How to Run Cyclic AI Agents in Java
LangGraph4j brings cyclic AI agent orchestration to Java, with native Spring AI integration, state persistence, and a visual studio for debugging complex graphs.
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LangGraph4j brings cyclic AI agent orchestration to Java, with native Spring AI integration, state persistence, and a visual studio for debugging complex graphs.
A quirky desktop app wraps console AI agents in a pixel Office-inspired interface, letting Claude Code, Codex, and local models collaborate through a file-based mailbox system.
Cali is a CLI tool that uses LLM agents to automate mobile testing, performance profiling, and code review for React Native and Expo projects.
Open-source mcp-scanner audits MCP servers for hidden threats using YARA, LLM-as-judge, and Docker sandboxing.
Tired of manually switching between AI models to review code? Meet Mysti, a VS Code extension that orchestrates multiple CLI assistants to work together, debate architecture, and catch bugs as a team.
Apify's MCP server lets AI agents tap into thousands of ready-made cloud scrapers through a unified tool-calling interface, eliminating the need to build custom scraping infrastructure.
Omnigent is an open-source Python meta-framework that orchestrates multiple AI coding agents under one roof with unified interfaces and security policies.
PR-AF is an open-source tool for deep code auditing that builds dynamic agent graphs, extracts AST trees, and verifies each finding for falsifiability.
txtai is an all-in-one Python library combining vector database, hybrid search with SQL, graph analytics, and LLM orchestration for RAG pipelines.
Aether embeds an Alpine Linux VM into a mobile AI agent, letting language models execute code locally on smartphones without external servers.
Firebase team open-sourced Genkit, a framework for building AI features. Does it help combine Gemini, OpenAI, and Ollama without spaghetti code?
Andrew Ng sparked debate by suggesting GPT-3.5 in an agentic workflow can beat GPT-4. A curated catalog of 200+ AI agent tools reveals the modern stack.
Turn vague AI prompts into professional documents with 700+ ready-made Markdown instructions for engineers, lawyers, and marketers.
Openship is an open-source self-hosted PaaS that promises simple deployments without YAML hell. Here's what it offers and who it's for.
Callstack released agent-device, a CLI tool that gives AI agents "hands and eyes" to test mobile apps directly on simulators and emulators.
Building multi-agent AI systems doesn't have to be a nightmare. Neuro SAN Studio offers declarative configs and a visual editor to orchestrate LLM agents without endless Python code.
ADK Go is a complete toolkit for building AI agents in Go, with idiomatic code, production-ready cloud deployment, and multi-agent systems support.
AI Data Science Team by Business Science automates routine Data Science tasks with specialized AI agents and a visual pipeline builder.
Agent Squad by AWS Labs lets you build multi-agent AI systems where specialized agents work together seamlessly, with intelligent routing and context management.
A look at AI Fusion Video, an open-source platform that turns scripts into structured video productions using AI agents, with a modern Java/Spring AI backend.