AgentIndex icon
AgentIndex
rllm logo
rllm
★ 5.9k
vs
conduit logo
conduit
★ 233

rllm vs conduit

rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.; 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

rllm logo
rllmLLM Infra · ★ 5.9k

Training powerful coding models for tasks like code generation and bug fixing.

Read rllm full review →
conduit logo
conduitLLM Infra · ★ 233

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

Read conduit full review →
02

Side-by-Side Comparison

Field
rllm logorllm
conduit logoconduit
Category
LLM Infra
LLM Infra
Stars
★ 5.9k
★ 233
License
Apache-2.0
MIT
Install Command
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
git clone https://github.com/tsouth89/conduit.git && cd conduit && npm install && npm run build:gateway && npm run tauri dev
Updated
1w ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Reinforcement Learning, Language Agents, LLM
AI Agent, Tool Management, Token Optimization
03

Features

rllm logorllm
01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
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

rllm logorllm
↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
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

rllm logorllm
Trending
conduit logoconduit
Hidden Gem
FAQ

FAQ

What is the difference between rllm and conduit?
Both rllm and conduit are in the LLM Infra category. rllm has 5.9k stars, while conduit has 233 stars.
Which is better, rllm or conduit?
The best choice depends on your use case. Choose rllm if Training powerful coding models for tasks like code generation and bug fixing., and conduit if Reducing token costs and improving context window efficiency for AI agents using many tools..
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
Is conduit free or open source?
Yes, conduit is open source on GitHub (MIT).
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Related

Alternatives to rllm →Alternatives to conduit →rllm details →conduit details →