRAG](https://arxiv.org/abs/2502.01549) reports 3.1k GitHub stars, 447 forks, and 19 open issues, last pushed Mar 18, 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 [VideoRAG's repository](https://github.com/HKUDS/VideoRAG) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [VideoRAG](/tools/hkuds-videorag.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | [KDD'2026] "VideoRAG: Chat with Your Videos" | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 3,143 | 54,715 | | Forks | 447 | 4,509 | | Open issues | 19 | 144 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks, Developer Tools, Speech & Audio | LLM Frameworks, AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [VideoRAG](/tools/hkuds-videorag.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 115d | 0d | | Open issues (now) | 19 | 144 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/hkuds-videorag/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose VideoRAG if… - License: VideoRAG is Other, Agent-Reach is MIT. - Tags unique to VideoRAG: multi-modal-llms, long-video-understanding, llms, python. - Also covers Speech & Audio. ### Choose Agent-Reach if… - License: Agent-Reach is MIT, VideoRAG is Other. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers AI Agents. ## When NOT to use VideoRAG - Last GitHub push was 116 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on VideoRAG. - 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 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 VideoRAG and Agent-Reach? VideoRAG: [KDD'2026] "VideoRAG: Chat with Your Videos". 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 VideoRAG over Agent-Reach? Choose VideoRAG over Agent-Reach when License: VideoRAG is Other, Agent-Reach is MIT; Tags unique to VideoRAG: multi-modal-llms, long-video-understanding, llms, python; Also covers Speech & Audio. ### When should I choose Agent-Reach over VideoRAG? Choose Agent-Reach over VideoRAG when License: Agent-Reach is MIT, VideoRAG is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents. ### When should I avoid VideoRAG? Last GitHub push was 116 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on VideoRAG. 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 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 VideoRAG or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 3,143). Stars measure visibility, not whether either tool fits your constraints. ### Are VideoRAG and Agent-Reach open source? Yes - both are open-source projects on GitHub (VideoRAG: Other, Agent-Reach: MIT). ### Where can I find alternatives to VideoRAG or Agent-Reach? GraphCanon lists graph-backed alternatives at [VideoRAG alternatives](/tools/hkuds-videorag/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([VideoRAG markdown twin](/tools/hkuds-videorag/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/hkuds-videorag-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, VideoRAG or Agent-Reach? VideoRAG: Slowing. 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 VideoRAG and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [VideoRAG trust report](/tools/hkuds-videorag/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-videorag`](/api/graphcanon/graph?tool=hkuds-videorag) - 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/_