agy-bridge logo
agy-bridge
★ 60
vs
conduit logo
conduit
★ 235

agy-bridge vs conduit

agy-bridge: A bridge for Claude Code to delegate intensive tasks to the Antigravity CLI, preserving Claude's context window and tokens. It features purpose-built tools, intelligent model routing with failover, session continuity, and configurable output safety.; conduit: Conduit acts as a local Model Context Protocol (MCP) gateway, designed to drastically reduce token overhead when AI agents utilize multiple tools by consolidating server tools into a few meta-tools. It simplifies the setup and authentication of various services, allowing them to be configured once and used across all connected AI clients.

01

TL;DR

agy-bridge logo
agy-bridgeLLM Infra · ★ 60

Analyzing large files, logs, or multiple files simultaneously with Claude Code.

conduit logo
conduitLLM Infra · ★ 235

Reducing token costs and improving context window efficiency for AI agents using many tools.

02

Side-by-Side Comparison

Field
agy-bridge logoagy-bridge
conduit logoconduit
Category
LLM Infra
LLM Infra
Stars
★ 60
★ 235
License
MIT
MIT
Install Command
claude mcp add-json -s user agy-bridge '{"command":"npx","args":["-y","agy-bridge"],"timeout":600000}'
git clone https://github.com/tsouth89/conduit.git && cd conduit && npm install && npm run build:gateway && npm run tauri dev
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Tags
LLM Integration, Claude Code, CLI Tooling
AI Agent, Tool Management, Token Optimization
03

Features

agy-bridge logoagy-bridge
01Purpose-built tools for specific tasks (e.g., file analysis, deep search, web lookup, code review).
02Intelligent per-tool model routing across `agy` models with availability detection and quota-aware failover.
03Session continuity for multi-turn conversations without resending context.
04Configurable output truncation cap to protect Claude's context window.
05Optional sandboxed execution mode for enhanced security.
conduit logoconduit
01~90% fewer tokens by using lazy-discovery mode for tools.
02Single setup and authentication for all AI clients.
03Per-agent scoping to control tool access for different clients.
04Built-in governance to toggle tools on/off and audit calls.
05A built-in playground to test tools before integration.
04

Use Cases

agy-bridge logoagy-bridge
↳Analyzing large files, logs, or multiple files simultaneously with Claude Code.
↳Performing deep Git history searches (log, diff, blame) or repository-wide greps.
↳Accessing external documentation, API references, or current web knowledge during coding.
↳Delegating complex design or code review tasks to specialized models.
conduit logoconduit
↳Reducing token costs and improving context window efficiency for AI agents using many tools.
↳Managing and authenticating multiple external services (e.g., Stripe, Supabase, GitHub) for various AI clients from a single gateway.
↳Providing granular control over which tools different AI clients or agents can access, enhancing security and compliance.
↳Testing and validating AI tools (e.g., from an MCP server) using a built-in playground before deploying them to agents.
05

Best For

agy-bridge logoagy-bridge
—
conduit logoconduit
Hidden Gem
FAQ

FAQ

What is the difference between agy-bridge and conduit?
Both agy-bridge and conduit are in the LLM Infra category. agy-bridge has 60 stars, while conduit has 235 stars.
Which is better, agy-bridge or conduit?
The best choice depends on your use case. Choose agy-bridge if Analyzing large files, logs, or multiple files simultaneously with Claude Code., and conduit if Reducing token costs and improving context window efficiency for AI agents using many tools..
Is agy-bridge free or open source?
Yes, agy-bridge is open source on GitHub (MIT).
Is conduit free or open source?
Yes, conduit is open source on GitHub (MIT).
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