“Ollama”

Rails framework for building AI agents as controllers, with provider gems for OpenAI, Anthropic, Ollama and more.

OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.

Open-source Firebase framework for AI features and agent workflows in JavaScript, Go, Python and Dart, with model plugins.

Small Python library whose agents write their actions as code, with sandboxed execution and tools from MCP servers, LangChain or the Hub.

Go framework for LLM applications with chat-model agents, multi-agent coordination, graph workflows and human-in-the-loop resume.

Java application framework from the Spring project with portable chat and embedding APIs, tool calling and vector stores.

Kotlin and Java framework for AI agents with tools, graph workflows, MCP, streaming and multiplatform targets.

Ruby AI framework with one API for chat, tools, agents, streaming, embeddings and Rails integration across many providers.

CLI-first Python agent framework and coding agent with MCP, A2A and Agent Skills support, live streaming and human input.

Quarkus extensions that connect LangChain4j to Quarkus apps, with declarative AI services and LLM, tool and embedding support.

Model-agnostic SDK for building agents and multi-agent systems in Python, .NET and Java; Microsoft names Agent Framework as its successor.

Open-source LLM function calling framework for AI agents, with serverless LLM tools and geo-distributed infrastructure.

PHP library for generative AI and vector databases, compatible with Symfony and Laravel, with typed classification.

Reliability layer for tool calling with self-hosted LLMs, offered as a proxy, a workflow runner and middleware.

Python library of 35 agentic AI architectures with one run() interface, built on LangGraph and multiple LLM providers.

Python framework for multi-agent teams and workflows, with a CLI and Docker, MCP and A2A deployment options.

Python and TypeScript framework for multi-agent systems, with MCP and A2A interop, YAML orchestration and OpenTelemetry tracing.

Typed Python toolkit for composing classic and agentic retrieval-augmented generation pipelines with pluggable LLMs and stores.

Opinionated agent harness on LangGraph with sub-agents, filesystem access, context management, persistent memory and approval of tool calls.

Typed Python SDK for building agents with swappable model providers, plus optional capabilities for memory, sub-agents, planning and durable execution.

Open-source toolkit for building, evaluating and deploying agents in Python, TypeScript, Go, Java and Kotlin, tuned for Gemini but model-agnostic.

Open-source framework that routes each user query to one of several AI agents, with Python, TypeScript and Swift runtimes.

Low-code Python framework for YAML-defined agents and multi-agent Cogs, with personas, prompt templates and memory nodes.

Python framework for LLM applications built on Qwen models, with function calling, MCP, a code interpreter and RAG options.