aiagentframework

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

🤖 AI agents on autopilot. Any model. Runs local, cron, CI/CD, or Docker.

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

JarvisCore is a runtime where AI agents operate as a fleet of equal peers. Agents discover one another by capability, execute tasks from a shared ledger, and authenticate to every external service through a zero-trust broker, never with their own keys.

A simple, observable code-writing agent builder in TypeScript.

The UnisonAI Multi-Agent Framework built on custom workflow which allows ai agents to talk together and provides a flexible and extensible environment for creating and coordinating multiple autonomous AI agents. UnisonAI is designed with flexibility and scalability in mind.

A schema-driven module development framework for TypeScript.

Typed Kotlin DSL framework for AI agent systems.

Kavach AI provides robust, multi-layered content moderation and safety guardrails for AI systems. It helps protect your AI applications from harmful content, jailbreak attempts, prompt injections, and other security vulnerabilities.

Multi-agents LLM-agnostic framework based on layered parallel communication of agents

Think of this as Zoom call with your AI agents/coworkers

Your AI agent doesn't need your secrets. AegisContext swaps API keys, passwords and tokens for placeholders before the model sees them, so Agents keeps working and your secrets stay yours. Completely secure and offline redactions.