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- 0.867score
Agent2Agent Protocol (A2A)
Created by Google; contributed to the Linux Foundation
Open protocol for agents built on different frameworks and vendors to discover each other and collaborate on tasks.
ReferenceAFreshness: A★ 26.3K - 0.845score
AG-UI (Agent-User Interaction Protocol)
Originated at CopilotKit with LangChain and CrewAI as early partners
Event-based protocol that streams agent state, messages and tool calls between an agent backend and a user-facing app.
ReferenceAFreshness: A★ 16.8K - 0.825score
Agent Skills
Originally developed by Anthropic, released as an open standard
Open folder format (a SKILL.md plus optional scripts and files) for packaging instructions an agent loads on demand.
ReferenceBFreshness: B★ 26.6K - 0.819score
x402
Started at Coinbase; now stewarded by the x402 Foundation
Open payment standard that uses the HTTP 402 status code so clients, including agents, can pay per request.
ReferenceAFreshness: A★ 6.8K - 0.809score
AGENTS.md
Contributed by OpenAI
Plain Markdown file at a repository root that tells coding agents how to build, test and work in the project.
ReferenceBFreshness: B★ 25.1K - 0.803score
Agent Client Protocol (ACP)
Created by Zed Industries
JSON-RPC protocol that lets any code editor run any coding agent, locally over stdio or remotely over HTTP.
ReferenceAFreshness: A★ 4.5K - 0.795score
Universal Commerce Protocol (UCP)
Google, developed with Shopify, Etsy, Wayfair, Target and Walmart
Open standard for agentic commerce covering discovery, checkout and post-purchase between platforms, agents and businesses.
ReferenceAFreshness: A★ 3.4K - 0.782score
OSWorld-Verified
XLANG Lab
Revised version of OSWorld, a benchmark of open-ended tasks on real desktop operating systems for computer-use agents.
ReferenceAFreshness: A★ 3.2K - 0.764score
SWE-bench Verified
SWE-bench team, created with OpenAI Preparedness
Human-validated set of 500 real GitHub issues from Python repositories for testing coding agents.
ReferenceBFreshness: B★ 6.1K - 0.762score
τ²-bench (tau-bench)
Sierra
Simulated customer-service benchmark where an agent follows domain policies and uses tools while a simulated user also acts.
ReferenceAFreshness: A★ 2.3K - 0.723score
Terminal-Bench
Stanford and Laude Institute, with Harbor
Benchmark of hard, realistic command-line tasks that agents must complete inside a terminal sandbox.
ReferenceAFreshness: A★ 966 - 0.719score
llms.txt
Proposed by Jeremy Howard
Proposal for a Markdown /llms.txt file that gives language models a short, curated map of a website's content.
ReferenceBFreshness: B★ 2.7K - 0.701score
MCP-Universe
Salesforce AI Research
Benchmark and framework that tests models and agents on tasks using real-world MCP servers.
ReferenceAFreshness: A★ 602 - 0.697score
Humanity's Last Exam (HLE)
Center for AI Safety and Scale AI
2,500 expert-written, closed-ended questions across dozens of academic subjects, including multimodal items.
ReferenceBFreshness: B★ 1.7K - 0.689score
OpenTelemetry GenAI semantic conventions
OpenTelemetry GenAI SIG
OpenTelemetry attribute names and signal shapes for tracing LLM calls, agents, tool execution and MCP operations.
ReferenceAFreshness: A★ 481 - 0.683score
Berkeley Function Calling Leaderboard (BFCL)
Gorilla project, UC Berkeley
Leaderboard that tests how accurately models call functions and tools, from single calls to multi-turn agentic use.
ReferenceDFreshness: D★ 13.1K - 0.682score
Agent Payments Protocol (AP2)
Created by Google
Open protocol for agent-initiated payments, built as an extension to A2A and MCP, with signed user mandates.
ReferenceCFreshness: C★ 3.2K - 0.673score
Open Agent Specification (Agent Spec)
Oracle
Framework-neutral configuration language for describing agents and flows so they can be serialized and run on different runtimes.
ReferenceAFreshness: A★ 445 - 0.649score
SWE-Bench Pro
Scale AI
Harder, long-horizon software engineering tasks from public and proprietary codebases, with a held-out set.
ReferenceBFreshness: B★ 552 - 0.632score
Agentic Commerce Protocol (ACP)
OpenAI and Stripe
Open checkout standard from OpenAI and Stripe for buyers and AI agents to complete purchases with businesses.
ReferenceCFreshness: C★ 1.6K - 0.611score
Agent Network Protocol (ANP)
Agent Network Protocol (ANP)
Open protocol suite for agent identity, discovery and messaging on the open web, built on W3C DIDs.
ReferenceAFreshness: A★ 1.5K - 0.587score
BrowseComp
OpenAI
1,266 hard-to-find questions with short answers for testing how persistently agents can search the web.
ReferenceDFreshness: D★ 4.7K - 0.581score
MCPMark
EVAL SYS, with LobeHub and NUS TRAIL
Stress test for realistic MCP use across Notion, GitHub, filesystem, PostgreSQL and Playwright servers.
ReferenceCFreshness: C★ 467 - 0.577score
WebArena
Carnegie Mellon University researchers
Self-hosted web environment with realistic sites (shopping, forums, code hosting, maps) for testing web agents.
ReferenceDFreshness: D★ 1.6K