Code Review Graph vs Juggler: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Code Review Graph and Juggler — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
C
Code Review Graph
tirth8205
Code Review Graph is a local-first code intelligence graph for MCP and CLI that cuts AI coding tool context by mapping only what matters.
Key features
- Persistent Repo Graph: Builds and maintains a graph of the codebase's symbols, references, and structure so lookups are instant on subsequent runs.
- MCP Server Integration: Exposes the graph as an MCP server so Claude Code, Cursor, and other MCP-compatible agents can query it directly.
- CLI Access: A first-class command-line interface lets developers query the graph without an agent in the loop.
- Task-Scoped Context Slices: Instead of loading whole files, returns only the pieces of code an AI tool needs — with benchmarked context reductions.
- Local-First Privacy: All indexing and serving runs on the developer's machine, so source code never leaves the environment.
- PyPI Distribution: Installs with a single `pip install code-review-graph` and works on any Python 3.10+ setup.
Best for
- Cheaper AI Code Reviews: Feed only the relevant slices of a change to a review agent so token spend on large PRs stays low.
- Large Monorepo Workflows: Give coding agents targeted context in repos too big to fit into any model's window.
- MCP-Compatible Agent Enhancement: Plug into Claude Code or Cursor as an MCP server to add repo-aware retrieval.
- Local Refactor Planning: Use the CLI to explore dependencies and impact before making cross-cutting changes.
- Air-Gapped Codebases: Keep proprietary source local while still using AI tools that consume the graph rather than raw files.
- Onboarding Assistance: Help new engineers navigate a large codebase by querying the graph for related symbols and callers.
Juggler
Julian Storer
A native desktop workbench for AI coding agents with branching conversation trees, inspectable tool calls and editable context.
Key features
- Branching Conversation Trees: Fork the session at any point, recursively, so competing approaches and tangents run side by side without polluting the main context.
- Miller Column Navigation: A Finder-style column layout lays out tool calls, item properties and nested sub-threads for long reading and editing sessions.
- Transaction Inspector: Open any model transaction to see the assembled system prompt, messages, tool definitions, output, token use, timing and stop reason.
- The Context Surgeon: Fold history into a new thread, move or copy items between branches, expand a branch back into its parent, and undo structural changes.
- Local or Remote Sessions: Run the desktop app locally or the headless binary on the machine holding the code, then attach from the app, a browser or a phone.
- Durable Sessions: Sessions are stored on disk as live-synced Yjs documents, so quits, relaunches and dropped connections do not lose the conversation.
- Automatic Context Sizing: Juggler measures the full request before each call, reserves room for the answer and compacts older history before limits become an error.
- Inspectable MCP Tools: Follow an MCP handoff end to end - schema offered, arguments generated, approval, result and errors - with server status, logs and per-tool filtering.
- JavaScript Extension SDK: Context items, LLM loop strategies, slash commands, viewers and Pinboard tabs are extensions you can fork or replace, under a permissive Apache-2.0 SDK.
Best for
- Exploring Competing Fixes: Branch a thread into two sub-threads to try different approaches to the same bug and compare results before committing.
- Auditing Agent Behavior: Inspect exactly what the model received and returned when an agent makes a surprising edit to the codebase.
- Remote Development: Run the server on a dev box or GPU machine where the repository lives and drive the same live session from a laptop or browser.
- Long Refactors: Keep a multi-hour session alive across quits and reconnects, with the agent paused awaiting approval for its next step.
- Provider Comparison: Drive Claude Code, Codex, Copilot, Gemini and local Ollama models through one interface to compare behavior on the same task.
- Custom Tooling: Write JavaScript extensions that add slash commands, file viewers or new LLM loop strategies to the workbench.