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

helio vs sourcerykit

helio: Helio is an open-source MCP proxy that provides governance for AI agents by enforcing policies on tool calls, managing spend, and routing approvals. It operates between agents and their tools, ensuring useful autonomy without unlimited authority across various platforms and frameworks.; 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

helio logo
helioSecurity & Safety · ★ 14

Prevent unauthorized API calls and modifications to production records by AI agents.

Read helio 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
helio logohelio
sourcerykit logosourcerykit
Category
Security & Safety
Security & Safety
Stars
★ 14
★ 21
License
Apache-2.0
NOASSERTION
Install Command
npx @gethelio/proxy init
git clone [email protected]:ProvablyAI/provably-python-sdk.git && pip install -e ./provably-python-sdk
Updated
1d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
MCP Proxy, AI Agent Governance, Tool Call Policy
Python SDK, LLM Agent, Verifiable Guardrails
03

Features

helio logohelio
01Declarative Policy Engine: Define YAML rules for tool names, inputs, and state, with hot-reloading and dry-run mode.
02Cross-Tool Spend Budgets: Aggregate and cap spending across multiple tools and MCP servers with break-glass approvals.
03Approval Workflows: Route sensitive tool calls to Slack, webhooks, or the dashboard for human review and approval.
04Comprehensive Audit Trail: Record all tool calls, policy decisions, and responses for full traceability and searchability.
05Evidence Grounding: Require fresh, application-provided evidence to validate actions, preventing accidental skips.
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

helio logohelio
↳Prevent unauthorized API calls and modifications to production records by AI agents.
↳Establish centralized governance for AI agents operating across multiple platforms like Claude, ChatGPT, and LangChain.
↳Implement human-in-the-loop approval workflows for sensitive or destructive agent operations.
↳Manage and cap cumulative spending by AI agents across various integrated tools and services.
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 helio and sourcerykit?
Both helio and sourcerykit are in the Security & Safety category. helio has 14 stars, while sourcerykit has 21 stars.
Which is better, helio or sourcerykit?
The best choice depends on your use case. Choose helio if Prevent unauthorized API calls and modifications to production records by AI agents., and sourcerykit if Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints..
Is helio free or open source?
Yes, helio is open source on GitHub (Apache-2.0).
Is sourcerykit free or open source?
Yes, sourcerykit is open source on GitHub (NOASSERTION).
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