--- title: "Dot vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alexpinel-dot-vs-panniantong-agent-reach" tools: ["alexpinel-dot", "panniantong-agent-reach"] --- # Dot vs Agent-Reach *GraphCanon updated Jul 12, 2026* ## Verdict Pick Dot when dot is primarily JavaScript; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; Dot is JavaScript. [Dot](https://dotapp.uk/) reports 1.9k GitHub stars, 111 forks, and 14 open issues, last pushed Dec 9, 2024. [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 [Dot's repository](https://github.com/alexpinel/Dot) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [Dot](/tools/alexpinel-dot.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Text-To-Speech, RAG, and LLMs. All local! | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 1,909 | 54,715 | | Forks | 111 | 4,509 | | Open issues | 14 | 144 | | Language | JavaScript | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | LLM Frameworks, Data & Retrieval, Speech & Audio | LLM Frameworks, AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Dot](/tools/alexpinel-dot.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 578d | 0d | | Open issues (now) | 14 | 144 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/alexpinel-dot/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose Dot if… - Dot is primarily JavaScript; Agent-Reach is Python. - License: Dot is GPL-3.0, Agent-Reach is MIT. - Tags unique to Dot: document-chat, embeddings, local, llamacpp. - Also covers Data & Retrieval, Speech & Audio. ### Choose Agent-Reach if… - Agent-Reach is primarily Python; Dot is JavaScript. - License: Agent-Reach is MIT, Dot is GPL-3.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers AI Agents, Developer Tools. ## When NOT to use Dot - Last GitHub push was 579 days ago (dormant maintenance, Dec 9, 2024). Validate activity before betting a new project on Dot. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## 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 Dot and Agent-Reach? Dot: Text-To-Speech, RAG, and LLMs. All local!. 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 Dot over Agent-Reach? Choose Dot over Agent-Reach when Dot is primarily JavaScript; Agent-Reach is Python; License: Dot is GPL-3.0, Agent-Reach is MIT; Tags unique to Dot: document-chat, embeddings, local, llamacpp; Also covers Data & Retrieval, Speech & Audio. ### When should I choose Agent-Reach over Dot? Choose Agent-Reach over Dot when Agent-Reach is primarily Python; Dot is JavaScript; License: Agent-Reach is MIT, Dot is GPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools. ### When should I avoid Dot? Last GitHub push was 579 days ago (dormant maintenance, Dec 9, 2024). Validate activity before betting a new project on Dot. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### 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 Dot or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 1,909). Stars measure visibility, not whether either tool fits your constraints. ### Are Dot and Agent-Reach open source? Yes - both are open-source projects on GitHub (Dot: GPL-3.0, Agent-Reach: MIT). ### Where can I find alternatives to Dot or Agent-Reach? GraphCanon lists graph-backed alternatives at [Dot alternatives](/tools/alexpinel-dot/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([Dot markdown twin](/tools/alexpinel-dot/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/alexpinel-dot-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, Dot or Agent-Reach? Dot: 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 Dot and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Dot trust report](/tools/alexpinel-dot/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alexpinel-dot`](/api/graphcanon/graph?tool=alexpinel-dot) - 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/_