Code Graph RAG vs Prompt Bridge: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Code Graph RAG and Prompt Bridge — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
C
Code Graph RAG
vitali87
Multi-language monorepo RAG: Tree-sitter parses your codebase into a Memgraph knowledge graph so you can query, edit, and refactor in plain English.
Key features
- Multi-Language Graph Ingest: Tree-sitter parses Python, TypeScript, TSX, JavaScript, Rust, Go, Java, C, C++, C#, PHP, Lua, and Dart into a single language-agnostic Memgraph schema.
- Natural-Language Cypher: The interactive CLI turns plain-English questions into Cypher queries and answers grounded in the real code structure, not vector-only guesses.
- AST-Based Surgical Editing: The agent edits code through structural patches with a diff preview before any change is applied.
- Structural Search & Replace: ast-grep is exposed as an agent tool, so you match and rewrite by AST pattern across the whole codebase instead of regex.
- Pluggable ast-grep Tier: Add a new language from a single YAML pattern file — Ruby was added this way with Module/Function/Class nodes plus import edges.
- Data-Flow Tracing: FLOWS_TO taint edges follow values through assignments, function calls, and I/O sinks across C, Java, C#, and Go.
- Dead-Code Detection: Walk call and reference edges from entry points to find functions and modules nothing reaches.
- Shared Graph Across Projects: Index many repos into one shared graph and query across them; a `clean` subcommand resets from scratch with confirmation.
Best for
- Monorepo Q&A: Ask 'where is refund logic in this monorepo?' and get grounded answers from a graph of the real code, not stale docs.
- AI-Assisted Refactoring: Rename or restructure APIs across languages with AST patches and a diff preview before commit.
- Cross-Language Data-Flow Audits: Trace a value through assignments and function calls to see where sensitive data ends up.
- Dead-Code Cleanup: Find unreachable functions and modules by walking call edges from entry points.
- Codebase Onboarding: Give a new engineer or agent a queryable graph they can explore in natural language.
- Structural Migrations: Use ast-grep to rewrite deprecated patterns (imports, error handling, config lookups) across a polyglot codebase.
Prompt Bridge
Prompt Bridge
Free Chrome extension that captures your AI chat context and injects it into any other AI platform in one click.
Key features
- One-Click Capture: Save the full conversation from ChatGPT, Claude, Gemini, Grok, Copilot or DeepSeek with a single button.
- Smart Compression: An AI summarizer condenses long chats into tight context blocks, cutting token cost when re-injecting.
- Instant Bridge Inject: Paste your saved context into any other AI's input box in one click, without manual copy-paste.
- Auto Platform Detection: Recognizes the active AI site on tab switch and adjusts capture/inject actions without setup.
- Local-Only Storage: Conversations are kept on your device — no servers, no cloud sync, no telemetry.
- Multi-Browser Support: Ships as a Chrome Web Store extension and works on Chrome, Edge and Brave.
- Zero Sign-Up: Installs and runs without an account or configuration.
Best for
- Cross-Platform Research: Continue a long ChatGPT thread inside Claude or Gemini without losing the accumulated context.
- Model Comparison: Feed the same conversation into different LLMs to compare answers on identical setups.
- Token Cost Reduction: Compress a long chat before re-injecting so you don't pay to replay the full history.
- Privacy-Conscious Workflows: Move sensitive discussions between AIs while keeping the transcript exclusively on-device.
- Team Handoffs: Share a compressed context block with a teammate so they can pick up an AI conversation from a fresh session.
- Multi-Model Coding Loops: Draft with one model, refine with another, and let context travel along instead of re-typing.