What this groups
Frameworks and building blocks
These entries focus on agent workflows, orchestration, tools, memory, observability, realtime agents, and integration surfaces.
Theme
AI Resources
AI agent frameworks to compare
A focused LifeHubber front door for agent frameworks and nearby building blocks already listed in AI Resources.
Use it to narrow the map, then open each LifeHubber overview and original source before relying on claims, setup paths, limits, or terms.
How to read it
Compare the shape of the stack
Check whether a project is a full framework, a UI layer, a tool/auth layer, or a hosted workflow platform before treating it as interchangeable.
Caveat
Source first
LifeHubber is helping readers inspect the field. It is not saying these projects are suitable, safe, stable, or production-ready for a specific use.
Discovery reference
Last updated: June 9, 2026.
Use this page as a starting point for inspection, not as an endorsement, recommendation, guarantee, or safety review. Open the source materials before relying on details such as setup, terms, limits, privacy, access, or costs.
Curated from AI Resources
Projects to inspect at the source
12Microsoft Agent Framework
microsoft/agent-framework
A Microsoft framework for building AI agents and multi-agent workflows across Python and .NET, with agents, graph workflows, middleware, MCP integrations, context providers, observability, and provider choices.
OpenAI Agents SDK
openai/openai-agents-python
A lightweight framework for multi-agent workflows, with tools, handoffs, guardrails, sessions, tracing, sandbox agents, and realtime voice support.
Mastra
mastra-ai/mastra
A TypeScript framework for building AI agents and applications with model routing, workflows, human-in-the-loop steps, memory, tools, MCP servers, evals, and observability.
Koog
JetBrains/koog
A JetBrains Kotlin and Java framework for building AI agents with tools, graph workflows, memory, RAG, MCP, A2A, Agent Client Protocol, tracing, Spring Boot, Ktor, and multiple LLM providers.
AG2
ag2ai/ag2
A Python framework for AI agents and multi-agent workflows, with conversable agents, orchestration patterns, tools, human-in-the-loop flows, code execution options, structured outputs, and an active v1.0 transition note.
AgentScope
agentscope-ai/agentscope
An agent framework with core abstractions, visibility tooling, and built-in support for fine-tuning workflows.
LiveKit Agents
livekit/agents
A realtime framework for voice, video, and physical AI agents, with Python and Node.js paths, LiveKit room participants, WebRTC clients, telephony support, tools, testing, and deployment options.
Pipecat
pipecat-ai/pipecat
A Python framework and ecosystem for real-time voice and multimodal AI agents, with audio/video pipelines, transports, client SDKs, structured flows, and subagent support.
CopilotKit
CopilotKit/CopilotKit
A frontend stack for building agent-native applications with chat UI, generative UI, shared state, backend tool rendering, human-in-the-loop workflows, and React or Angular app paths.
Dify
langgenius/dify
A visual platform for building agentic workflows and AI applications with workflow and chatflow builders, model-provider connections, RAG pipelines, tools, APIs, logs, and cloud or self-hosted paths.
Composio
ComposioHQ/composio
An agent tool-integration layer with Python and TypeScript SDKs, toolkits, authentication, sessions, triggers, tool search, and workbench features for connecting agents to external services.
Nango
NangoHQ/nango
An agent and product integration platform for auth, OAuth, API proxying, TypeScript functions, MCP tool calling, observability, and external API access.
Also in AI
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Keep the thread going with AI Guides for decision habits for messy AI choices, AI Access for free and low-cost ways to compare AI model access, AI Ballot for a clearer view of what readers are leaning toward.