--- title: "graphify vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/graphify-labs-graphify-vs-wshobson-agents" tools: ["graphify-labs-graphify", "wshobson-agents"] --- # graphify vs agents *GraphCanon updated Sep 20, 2026* ## Verdict Pick graphify if graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex. [graphify](https://www.graphify.com) reports 119k GitHub stars, 12k forks, and 1.4k open issues, last pushed Sep 16, 2026. [agents](https://sethhobson.com) has 40k stars, 4.2k forks, and 12 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [graphify's repository](https://github.com/Graphify-Labs/graphify) and [agents's repository](https://github.com/wshobson/agents). | | [graphify](/tools/graphify-labs-graphify.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Transforms codebases into a queryable knowledge graph | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 119,168 | 39,823 | | Forks | 11,524 | 4,246 | | Open issues | 1,394 | 12 | | Language | Python | Python | | Adopt for | Graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphify](/tools/graphify-labs-graphify.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Open issues (now) | 1.4k | 12 | | Stars delta | +12k (30d) | +895 (30d) | | Open issues delta | +416 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/graphify-labs-graphify/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: graphify - **Pricing:** freemium - Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee. - **Requirements:** Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages. - **Adopt for:** Graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively. ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose graphify if… - License: graphify is Apache-2.0, agents is MIT. - Pricing: Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee.. - Requirements: Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages.. - Tags unique to graphify: ai-agents, ast, code-analysis, code-search. - graphify ships Docker support for self-hosted deployment. - When you need to convert your codebase, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph locally. ### Choose agents if… - License: agents is MIT, graphify is Apache-2.0. - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments ## When NOT to use graphify - If you prefer tools that rely on vector stores for their operations, as Graphify does not use vector stores. - When you need a tool that integrates with cloud services for parsing and querying, as Graphify operates locally. - If you are looking for a tool that does not provide detailed explanations for every edge in the graph. ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between graphify and agents? graphify: Transforms codebases into a queryable knowledge graph. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose graphify over agents? Choose graphify over agents when License: graphify is Apache-2.0, agents is MIT; Pricing: Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee.; Requirements: Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages.; Tags unique to graphify: ai-agents, ast, code-analysis, code-search; graphify ships Docker support for self-hosted deployment; When you need to convert your codebase, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph locally. ### When should I choose agents over graphify? Choose agents over graphify when License: agents is MIT, graphify is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments. ### When should I avoid graphify? If you prefer tools that rely on vector stores for their operations, as Graphify does not use vector stores. When you need a tool that integrates with cloud services for parsing and querying, as Graphify operates locally. If you are looking for a tool that does not provide detailed explanations for every edge in the graph. ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is graphify or agents more popular on GitHub? graphify has more GitHub stars (119,168 vs 39,823). Stars measure visibility, not whether either tool fits your constraints. ### Are graphify and agents open source? Yes - both are open-source projects on GitHub (graphify: Apache-2.0, agents: MIT). ### Where can I find alternatives to graphify or agents? GraphCanon lists graph-backed alternatives at [graphify alternatives](/tools/graphify-labs-graphify/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([graphify markdown twin](/tools/graphify-labs-graphify/alternatives.md), [agents markdown twin](/tools/wshobson-agents/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/graphify-labs-graphify-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphify or agents? graphify: Very active. agents: 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 graphify and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphify trust report](/tools/graphify-labs-graphify/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=graphify-labs-graphify`](/api/graphcanon/graph?tool=graphify-labs-graphify) - 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/_