--- title: "agentsys vs graphify" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-sh-agentsys-vs-graphify-labs-graphify" tools: ["agent-sh-agentsys", "graphify-labs-graphify"] --- # agentsys vs graphify *GraphCanon updated Sep 30, 2026* ## Verdict Pick agentsys if agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro; 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. [agentsys](https://agent-sh.github.io/agentsys/) reports 985 GitHub stars, 115 forks, and 0 open issues, last pushed Sep 13, 2026. [graphify](https://www.graphify.com) has 119k stars, 12k forks, and 1.4k open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [agentsys's repository](https://github.com/agent-sh/agentsys) and [graphify's repository](https://github.com/Graphify-Labs/graphify). | | [agentsys](/tools/agent-sh-agentsys.md) | [graphify](/tools/graphify-labs-graphify.md) | | --- | --- | --- | | Tagline | AI writes code, automates tasks with plugins and agents | Transforms codebases into a queryable knowledge graph | | Stars | 985 | 119,168 | | Forks | 115 | 11,524 | | Open issues | 0 | 1,394 | | Language | JavaScript | Python | | Adopt for | agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro. | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentsys](/tools/agent-sh-agentsys.md) | [graphify](/tools/graphify-labs-graphify.md) | | --- | --- | --- | | Days since push | 6d | 1d | | Open issues (now) | 0 | 1.4k | | Stars delta | +23 (30d) | +12k (30d) | | Open issues delta | 0 (30d) | +416 (30d) | | Full report | [trust report](/tools/agent-sh-agentsys/trust.md) | [trust report](/tools/graphify-labs-graphify/trust.md) | ## Decision facts: agentsys - **Requirements:** Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm. - **Adopt for:** agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro. ## 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. ## Choose when ### Choose agentsys if… - agentsys is primarily JavaScript; graphify is Python. - License: agentsys is MIT, graphify is Apache-2.0. - Requirements: Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm.. - Tags unique to agentsys: agent, ai, automation, code-review. - When you need to automate code writing and tasks with a wide range of AI tools, including Claude Code, OpenCode, Codex, Cursor, and Kiro. ### Choose graphify if… - graphify is primarily Python; agentsys is JavaScript. - License: graphify is Apache-2.0, agentsys 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 NOT to use agentsys - If your project strictly requires a specific AI tool that is not supported by agentsys, such as a proprietary or niche AI tool. - When you need a system that does not rely on JavaScript or Node.js 18+, as agentsys requires these technologies. - If you are working in an environment where the installation of additional tools like the GitHub CLI, GitLab CLI, or agnix CLI is not feasible or allowed. ## 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. ## Common questions ### What is the difference between agentsys and graphify? agentsys: AI writes code, automates tasks with plugins and agents. graphify: Transforms codebases into a queryable knowledge graph. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentsys over graphify? Choose agentsys over graphify when agentsys is primarily JavaScript; graphify is Python; License: agentsys is MIT, graphify is Apache-2.0; Requirements: Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm.; Tags unique to agentsys: agent, ai, automation, code-review; When you need to automate code writing and tasks with a wide range of AI tools, including Claude Code, OpenCode, Codex, Cursor, and Kiro. ### When should I choose graphify over agentsys? Choose graphify over agentsys when graphify is primarily Python; agentsys is JavaScript; License: graphify is Apache-2.0, agentsys 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 avoid agentsys? If your project strictly requires a specific AI tool that is not supported by agentsys, such as a proprietary or niche AI tool. When you need a system that does not rely on JavaScript or Node.js 18+, as agentsys requires these technologies. If you are working in an environment where the installation of additional tools like the GitHub CLI, GitLab CLI, or agnix CLI is not feasible or allowed. ### 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. ### Is agentsys or graphify more popular on GitHub? graphify has more GitHub stars (119,168 vs 985). Stars measure visibility, not whether either tool fits your constraints. ### Are agentsys and graphify open source? Yes - both are open-source projects on GitHub (agentsys: MIT, graphify: Apache-2.0). ### Where can I find alternatives to agentsys or graphify? GraphCanon lists graph-backed alternatives at [agentsys alternatives](/tools/agent-sh-agentsys/alternatives) and [graphify alternatives](/tools/graphify-labs-graphify/alternatives) ([agentsys markdown twin](/tools/agent-sh-agentsys/alternatives.md), [graphify markdown twin](/tools/graphify-labs-graphify/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/agent-sh-agentsys-vs-graphify-labs-graphify.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentsys or graphify? agentsys: Very active. graphify: 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 agentsys and graphify? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentsys trust report](/tools/agent-sh-agentsys/trust); [graphify trust report](/tools/graphify-labs-graphify/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-sh-agentsys`](/api/graphcanon/graph?tool=agent-sh-agentsys) - 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/_