Agent Switchboard

OpenAgents vs Spring AI Alibaba vs A2A Protocol

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

OpenAgents vs Spring AI Alibaba vs A2A Protocol, side by side
OpenAgentsby OpenAgentsRemove OpenAgents from this comparisonSpring AI Alibababy AlibabaRemove Spring AI Alibaba from this comparisonA2A Protocolby A2A Project (Linux Foundation)Remove A2A Protocol from this comparison
Sets it apart
  • Only one with a CLI
  • Newest listing (added Sep 2, 2026)
  • Only one with an MCP server
  • Official Alibaba listing
  • Most skills (5)
  • Sends push notifications
What it isRuns a collaboration workspace where agents delegate to each other by mention, reachable through Python and TypeScript SDKs, a CLI connector, and an A2A endpoint.Builds agentic, workflow and multi-agent applications in Java and Spring Boot on a graph runtime for stateful agents, with A2A communication, tool calling and MCP support.Defines the Agent2Agent interoperability protocol and SDKs so agents built on different frameworks discover each other, negotiate capabilities, and exchange tasks.
ProviderOpenAgentsAlibabaA2A Project (Linux Foundation)
Official vendorNot an official listingAlibabaNot an official listing
VerifiedYesSame for all
AccessAPI, CLIAPI, MCPAPI
AuthAPI KeyAPI KeyOAuth 2.0
MCP serverNo MCP serverIn its setup guideNo MCP server
CLI installIn its docsNo CLINo CLI
API base URLIn its docsSame for all
SkillsMention Delegation, A2A Endpoint, CLI ConnectorMulti-Agent Patterns, Graph-Based Workflows, Context Engineering Hooks, A2A Coordination, Realtime Voice AgentAgent Discovery, Task Exchange, Streaming and Push Updates
StreamingYesSame for all
Push notificationsNoNoYes
CategoriesOrchestration, Communication & MessagingOrchestration, Code & DevToolsOrchestration, Infrastructure & Ops
Tagsagent-collaboration, a2a-protocol, mention-delegation, desktop-launcher, multi-agent-workspace, self-hostedjava, spring-boot, multi-agent-patterns, graph-workflow, a2a-protocol, dashscope, human-in-the-loop, context-engineeringagent-interoperability, protocol, agent-cards, task-delegation, linux-foundation, multi-agent, open-standard
Listed sinceSep 2, 2026Aug 1, 2026Aug 15, 2026
Use it now

Share this comparison

https://agentswitchboard.dev/compare?a=openagents&b=spring-ai-alibaba&c=a2a-protocol

More comparisons · 13

  • GitHub Copilot vs Cursor vs Codeium / Windsurf

    Three AI coding assistants, each an official listing. Cursor and Windsurf are editors with multi-file edits and autonomous coding; GitHub Copilot is a pair programmer with an agent mode.

  • LangGraph vs CrewAI vs AutoGen

    Frameworks for multi-agent systems. LangGraph builds stateful graph workflows, CrewAI teams of agents that delegate, and AutoGen conversational and human-in-the-loop agents in Python and TypeScript.

  • Mem0 vs Zep vs Letta

    Three ways to give agents long-term memory. Mem0 and Zep are memory layers your agent calls; Letta is a stateful agent framework with memory built in. Mem0 also has an MCP server.

  • Pinecone vs Qdrant vs Weaviate

    Vector databases for RAG and semantic search. Pinecone is fully managed; Qdrant and Weaviate are open source. Beyond the API, Qdrant has a CLI and Weaviate an MCP server.

  • Browserbase vs Browser Use vs Browserless

    Browsers for AI agents. Browserbase and Browserless run headless browsers you drive with Playwright or Puppeteer; Browser Use is an open-source Python library that controls websites from natural-language instructions.

  • E2B vs Daytona vs Vercel Sandbox

    Sandboxes where agents run untrusted code, each with an API and a CLI. E2B runs Python, JS and shell; Daytona provisions dev environments with git; Vercel Sandbox uses Firecracker microVMs.

  • Firecrawl vs Crawl4AI vs Jina Reader

    All three turn web pages into clean Markdown for LLMs. Firecrawl and Jina Reader take an API key; Crawl4AI needs no auth and adds deep crawling and browser session control.

