Software Alternatives & Startups
Register | Login

AgentLock VS mlsql

Compare AgentLock VS mlsql and see what are their differences

AgentLock

AgentLock is a security gateway for AI agents: agents request, you approve on your phone. Zero-knowledge key vault, full audit trail, free plan available.

Rating
0 reviews
Pricing
Freemium $9 / Monthly (Pro)
Promote on VibeVoted
Alternatives Is it good?
mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
LLMboost
While you’re optimizing for Google, millions are switching to ChatGPT, Claude, and Perplexity for recommendations. sponsored
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?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
AI Agents popularity
100% vs 0%
alternatives listed
8 vs 1

Base details

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

AgentLock
mlsql
Website agentlock.net github.com
Pricing
Freemium $9 / Monthly (Pro) Official pricing
—
Platforms
Web iOS Android
—
Company Startup from Switzerland · 1 - 9 employees —
Listed in
AI Agents Secrets Management Security & Privacy AI Developer Tools AI Tools Password Management SecretOps +5
Education LMS Online Learning Web App +1

About AgentLock and mlsql

In their own words, as submitted to SaaSHub.

AgentLock
mlsql

AgentLock is a security gateway between AI agents and the services they touch. An agent sends its intended action - an HTTP call, an MCP tool call, a browser session, an SSH command - through AgentLock, where a policy decides whether it runs, is blocked, or needs human approval. Approvals arrive...

Read more about AgentLock

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

AgentLock 3 features
mlsql 0 features
  • Human Approval Gateway
    Every agent action runs through a policy: allowed, blocked, or held for a human approval that arrives on the phone and expires if nobody answers.
  • Zero-Knowledge Credential Vault
    Secrets are stored AES-256 encrypted and injected only at execution time, so the agent never sees the key itself.
  • Audit Trail And Undo
    Each request, decision and result lands in a timeline, and supported actions can be undone afterwards.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

AgentLock
mlsql

No analysis of AgentLock yet.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

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
AgentLock
mlsql
100% 100%
AI Agents
0% 0%
0% 0%
LMS
100% 100%
100% 100%
Secrets Management
0% 0%
0% 0%
Education
100% 100%

Questions & Answers

As answered by people managing AgentLock and mlsql.

What makes your product unique?

AgentLock's answer

AgentLock sits between the agent and the outside world instead of trusting the agent to behave. Every HTTP call, MCP tool call, browser action or SSH command becomes a request that a policy decides on, and anything sensitive waits for a human approval that arrives on the phone. Credentials live in the vault and are injected only at execution time, so an agent can use a key without ever seeing it - and if nobody approves in time, the action simply does not happen.

Why should a person choose your product over its competitors?

AgentLock's answer

A secrets manager stores keys, but once an agent holds one, nothing stops it from making the wrong call. AgentLock covers both halves: the encrypted vault plus a gateway with policies, human approval, automatic redaction, a full timeline and undo for supported actions. It is available as an MCP server and an SDK, so an existing agent can be routed through it without a rewrite, and the free plan already covers 100 actions a month with one agent.

How would you describe the primary audience of your product?

AgentLock's answer

Developers who run autonomous agents against real systems - deployments, payments, mail, customer data - and want an audit trail and a stop button instead of hoping the prompt holds. Small teams also use it to let an agent work with shared credentials without handing the keys to every team member or to the model itself.

Which are the primary technologies used for building your product?

AgentLock's answer

TypeScript across the stack: a React dashboard on Vercel, Supabase with Postgres, Auth and Edge Functions for data, policies and the encrypted vault, a self-hosted runner for actions that need a private network, React Native for the iOS and Android approval app, and Stripe for billing.

User comments

Share your experience with using AgentLock and mlsql. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

AgentLock 0 mentions
mlsql 2 mentions

Tracking AgentLock since Sep 2026.

  • Download the files from Docker Container and locally edit them
    I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to AgentLock and mlsql

When comparing AgentLock and mlsql, you can also consider the following products.

Loading...