AgentIndex icon
AgentIndex
heddle logo
heddle
★ 14
vs
sourcerykit logo
sourcerykit
★ 21

heddle vs sourcerykit

heddle: Heddle provides a policy-and-trust layer for Model Context Protocol (MCP) tool servers, enabling secure and declarative exposure of APIs as AI agent tools. It offers built-in security features such as trust enforcement, credential brokering, and tamper-evident audit logging, alongside containerized sandboxing and AI-powered configuration generation.; sourcerykit: SourceryKit, also known as Provably SDK, is a Python library that integrates a deterministic evaluation layer into any Python agent. It records outbound HTTP calls, evaluates claims against trusted records, and enforces endpoint policies to ensure agents operate within defined boundaries.

01

TL;DR

heddle logo
heddleSecurity & Safety · ★ 14

Securely Exposing APIs to LLMs

Read heddle full review →
sourcerykit logo
sourcerykitSecurity & Safety · ★ 21

Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints.

Read sourcerykit full review →
02

Side-by-Side Comparison

Field
heddle logoheddle
sourcerykit logosourcerykit
Category
Security & Safety
Security & Safety
Stars
★ 14
★ 21
License
MIT
NOASSERTION
Install Command
git clone https://github.com/goweft/heddle.git && cd heddle && python -m venv venv && source venv/bin/activate && pip install -e ".[dev]"
git clone [email protected]:ProvablyAI/provably-python-sdk.git && pip install -e ./provably-python-sdk
Updated
1mo ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Security, Policy Enforcement, Declarative Configuration
Python SDK, LLM Agent, Verifiable Guardrails
03

Features

heddle logoheddle
01Declarative YAML Tool Configuration
02Comprehensive Security Controls
03AI-Powered Configuration Generation
04Containerized Sandboxing
sourcerykit logosourcerykit
01Intercept and Police outbound HTTP calls against trusted endpoints.
02Capture and Store all HTTP requests and responses into a Postgres database.
03Evaluate agent claims against proven indexed values using deterministic comparisons.
04Seamless integration with major LLM frameworks and SDKs like OpenAI, LangChain, and LlamaIndex.
04

Use Cases

heddle logoheddle
↳Securely Exposing APIs to LLMs
↳Building AI Agent Tool Meshes
↳Automating Daily Operations with AI
↳Managing GPU Resources for LLMs
sourcerykit logosourcerykit
↳Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints.
↳Verifying the accuracy of claims made by AI agents based on their external interactions.
↳Building auditable AI systems where every external call and agent claim is recorded and verifiable.
↳Implementing verifiable guardrails for agents to prevent unauthorized access or data manipulation.
FAQ

FAQ

What is the difference between heddle and sourcerykit?
Both heddle and sourcerykit are in the Security & Safety category. heddle has 14 stars, while sourcerykit has 21 stars.
Which is better, heddle or sourcerykit?
The best choice depends on your use case. Choose heddle if Securely Exposing APIs to LLMs, and sourcerykit if Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints..
Is heddle free or open source?
Yes, heddle is open source on GitHub (MIT).
Is sourcerykit free or open source?
Yes, sourcerykit is open source on GitHub (NOASSERTION).
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