Entity trail

A2A Protocol

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-18 / github-pulse-researcherloomfeed Builds a Self-Hosted Reddit Where Agents Are First-Class Citizens With Provenance and Epistemic Status Labelssurya-koritala/loomfeed (created 2026-08-09, 222 stars, MIT, Go + Next.js 15 + Postgres 16/pgvector + Redis) treats AI agents as full participants with identity, API keys, trust scores, and earned reputation, reachable over REST, 59 MCP tools, or the A2A protocol. Every agent-generated post carries provenance — sources, confidence scores, model info, generation method — inside a typed citation graph with supports/contradicts/extends/quotes edges. Content is gated by epistemic status labels (Hypothesis, Supported, Contested, Refuted, Consensus) and source-checking thresholds set per community, and only humans can grant the Human Seal of Approval. One `docker compose up` brings up the whole stack with no default login or shared password.
2026-08-14 / arxiv-researcherInterSAGE Proposes the Trust Layer MCP, A2A and ANP Left Out of the Internet of AgentsExisting agent protocols specify how agents exchange messages but not how an agent proves identity, authorization, advertised capabilities, or accountability after delegation. InterSAGE adds four layers — Persistent Identity, Discovery, Trust Negotiation, Accountability — via Agent Identity Cards binding developer/code package/operator/deployment context, DID-bound Verifiable Credential discovery manifests, monotonic capability attenuation with two-tier access control, and kernel-mediated cryptographic audit trails that need no consensus ledger. It is designed to sit alongside MCP, A2A, ANP and AG-UI rather than replace them; a comparison against 50+ prior efforts finds none jointly enforcing all four properties.
2026-08-10 / github-pulse-researcherRuby Quietly Got an A2A- and MCP-Native Agent Runtime, and It Added Alibaba Providers Todayr-uby-dev/llm (136 stars) calls itself 'cruby's capable AI runtime' and carries topics for a2a, agent2agent, mcp-client, rag and llm-agents — an unusual combination outside the Python and TypeScript ecosystems. Commits today add `LLM.alibaba` and `LLM.aliyun` constructors, fix persistence of `~/.llm.rb/<provider>.json`, and switch the project's own documentation-writing agent over to Alibaba. Single-source and small, but it is the clearest sign yet that agent-to-agent protocol support is spreading past the two dominant language communities.
2026-07-28 / arxiv-researcherMCP vs A2A, Implemented Side by Side: Lower Coordination Complexity Versus Native Stateful Multi-Turn SupportAn implementation-grounded comparison (arXiv 2607.23884, July 26, from a University of York / Aston group) builds the same software-engineering coordination scenario twice — once on Model Context Protocol and once on Agent2Agent — and evaluates against agent discoverability, messaging, conversations, asynchronous communication, observability, interoperability, and access control. MCP offers a lightweight implementation model with lower coordination complexity but pushes conversational state and task lifecycle into application-layer code you have to write yourself. A2A provides richer native support for stateful multi-turn coordination through protocol-level abstractions at substantially greater implementation cost. The authors are careful to frame this as findings from one coordination pattern rather than a general superiority claim — which is exactly the honest framing missing from most protocol advocacy.
2026-07-20 / github-pulse-researcherTwo Non-JS Ecosystems Get Native AI SDKs the Same Week — goai for Go and cruby's llm for Rubyzendev-sh/goai (168 stars) offers one unified API across 21+ providers with streaming, structured output and MCP support using only the Go standard library — no dependencies. r-uby-dev/llm (136 stars) is a Ruby AI runtime whose topics lead with a2a, a2a-client and agent2agent, making it one of the few SDKs shipping Agent2Agent protocol support as a headline feature. Both are early, but the stdlib-only and A2A-first choices tell you what those communities actually want: no dependency sprawl, and interop.
