SDK vs llama.cpp

Side-by-side — pricing, strengths, tradeoffs, and fit.

SDK

Self-hosted AI agent framework for Convex + E2B with code execution

llama.cpp

LLM inference in C/C++ for efficient model deployment.

At a glance

Open SourceFree Tier
· Not enough data·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

Self-hosted AI agent framework for Convex + E2B with code execution

One-liner

LLM inference in C/C++ for efficient model deployment.

Maturity

Not enough data

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Teams needing full control over their data and AI agent deployment
Projects that require local execution of code for compliance or performance reasons
Developers looking to integrate Convex and E2B into self-hosted applications

✓ Best for

Teams needing to deploy LLMs locally with minimal resources
Projects focused on edge computing where low latency is critical
Developers working in environments without reliable internet access

Not ideal for

✕ Not for

Scenarios where cloud-based services are preferred due to ease of use and maintenance
Teams with limited technical expertise in setting up and maintaining a self-hosted solution

✕ Not for

Applications requiring real-time streaming capabilities
Scenarios where cloud-based services offer better performance or scalability

Strengths

↑ Strengths

Self-hosted architecture for full control over data and execution
Integration with Convex and E2B for enhanced AI capabilities
Code execution within the framework to extend functionality

↑ Strengths

High performance inference for LLMs in C/C++
Low resource consumption, suitable for edge devices
Flexibility to integrate with various hardware setups

Weaknesses

↓ Weaknesses

Limited documentation and examples for complex use cases
Performance bottlenecks when handling large-scale code execution tasks
Small community and limited third-party integrations

↓ Weaknesses

Steep learning curve for non-C/C++ developers
Limited community support and documentation
Complex setup process for non-standard hardware configurations
Performance may degrade on less powerful hardware
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