Search Results

Processes JSON data dynamically using JQ queries.

Your AI Senior Architect. Generates production-ready project structures.

Generates realistic mock data (names, emails, addresses, avatars) dynamically.

Suggests safer, actively maintained package alternatives from npm, Cargo, and PyPI registries.

Analyzes package metadata across npm, Cargo, and PyPI to evaluate dependency health and security.

Applies targeted SEARCH/REPLACE patches to files to drastically reduce output tokens.

Acts as your Senior QA Engineer. MUST be used to generate tests.

Checks the latest versions of Docker images, languages, and runtimes via Docker Hub.

Pre-processes and compresses large files, code, or JSON to optimize token usage.

Store a hard-learned architectural lesson, bug fix, or mandatory rule for the Swarm.

Active semantic memory system and cross-session state.

Search the shared Swarm memory.

Take the oldest task from the queue for processing.

Put the found task or lead into an asynchronous queue for other agents.

Search the Neonia Gateway for tools, or request new ones if they don't exist.

The Auto-Pilot engine. Allows your AI to dynamically execute newly discovered tools on the fly, without human intervention.

Analyzes text to detect AI-generated content.

Base64 encoding/decoding and cryptographic hashing.

Reliable timezone conversions and date math.

Generates secure UUIDs (v4, v7), random strings, and random numbers.

Quickly extract structured data (emails, IPs, URLs) using Regex.

Generates cryptographically secure or fast pseudo-random number sequences.

Calculates the mathematical cosine similarity between two texts.

A strict geometric linter for SVG code.

Extracts structured JSON from an image using a Vision LLM.

Fetches a JSON resource from a web URL, stores it internally, and returns its URI along with its TypeScript schema.

Scans the internet to detect plagiarism and duplicate content (Limit: 15 to 300 words).

Searches the web for live information, news, and references using Brave Search.

Fetches web pages and converts them to clean, structured Markdown for agent consumption.

Searches Wikipedia for encyclopedic information and facts.