Software Alternatives & Startups

Custodyn.app VS Digraph.dev

Compare Custodyn.app VS Digraph.dev and see what are their differences

Custodyn.app

Runtime security and trust infrastructure for AI agents: Policy enforcement, human approvals, and tamper-evident audit logs for every AI agent action. Stop runaway agents before they cause real damage. The security layer your AI agents are missing.

Rating
0 reviews
Pricing
Open source Freemium Free trial $49 / Monthly
Digraph.dev

AI marketing platform for brands.

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Rating
0 reviews
Pricing
Freemium Free trial $99 / Monthly
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

AI Agents popularity
100% vs 0%
alternatives listed
12 vs 1

Base details

Website, pricing, platforms and company facts side by side.

Custodyn.app
Digraph.dev
Website custodyn.app digraph.dev
Pricing
Open source Freemium Free trial $49 / Monthly Official pricing
Freemium Free trial $99 / Monthly Official pricing
Company Startup from India · 2026 Startup from the United States · 1 - 9 employees
Listed in

About Custodyn.app and Digraph.dev

In their own words, as submitted to SaaSHub.

Custodyn.app
Digraph.dev

Custodyn is a runtime security and trust infrastructure platform for AI agents. As AI agents become autonomous — executing code, sending emails, making API calls, and taking real-world actions without human oversight — the security risks are real and largely ungoverned. Custodyn sits inside agent...

Read more about Custodyn.app

Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...

Read more about Digraph.dev

Features and specs

What each product offers, as listed by its team.

Custodyn.app 5 features
Digraph.dev 5 features
  • Policy Enforcement Engine
    Define exactly what your AI agents can and cannot do. Block dangerous actions automatically before they execute.
  • Human Approval Queues
    Risky agent actions pause and wait for human sign-off before proceeding. Full control stays with your team.
  • Multi-Framework SDK
    Drop-in Python and JS SDKs with integrations for LangChain, CrewAI, AutoGen, MCP, Claude Code, and OpenAI Agents SDK.
  • Open-Core Model
    MIT licensed SDK for developer adoption. Paid SaaS platform for teams that need policy management, dashboards, and compliance.
  • Tamper-Evident Audit Logs
    Every agent action — allowed, blocked, or approved — is logged in a cryptographically verifiable audit trail. SOC2 ready.
  • Developer-focused positioning
    The .dev domain and branding suggest a tool built for developers and technical teams, so its workflows are likely to fit engineering needs better than a generic product. I could not browse the site, so this is inferred from its positioning rather than confirmed.
  • Graph-based approach
    The name 'Digraph' (directed graph) suggests it models information as connected nodes and relationships. That kind of structure can make dependencies, ideas, or decisions easier to see than flat lists or documents. Confirm how the product actually uses this.
  • Modern, minimal presentation
    Newer developer tools tend to have lean interfaces and a focused feature set, which can mean a short learning curve and less clutter. I could not verify this for Digraph, so check it with a trial.
  • Potential for better organization and clarity
    If the tool works as the name suggests, visualizing relationships between items can improve shared understanding across a team. The benefit depends on how well the product is executed.
  • Early-stage responsiveness
    Smaller or newer products often respond quickly to user feedback and let users influence the roadmap. This is a general tendency and has not been verified for Digraph.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Custodyn.app
Digraph.dev
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Custodyn.app and Digraph.dev.

Why should a person choose your product over its competitors?

Custodyn.app's answer

Most AI security tools sit outside the agent — monitoring network traffic or endpoint activity. Custodyn sits inside the agent code itself. It's developer-first, open-core, and self-serve — pip install or npm install and you're running in minutes. No demo call, no sales process. The MIT licensed SDK means developers adopt it freely, the paid platform gives teams policy management, dashboards, and audit compliance.

What's the story behind your product?

Custodyn.app's answer

Built by a solo founder with 15+ years in information security and penetration testing. In early 2026, AI agents started taking real-world autonomous actions with no security layer governing them. The July 2026 incidents — OpenAI agent breaching Hugging Face infrastructure, Anthropic's agentic misalignment report — confirmed the problem was real and urgent. Custodyn was built to be the security layer AI agents were missing.

What makes your product unique?

Custodyn.app's answer

Custodyn is the only AI agent security platform that works at the SDK layer — embedded directly inside agent code. Unlike endpoint-based solutions, Custodyn intercepts actions inside custom LangChain, CrewAI, and AutoGen pipelines that no endpoint sensor can reach. Human-in-the-loop approval queues mean dangerous actions wait for human sign-off before executing — not just blocked or allowed, but genuinely governed.

How would you describe the primary audience of your product?

Custodyn.app's answer

Developers and security teams building production AI agent systems using LangChain, CrewAI, AutoGen, OpenAI Agents SDK, MCP, or Claude Code — who need runtime governance, human oversight, and audit trails before deploying agents in high-stakes environments.

Which are the primary technologies used for building your product?

Custodyn.app's answer

Python Flask (backend) SQLite (database) Python SDK (PyPI) JavaScript SDK (npm) Railway (deployment) Razorpay (billing)

Who are some of the biggest customers of your product?

Custodyn.app's answer

No enterprise customers yet - pre-revenue, currently seeking first customers and open to acquisition

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Alternatives to Custodyn.app and Digraph.dev

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