Mastra is the modern TypeScript framework for AI-powered applications and agents.
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Parlant is an open platform for building customer-facing chat agents with AI. Describe how the agent should behave, and your coding agent implements it for you.
- llm
- customer-service
- customer-success
- python
TranslatedFay is an agent framework that helps digital humans (2.5D, 3D, mobile, PC, web) or large language models (OpenAI-compatible, DeepSeek) connect to business systems.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
- huggingface
- java
- langchain
- openai
Agentic AI Framework for Java Developers
- artificial-intelligence
- java
- spring-ai
- agentic
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
- ai
- genkit
- vector-database
- embedders
Large Action Model framework to develop AI Web Agents
Build distributed, production-grade, long-running agents.
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
- autonomous-agents
- language-model
- llm
The Open Framework for Building Agents
- agent
- framework
- harness
- javascript
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
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
- agentframework
- agentic-ai
- agents
- ai
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
- agentic-ai
- generative-ai
- java
- kotlin
A Python library for building AI agents that leverage the full power of Google Antigravity.
- ai-agents
- antigravity
- gemini
- gemini-api
Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.
Self hosted, real-time digital human agent platform. Build voice-first AI agents with WebRTC, persona memory, tools, RAG, and optional digital-human video.
- ai-agents
- ai-companion
- digital-human
- digital-life
🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.
- elixir
- workflow
- event-driven-architecture
- orchestration
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
- multi-agent-system
- agent-framework
- agentic-workflows
- ai-agent
The complete toolkit for building AI agents in JavaScript. Lightweight core, React & Terminal UIs, autonomous runtime, tools, skills, memory, RAG and observability. Plug-and-play from chat UI to full agents.
Anahata ASI - Artificial Super Intelligence - Cross-Platform, Modular, Enterprise Ready, Open Source, Pure Java, AGI and ASI Containers. Context Window Garbage Collector, Stateful Toolkits, Flight Recorder. Autonomous Observable Auditable JVM Agent with JIT java code execution. Anahata ASI SDK, Anahata ASI Desktop, Anahata ASI Studio - NetBeans.
Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.