--- title: "edit-mind vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/iliashad-edit-mind-vs-panniantong-agent-reach" tools: ["iliashad-edit-mind", "panniantong-agent-reach"] --- # edit-mind vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick edit-mind when edit-mind is primarily TypeScript; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; edit-mind is TypeScript. [edit-mind](https://edit-mind.com) reports 1.7k GitHub stars, 120 forks, and 12 open issues, last pushed Jun 30, 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 [edit-mind's repository](https://github.com/IliasHad/edit-mind) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [edit-mind](/tools/iliashad-edit-mind.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Local-first Video Knowledge Base. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready. | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 1,726 | 54,715 | | Forks | 120 | 4,509 | | Open issues | 12 | 144 | | Language | TypeScript | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, Speech & Audio, Computer Vision | LLM Frameworks, AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [edit-mind](/tools/iliashad-edit-mind.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 11d | 0d | | Open issues (now) | 12 | 144 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/iliashad-edit-mind/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose edit-mind if… - edit-mind is primarily TypeScript; Agent-Reach is Python. - License: edit-mind is Other, Agent-Reach is MIT. - Tags unique to edit-mind: ml, video-editing, self-hosted, video-indexing. - Also covers Speech & Audio, Computer Vision. - edit-mind ships Docker support for self-hosted deployment. ### Choose Agent-Reach if… - Agent-Reach is primarily Python; edit-mind is TypeScript. - License: Agent-Reach is MIT, edit-mind is Other. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers LLM Frameworks, AI Agents. ## When NOT to use edit-mind - 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 edit-mind and Agent-Reach? edit-mind: Local-first Video Knowledge Base. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready.. 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 edit-mind over Agent-Reach? Choose edit-mind over Agent-Reach when edit-mind is primarily TypeScript; Agent-Reach is Python; License: edit-mind is Other, Agent-Reach is MIT; Tags unique to edit-mind: ml, video-editing, self-hosted, video-indexing; Also covers Speech & Audio, Computer Vision; edit-mind ships Docker support for self-hosted deployment. ### When should I choose Agent-Reach over edit-mind? Choose Agent-Reach over edit-mind when Agent-Reach is primarily Python; edit-mind is TypeScript; License: Agent-Reach is MIT, edit-mind is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents. ### When should I avoid edit-mind? 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 edit-mind or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 1,726). Stars measure visibility, not whether either tool fits your constraints. ### Are edit-mind and Agent-Reach open source? Yes - both are open-source projects on GitHub (edit-mind: Other, Agent-Reach: MIT). ### Where can I find alternatives to edit-mind or Agent-Reach? GraphCanon lists graph-backed alternatives at [edit-mind alternatives](/tools/iliashad-edit-mind/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([edit-mind markdown twin](/tools/iliashad-edit-mind/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/iliashad-edit-mind-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, edit-mind or Agent-Reach? edit-mind: 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 edit-mind and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [edit-mind trust report](/tools/iliashad-edit-mind/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=iliashad-edit-mind`](/api/graphcanon/graph?tool=iliashad-edit-mind) - 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/_