head to head · open source
code-review-graph vs agentsys
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. agentsys has 1,011 stars, 118 forks, 0 open issues and last shipped yesterday. code-review-graph leads on adoption by 3,121% (32,563 vs 1,011 stars). code-review-graph is written in Python under MIT; agentsys is written in JavaScript under MIT. code-review-graph has attracted 9% as many forks as stars, agentsys 12%. agentsys was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (claude, claude-code, code-review), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| code-review-graph | agentsys | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 1.0K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-10-29 | 2026-11-02 |
| Forks | ⑂ 3.0K | ⑂ 118 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick code-review-graph if
- You weight community size — 33K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick agentsys if
- You want the agentsys feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and agentsys fits your workflow better
About code-review-graph
code review graph Stop burning tokens. Start reviewing smarter. English 简体中文 日本語 한국어 हिन्दी Usage · Commands · FAQ · Troubleshooting · GitHub Action · Reproducing the benchmarks · Roadmap AI coding tools can end up re reading large parts of your codebase on review tasks. code review graph fixes that. It builds a structural map of your code with Tree sitter, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters. Quick Start One command sets up everything. install detects which AI coding tools you have, writes the correct MCP configuration for each one…
read the full code-review-graph overview →
About agentsys
AgentSys A modular runtime and orchestration system for AI agents. 24 plugins · 49 agents · 44 skills (across all repos) · 30k lines of lib code · 3,518 tests · 5 platforms Plugins distributed as standalone repos under agent sh org agentsys is the marketplace & installer ⚡ Running this agent 24/7? tiyuvta inference — hosted LLM inference built for always on agents, OpenAI/Anthropic compatible APIs. Commands · Installation · Website · Discussions Built for Claude Code · Codex CLI · OpenCode · Cursor · Kiro New skills, agents, and integrations ship constantly. Follow for real time updates: AI models can write…
read the full agentsys overview →
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Frequently asked questions
Is code-review-graph or agentsys more popular?
code-review-graph has 32,563 GitHub stars and agentsys has 1,011. code-review-graph has the larger community by that measure.
Are code-review-graph and agentsys free?
Both are open source. code-review-graph is licensed under MIT and agentsys under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and agentsys?
code-review-graph is written in Python and agentsys in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, code-review-graph or agentsys?
Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose agentsys if its feature set, stack or MIT licence fits better. Both are self-hostable.