sourcerykit logo
sourcerykit
★ 21
vs
agents-shipgate logo
agents-shipgate
★ 90

sourcerykit vs agents-shipgate

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.; agents-shipgate: Agents Shipgate is an open-source CLI and GitHub Action that serves as a deterministic merge gate for AI-generated agent capability changes. It performs local-first, static Tool-Use Readiness review, scanning various agent artifacts to ensure explicit approval policies, scope coverage, and idempotency evidence before merging.

01

TL;DR

sourcerykit logo
sourcerykitSecurity & Safety · ★ 21

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

agents-shipgate logo
agents-shipgateSecurity & Safety · ★ 90

Reviewing and validating new or changed agent tool definitions before merging pull requests.

02

Side-by-Side Comparison

Field
sourcerykit logosourcerykit
agents-shipgate logoagents-shipgate
Category
Security & Safety
Security & Safety
Stars
★ 21
★ 90
License
NOASSERTION
Apache-2.0
Install Command
git clone [email protected]:ProvablyAI/provably-python-sdk.git && pip install -e ./provably-python-sdk
pipx install agents-shipgate
Updated
3d ago
5d ago
Open Source
Yes
Yes
Tags
Python SDK, LLM Agent, Verifiable Guardrails
AI Agents, Tool-Use Readiness, Static Analysis
03

Features

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.
agents-shipgate logoagents-shipgate
01Acts as a deterministic merge gate for AI-generated agent capability changes.
02Performs local-first, static analysis without agent execution or LLM calls.
03Scans and validates tool definitions from various sources (MCP, OpenAPI, OpenAI SDK, LangChain, CrewAI, etc.).
04Generates comprehensive Tool-Use Readiness Reports and PR comments with merge verdicts.
05Supports CI/CD integration as a GitHub Action for automated review.
04

Use Cases

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.
agents-shipgate logoagents-shipgate
↳Reviewing and validating new or changed agent tool definitions before merging pull requests.
↳Enforcing approval policies, scope coverage, and idempotency for agent actions in CI/CD pipelines.
↳Providing static evidence for security and GRC reviewers without executing agent code.
↳Blocking risky capabilities, such as financial transactions, if explicit safeguards are not declared.
↳Integrating with coding agents (e.g., Claude Code, Codex, Cursor) to automate self-correction during development.
FAQ

FAQ

What is the difference between sourcerykit and agents-shipgate?
Both sourcerykit and agents-shipgate are in the Security & Safety category. sourcerykit has 21 stars, while agents-shipgate has 90 stars.
Which is better, sourcerykit or agents-shipgate?
The best choice depends on your use case. Choose sourcerykit if Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints., and agents-shipgate if Reviewing and validating new or changed agent tool definitions before merging pull requests..
Is sourcerykit free or open source?
Yes, sourcerykit is open source on GitHub (NOASSERTION).
Is agents-shipgate free or open source?
Yes, agents-shipgate is open source on GitHub (Apache-2.0).
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