Custos — The bouncer for your AI agents vs Skeg
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Custos — The bouncer for your AI agents
Stop AI agents from doing things they shouldn't.
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | Custos — The bouncer for your AI agents |  Skeg |
|---|---|---|
| Primary Category | Developer Tools | Developer Tools |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 7 votes | 6 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Artificial Intelligence#Developer Tools#GitHub#Security | #Artificial Intelligence#Developer Tools#Database |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Custos — The bouncer for your AI agents
Custos is an open-source safety and control layer designed specifically for AI agents, acting as a reliable 'bouncer' for your applications. As AI agents increasingly interact with critical infrastructure, Custos sits directly between the agent and its tools—such as APIs, files, databases, shell commands, and MCP servers—to intercept and verify every single action before it is executed.
Built for teams deploying AI agents in real-world environments, Custos allows you to explicitly define rule sets determining what an agent is allowed to do, automatically blocking anything outside of those bounds. Furthermore, every action attempted or performed is recorded in a secure, tamper-evident audit trail. With native support for both Python and TypeScript, Custos provides developers with the robust security infrastructure needed to prevent AI agents from performing unintended or harmful actions.
Pros of Custos — The bouncer for your AI agents
- Acts as an interception layer between AI agents and critical tools like APIs, files, databases, shell commands, and MCP servers.
- Provides a tamper-evident audit trail recording every agent action.
- Open-source software built for teams running real-world AI agent environments.
- Supports both Python and TypeScript development stacks.
Cons of Custos — The bouncer for your AI agents
- Relies entirely on developer-defined rules to catch unexpected agent behaviors.
- Limited to Python and TypeScript language support based on current specifications.
- Requires integration work to sit between existing agents and their target tools.
Frequently Asked Questions
What is Custos?
Custos is an open-source safety and control layer for AI agents that sits between the agent and its tools to check every action before it runs, blocking anything outside of defined rules.
Which programming languages are supported?
Custos works with both Python and TypeScript.
How does Custos handle security and tracking?
Custos checks actions against your defined rules and records every action in a tamper-evident audit trail.
What tools can Custos monitor and control?
Custos can monitor actions directed at APIs, files, databases, shell commands, and MCP servers.
About Skeg
Skeg is an open-source, multi-tenant vector database written in Rust, designed specifically to address memory constraints in vector storage. It is engineered for extreme RAM efficiency, allowing developers to pack significantly more vectors per gigabyte of memory without sacrificing search recall.
Purpose-built for high-density, many-tenant deployments, Skeg treats memory efficiency as a primary design consideration rather than an afterthought. This makes it an ideal database solution for infrastructure setups where RAM capacity is the critical bottleneck.
Pros of Skeg
- Extreme RAM efficiency to pack more vectors per GB
- Maintains high search recall
- Specifically optimized for high-density, multi-tenant deployments
- Open source and written in Rust for performance and safety
Cons of Skeg
- Focused primarily on memory-constrained vector use cases, which may be redundant for environments with abundant RAM
- No managed cloud hosting or commercial support options are mentioned in the metadata
Frequently Asked Questions
What is Skeg?
Skeg is an open-source, multi-tenant vector database written in Rust. It is designed to offer extreme RAM efficiency, allowing you to store more vectors per GB while maintaining high recall.
Who is Skeg built for?
Skeg is purpose-built for high-density, many-tenant deployments where server memory (RAM) is the primary constraint or bottleneck.
Is Skeg open source?
Yes, Skeg is open-source software and its repository is hosted on GitHub.