AgentIndex icon
AgentIndex
heddle logo
heddle
★ 14
vs
centian logo
centian
★ 15

heddle vs centian

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.; centian: Centian is a crucial layer sitting between AI agents and the systems they interact with, providing security, observability, and control. It captures every agent action, enforces allowed behaviors, and verifies execution against predefined contracts to mitigate risks in production environments.

01

TL;DR

heddle logo
heddleSecurity & Safety · ★ 14

Securely Exposing APIs to LLMs

Read heddle full review →
centian logo
centianSecurity & Safety · ★ 15

Deploy agents in production safely by mitigating risks.

Read centian full review →
02

Side-by-Side Comparison

Field
heddle logoheddle
centian logocentian
Category
Security & Safety
Security & Safety
Stars
★ 14
★ 15
License
MIT
Apache-2.0
Install Command
git clone https://github.com/goweft/heddle.git && cd heddle && python -m venv venv && source venv/bin/activate && pip install -e ".[dev]"
curl -fsSL https://raw.githubusercontent.com/T4cceptor/centian/main/scripts/install.sh | bash
Updated
1mo ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Security, Policy Enforcement, Declarative Configuration
AI Agent Security, Agent Observability, Runtime Enforcement
03

Features

heddle logoheddle
01Declarative YAML Tool Configuration
02Comprehensive Security Controls
03AI-Powered Configuration Generation
04Containerized Sandboxing
centian logocentian
01Audit trail & observability: Understand what your agents did — and why.
02Realtime context & action guard: Centian governs what enters and leaves the agent's context bidirectionally at runtime.
03Verified execution: Confirm your agents are doing what you actually approved.
04Blast radius management: Exclude catastrophic scenarios by design.
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
centian logocentian
↳Deploy agents in production safely by mitigating risks.
↳Monitor running agents to quickly notice if something goes wrong.
↳Audit AI decisions for compliance and accountability.
↳Prevent agents from performing destructive actions on critical systems.
FAQ

FAQ

What is the difference between heddle and centian?
Both heddle and centian are in the Security & Safety category. heddle has 14 stars, while centian has 15 stars.
Which is better, heddle or centian?
The best choice depends on your use case. Choose heddle if Securely Exposing APIs to LLMs, and centian if Deploy agents in production safely by mitigating risks..
Is heddle free or open source?
Yes, heddle is open source on GitHub (MIT).
Is centian free or open source?
Yes, centian is open source on GitHub (Apache-2.0).
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