--- title: "agentsys vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-sh-agentsys-vs-tirth8205-code-review-graph" tools: ["agent-sh-agentsys", "tirth8205-code-review-graph"] --- # agentsys vs code-review-graph *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 code-review-graph if code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and. [agentsys](https://agent-sh.github.io/agentsys/) reports 985 GitHub stars, 115 forks, and 0 open issues, last pushed Sep 13, 2026. [code-review-graph](https://code-review-graph.com) has 32k stars, 2.9k forks, and 135 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [agentsys's repository](https://github.com/agent-sh/agentsys) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [agentsys](/tools/agent-sh-agentsys.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | AI writes code, automates tasks with plugins and agents | Local-first code intelligence graph for AI coding tools | | Stars | 985 | 31,569 | | Forks | 115 | 2,871 | | Open issues | 0 | 135 | | 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. | code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License | | Categories | AI Agents, Developer Tools | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentsys](/tools/agent-sh-agentsys.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Days since push | 6d | 1d | | Open issues (now) | 0 | 135 | | Stars delta | +23 (30d) | +5.1k (30d) | | Open issues delta | 0 (30d) | +13 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agent-sh-agentsys/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Shared compatibility - **Cursor**: [agentsys](/tools/agent-sh-agentsys.md) - Works with Cursor; [code-review-graph](/tools/tirth8205-code-review-graph.md) - Works with Cursor ## 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: code-review-graph - **Requirements:** Requires Python 3.10+. - **Adopt for:** code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows. - **License detail:** MIT License ## Choose when ### Choose agentsys if… - agentsys is primarily JavaScript; code-review-graph is Python. - 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, devtools. - Also covers AI Agents. - 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 code-review-graph if… - code-review-graph is primarily Python; agentsys is JavaScript. - Requirements: Requires Python 3.10+.. - Tags unique to code-review-graph: ai-coding, claude, graph, incremental. - Also covers Model Training. - When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance. ## 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 code-review-graph - If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity. - When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits. - If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively. ## Common questions ### What is the difference between agentsys and code-review-graph? agentsys: AI writes code, automates tasks with plugins and agents. code-review-graph: Local-first code intelligence graph for AI coding tools. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentsys over code-review-graph? Choose agentsys over code-review-graph when agentsys is primarily JavaScript; code-review-graph is Python; 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, devtools; Also covers AI Agents; 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 code-review-graph over agentsys? Choose code-review-graph over agentsys when code-review-graph is primarily Python; agentsys is JavaScript; Requirements: Requires Python 3.10+.; Tags unique to code-review-graph: ai-coding, claude, graph, incremental; Also covers Model Training; When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance. ### 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 code-review-graph? If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity. When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits. If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively. ### Is agentsys or code-review-graph more popular on GitHub? code-review-graph has more GitHub stars (31,569 vs 985). Stars measure visibility, not whether either tool fits your constraints. ### Are agentsys and code-review-graph open source? Yes - both are open-source projects on GitHub (agentsys: MIT, code-review-graph: MIT). ### Where can I find alternatives to agentsys or code-review-graph? GraphCanon lists graph-backed alternatives at [agentsys alternatives](/tools/agent-sh-agentsys/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([agentsys markdown twin](/tools/agent-sh-agentsys/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/agent-sh-agentsys-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, agentsys or code-review-graph? agentsys: Very active. code-review-graph: 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 code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentsys trust report](/tools/agent-sh-agentsys/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/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/_