Comparison
code-review-graph vs agents
Verdict
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 large-repo workflows; 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.
Markdown twin · code-review-graph alternatives · agents alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | code-review-graph | agents |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- code-review-graph
- Local-first code intelligence graph for AI coding tools
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- code-review-graph
- 32k
- agents
- 40k
Forks
- code-review-graph
- 2.9k
- agents
- 4.2k
Open issues
- code-review-graph
- 135
- agents
- 12
Language
- code-review-graph
- Python
- agents
- Python
Adopt for
- code-review-graph
- 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.
- agents
- 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
- code-review-graph
- -
- agents
- -
Runtime
- code-review-graph
- -
- agents
- -
License
- code-review-graph
- MIT License
- agents
- MIT
Last pushed
- code-review-graph
- Sep 17, 2026
- agents
- Sep 19, 2026
Categories
- code-review-graph
- Developer Tools, Model Training
- agents
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- code-review-graph
- 135
- agents
- 12
Stars delta
- code-review-graph
- +5.1k (30d)
- agents
- +895 (30d)
Open issues delta
- code-review-graph
- +13 (30d)
- agents
- +7 (30d)
Full report
- code-review-graph
- Trust report
- agents
- Trust report
Shared compatibility
- Cursor · code-review-graph: Works with Cursor · agents: Works with Cursor
Choose code-review-graph if…
- Requirements: Requires Python 3.10+..
- Tags unique to code-review-graph: ai-coding, claude, code-review, graph.
- 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 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.
Choose agents if…
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- Also covers AI Agents.
- 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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (tirth8205/code-review-graph) · observed Sep 20, 2026
- GitHub forks (tirth8205/code-review-graph) · observed Sep 20, 2026
- Last push (tirth8205/code-review-graph) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (wshobson/agents) · observed Sep 20, 2026
- GitHub forks (wshobson/agents) · observed Sep 20, 2026
- Last push (wshobson/agents) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: code-review-graph 32k · agents 40k (synced Sep 20, 2026).
Common questions
- What is the difference between code-review-graph and agents?
- code-review-graph: Local-first code intelligence graph for AI coding tools. 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 code-review-graph over agents?
- Choose code-review-graph over agents when Requirements: Requires Python 3.10+.; Tags unique to code-review-graph: ai-coding, claude, code-review, graph; 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 choose agents over code-review-graph?
- Choose agents over code-review-graph when Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; 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 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.
- 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 code-review-graph or agents more popular on GitHub?
- agents has more GitHub stars (39,823 vs 31,569). Stars measure visibility, not whether either tool fits your constraints.
- Are code-review-graph and agents open source?
- Yes - both are open-source projects on GitHub (code-review-graph: MIT, agents: MIT).
- Where can I find alternatives to code-review-graph or agents?
- GraphCanon lists graph-backed alternatives at code-review-graph alternatives and agents alternatives (code-review-graph markdown twin, agents markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, code-review-graph or agents?
- code-review-graph: 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 code-review-graph and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-review-graph trust report; agents trust report.