First question
What must the agent actually do?
Separate a workflow runner from a voice agent, an app copilot, or a tool connector before comparing features.
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AI Resources
Agent projects to compare before you build
A practical map for comparing agent projects by the job they need to do, the controls they need, and what could break first.
Start with the guidance, then use the cards below to open the LifeHubber notes and original sources before trusting setup, limits, terms, pricing, or privacy details.
Failure checks
Check the breakpoints
Look for approvals, logs, permissions, retries, handoffs, costs, and what happens when a tool call or model response goes wrong.
Use the list carefully
Source first, not ranking
The cards point to LifeHubber notes and original projects. Verify licenses, setup, data handling, pricing, and current maintenance before relying on any one stack.
Last updated
June 28, 2026
Use this page as comparison guidance, not as a recommendation or safety review. Agent projects change quickly, so check the original source before relying on setup, terms, limits, privacy, access, or costs.
Build agent workflows
Workflow runners and handoffs
6Start here if your agent needs to call tools, pass work between steps, keep session state, or leave a trace you can debug later.
Microsoft 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.
Voice and realtime agents
Voice, video, and realtime rooms
2Use this group when the hard part is timing: listening, speaking, joining live rooms, handling calls, or moving audio and video without too much delay.
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.
App UI and review flows
Agents inside apps and workflows
2Use this group when people need to see, edit, approve, or steer what the agent is doing inside a product or visual workflow.
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.
Tools, auth, and integrations
Tool access, auth, and service connections
2Open this group when the agent must reach outside the model: accounts, APIs, tool catalogs, triggers, sessions, logs, or MCP-style service connections.
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.
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