--- title: "prompts.chat vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-tirth8205-code-review-graph" tools: ["f-prompts-chat", "tirth8205-code-review-graph"] --- # prompts.chat vs code-review-graph *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; code-review-graph is Python; pick code-review-graph when code-review-graph 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. [code-review-graph](https://code-review-graph.com) has 19k stars, 2.1k forks, and 185 open issues, last pushed Jun 14, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [prompts.chat](/tools/f-prompts-chat.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w | | Stars | 165,372 | 19,416 | | Forks | 21,400 | 2,078 | | Open issues | 60 | 185 | | Language | HTML | Python | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks, Developer Tools | LLM Frameworks, Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 26d | | Open issues (now) | 60 | 185 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/tirth8205-code-review-graph/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; code-review-graph is Python. - License: prompts.chat is Other, code-review-graph is MIT. - Tags unique to prompts.chat: ai, artificial-intelligence, gemini, machine-learning. - Critical decision points for evaluating `prompts.chat` ### Choose code-review-graph if… - code-review-graph is primarily Python; prompts.chat is HTML. - License: code-review-graph is MIT, prompts.chat is Other. - Tags unique to code-review-graph: graphrag, ai-coding, incremental, knowledge-graph. - Also covers Evaluation & Observability. ## When NOT to use prompts.chat - 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 code-review-graph - 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. - 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 prompts.chat and code-review-graph? prompts.chat: Share, discover, and collect prompts from the community. code-review-graph: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over code-review-graph? Choose prompts.chat over code-review-graph when prompts.chat is primarily HTML; code-review-graph is Python; License: prompts.chat is Other, code-review-graph is MIT; Tags unique to prompts.chat: ai, artificial-intelligence, gemini, machine-learning; Critical decision points for evaluating `prompts.chat`. ### When should I choose code-review-graph over prompts.chat? Choose code-review-graph over prompts.chat when code-review-graph is primarily Python; prompts.chat is HTML; License: code-review-graph is MIT, prompts.chat is Other; Tags unique to code-review-graph: graphrag, ai-coding, incremental, knowledge-graph; Also covers Evaluation & Observability. ### When should I avoid prompts.chat? 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 code-review-graph? 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. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is prompts.chat or code-review-graph more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 19,416). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and code-review-graph open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, code-review-graph: MIT). ### Where can I find alternatives to prompts.chat or code-review-graph? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [code-review-graph markdown twin](/tools/tirth8205-code-review-graph/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-tirth8205-code-review-graph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or code-review-graph? prompts.chat: Very active. code-review-graph: 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 prompts.chat and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/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/_