freellmpool logo
freellmpool
★ 129
vs
conduit logo
conduit
★ 235

freellmpool vs conduit

freellmpool: freellmpool aggregates the free tiers of 19 LLM providers into a single OpenAI-compatible endpoint, enabling access to diverse models without API keys for some. It handles automatic failover between providers, tracks daily usage, and offers various interfaces including a CLI, Python library, and local proxy.; 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

freellmpool logo
freellmpoolLLM Infra · ★ 129

Run coding agents (e.g., Claude Code, aider) against pooled free LLM models locally

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
freellmpool logofreellmpool
conduit logoconduit
Category
LLM Infra
LLM Infra
Stars
★ 129
★ 235
License
MIT
MIT
Install Command
pip install freellmpool
git clone https://github.com/tsouth89/conduit.git && cd conduit && npm install && npm run build:gateway && npm run tauri dev
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
LLM Proxy, Free Tier, OpenAI API
AI Agent, Tool Management, Token Optimization
03

Features

freellmpool logofreellmpool
01OpenAI-compatible and experimental Anthropic-compatible API endpoint for LLMs and other services
02Automatic failover and load balancing across multiple free LLM providers on rate limits, timeouts, or errors
03Per-day usage tracking and intelligent quota management for free tiers to maximize availability
04Keyless operation for several providers, allowing immediate use without API key setup
05Intelligent routing based on prompt difficulty, latency, or usage (e.g., quality, fast, fair modes)
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

freellmpool logofreellmpool
↳Run coding agents (e.g., Claude Code, aider) against pooled free LLM models locally
↳Benchmark and monitor the health and capacity of various free LLM providers in real-time
↳Integrate free LLM capabilities into Python applications with a simple library API for tasks like summarization or embeddings
↳Serve as a local OpenAI-compatible proxy for existing tools and scripts, redirecting requests to free tiers
↳Queue and manage slow, quota-aware LLM jobs for background processing and reporting
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

freellmpool logofreellmpool
—
conduit logoconduit
Hidden Gem
FAQ

FAQ

What is the difference between freellmpool and conduit?
Both freellmpool and conduit are in the LLM Infra category. freellmpool has 129 stars, while conduit has 235 stars.
Which is better, freellmpool or conduit?
The best choice depends on your use case. Choose freellmpool if Run coding agents (e.g., Claude Code, aider) against pooled free LLM models locally, and conduit if Reducing token costs and improving context window efficiency for AI agents using many tools..
Is freellmpool free or open source?
Yes, freellmpool is open source on GitHub (MIT).
Is conduit free or open source?
Yes, conduit is open source on GitHub (MIT).
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