  • Figma MCP Server vs Figma Context MCP vs Talk to Figma MCP

    MCP servers that bring Figma designs to coding agents. Figma's own server can also write back to the canvas; Framelink's reads layout and styles; Grab's edits nodes through a Figma plugin.

  • Ollama vs LM Studio vs vLLM

    Run open models on your own hardware behind an OpenAI-compatible API, with no auth. Ollama and LM Studio run models locally; vLLM is a high-throughput inference server.

  • Asana MCP vs ClickUp MCP vs monday.com MCP

    Official project-management MCP servers, all hosted with OAuth sign-in. monday.com also has a local npm package and its GraphQL API; ClickUp's is in public beta with no deletion tools.

  • Groq vs Cerebras Inference

    Fast inference APIs for open models, both OpenAI-compatible with streaming. Groq runs on its own LPU hardware; Cerebras serves models such as Qwen and GPT OSS on wafer-scale chips.

  • Deepgram vs AssemblyAI

    Speech-to-text APIs with real-time streaming. Deepgram adds text-to-speech for voice agents and a CLI; AssemblyAI adds audio intelligence such as summarization and redaction.

  • Neon MCP vs PlanetScale MCP

    MCP servers for managed SQL databases with branching. Neon's manages serverless Postgres with an API key; PlanetScale's signs in with OAuth and covers Vitess and Postgres.

/compare?a=openagents&b=spring-ai-alibaba&c=a2a-protocol
3 listings side by side · "same" marks a row every column shares
listings
openagentsapi+cliOnly one with a CLI; Newest listing (added Sep 2, 2026)spring-ai-alibabaapi+mcpOnly one with an MCP server; Official Alibaba listing; Most skills (5)a2a-protocolapiSends push notifications
rows
descriptionRuns a collaboration workspace where agents delegate to each other by mention, reachable through Python and TypeScript SDKs, a CLI connector, and an A2A endpoint. | Builds agentic, workflow and multi-agent applications in Java and Spring Boot on a graph runtime for stateful agents, with A2A communication, tool calling and MCP support. | Defines the Agent2Agent interoperability protocol and SDKs so agents built on different frameworks discover each other, negotiate capabilities, and exchange tasks.
providerOpenAgents | Alibaba | A2A Project (Linux Foundation)
officialNot an official listing | Alibaba | Not an official listing
verified (same)Yes
accessAPI, CLI | API, MCP | API
authAPI Key | API Key | OAuth 2.0
mcpNo MCP server | In its setup guide | No MCP server
cliIn its docs | No CLI | No CLI
api (same)In its docs
skillsMention Delegation, A2A Endpoint, CLI Connector | Multi-Agent Patterns, Graph-Based Workflows, Context Engineering Hooks, A2A Coordination, Realtime Voice Agent | Agent Discovery, Task Exchange, Streaming and Push Updates
streaming (same)Yes
pushNo | No | Yes
categoriesOrchestration, Communication & Messaging | Orchestration, Code & DevTools | Orchestration, Infrastructure & Ops
tagsagent-collaboration, a2a-protocol, mention-delegation, desktop-launcher, multi-agent-workspace, self-hosted | java, spring-boot, multi-agent-patterns, graph-workflow, a2a-protocol, dashscope, human-in-the-loop, context-engineering | agent-interoperability, protocol, agent-cards, task-delegation, linux-foundation, multi-agent, open-standard
addedSep 2, 2026 | Aug 1, 2026 | Aug 15, 2026
comparisons
/compare/github-copilot-vs-cursor-vs-codeium-windsurf3 listings/compare/langgraph-vs-crewai-vs-autogen3 listings/compare/mem0-vs-zep-vs-letta3 listings/compare/pinecone-vs-qdrant-vs-weaviate3 listings/compare/browserbase-vs-browser-use-vs-browserless3 listings/compare/e2b-vs-daytona-vs-vercel-sandbox3 listings/compare/firecrawl-vs-crawl4ai-vs-jina-reader3 listings/compare/figma-mcp-server-vs-figma-context-mcp-vs-talk-to-figma-mcp3 listings/compare/ollama-vs-lm-studio-vs-vllm3 listings/compare/asana-mcp-vs-clickup-mcp-vs-monday-mcp3 listings/compare/groq-vs-cerebras-inference2 listings/compare/deepgram-vs-assemblyai2 listings/compare/neon-mcp-vs-planetscale-mcp2 listings