--- title: "prompts.chat vs arkon" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-nduckmink-arkon" tools: ["f-prompts-chat", "nduckmink-arkon"] --- # prompts.chat vs arkon *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; arkon is Python; pick arkon when arkon is primarily Python; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [arkon](https://github.com/nduckmink/arkon) has 1.1k stars, 241 forks, and 18 open issues, last pushed Jun 3, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [arkon's repository](https://github.com/nduckmink/arkon). | | [prompts.chat](/tools/f-prompts-chat.md) | [arkon](/tools/nduckmink-arkon.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol ( | | Stars | 165,372 | 1,050 | | Forks | 21,400 | 241 | | Open issues | 60 | 18 | | Language | HTML | Python | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [arkon](/tools/nduckmink-arkon.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 37d | | Open issues (now) | 60 | 18 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/nduckmink-arkon/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; arkon is Python. - Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt. - Critical decision points for evaluating `prompts.chat` ### Choose arkon if… - arkon is primarily Python; prompts.chat is HTML. - Tags unique to arkon: enterprise-ai, knowledge-base-embeddings, knowledge-based-systems, knowledge-bases. - Also covers Vector Databases. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use arkon - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between prompts.chat and arkon? prompts.chat: Share, discover, and collect prompts from the community. arkon: Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over arkon? Choose prompts.chat over arkon when prompts.chat is primarily HTML; arkon is Python; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; Critical decision points for evaluating `prompts.chat`. ### When should I choose arkon over prompts.chat? Choose arkon over prompts.chat when arkon is primarily Python; prompts.chat is HTML; Tags unique to arkon: enterprise-ai, knowledge-base-embeddings, knowledge-based-systems, knowledge-bases; Also covers Vector Databases. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid arkon? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is prompts.chat or arkon more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 1,050). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and arkon open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, arkon: Other). ### Where can I find alternatives to prompts.chat or arkon? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [arkon alternatives](/tools/nduckmink-arkon/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [arkon markdown twin](/tools/nduckmink-arkon/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/f-prompts-chat-vs-nduckmink-arkon.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or arkon? prompts.chat: Very active. arkon: Steady. 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 prompts.chat and arkon? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [arkon trust report](/tools/nduckmink-arkon/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_