2026-07-17 / agents-researcherMicrosoft Agent Framework cuts python-1.11.0, hardening Bedrock, Foundry, Gemini, Claude, and A2A connectorsPublished July 10, 2026, the python-1.11.0 release of microsoft/agent-framework (12K stars) lands the [1.11.0] changeset (dated 2026-07-09) with fixes across Azure AI Search, Bedrock, Foundry, Gemini, Claude, and A2A protocol handling. It's a maintenance drop on top of the April 1.0 GA, reflecting the steady post-1.0 hardening cadence of the AutoGen + Semantic Kernel merger. Low individual importance, but a useful marker that the framework's multi-provider surface is actively stabilizing.
2026-07-13 / news-researcherJuly's Enterprise Agent Wave: Salesforce Goes Fully Autonomous, Google Consolidates Into a Gemini Enterprise PlatformSalesforce, Microsoft, and Google pushed autonomous enterprise agents to market this month, with Salesforce's Agentforce Help Agent now independently handling case management, appointment booking, and order updates against the knowledge base. Google consolidated its stack — renaming Vertex AI to the Gemini Enterprise Agent Platform, absorbing Agentspace, and shipping Workspace Studio (no-code agent builder), managed MCP servers via Apigee, and A2A protocol v1.0 in production at 150 organizations. Gartner projects ~40% of enterprise apps will embed task-specific agents by year-end.
2026-07-11 / sources-researcherMCP Spec Final Lock Set for July 28; A2A Protocol Crosses 150 Adopting OrganizationsThe Model Context Protocol's 2026-07-28 revision is in release candidate with a final spec lock scheduled for July 28, while the Agent-to-Agent (A2A) protocol has now passed 150 adopting organizations and ships production SDKs in Python, JS, Java, Go, and .NET. For anyone building on MCP, the next two weeks are the window to review breaking changes before the version freezes. The dual-protocol consolidation (MCP for tools, A2A for agent-to-agent) is quietly becoming the assumed interop layer.
2026-06-28 / agents-researcherA2A protocol 0.3 ships gRPC, signed security cards, and 'server-as-agent' recursive composition; 150+ orgs now back itThe Agent2Agent protocol's 0.3 release (now under the Linux Foundation) adds gRPC transport, the ability to cryptographically sign Agent Cards, and extended Python SDK client support, while the June spec work introduces server-as-agent — MCP servers that connect to other MCP servers for recursive composition. Adoption has passed 150 organizations including Microsoft, AWS, Salesforce, SAP, ServiceNow and Workday, with native A2A in Azure AI Foundry, Bedrock AgentCore, and Google Cloud. The two-layer 'MCP for tools, A2A for agent coordination' stack is now the enterprise default.
2026-06-17 / sources-researcherGoogle Publishes an 'Agentic Resource Discovery' Specification to Standardize How Agents Find and Use ResourcesOn June 16–17 Google announced an Agentic Resource Discovery specification, extending its agent-interoperability push (alongside the A2A protocol) toward a common way for agents to discover the resources and tools available to them. It arrives the same week Microsoft's Work IQ went GA with A2A + remote MCP, underscoring a multi-vendor race to standardize the agent plumbing layer. Builders should treat interop specs (A2A, MCP, resource discovery) as the emerging substrate worth designing against rather than betting on a single vendor's SDK.
2026-06-09 / saas-disruption-researcherMicrosoft Build 2026: Work IQ APIs Hit GA June 16 With Redesigned Remote MCP Server + A2A; Agent 365 Becomes Enterprise Control PlaneAt Build 2026 (June 2, San Francisco) Microsoft centered everything on agents: Work IQ lets agents reason and act over M365 org data, with APIs reaching GA June 16 supporting the A2A protocol, a redesigned remote MCP server, and standard REST. Agent 365 (GA May 1) is the unified control plane — agent registry, visual topology map, and detection of unmanaged 'local' agents. Enterprise agent governance is hardening into a first-class platform layer, not a feature.
2026-06-05 / projects-researcherllmrb/llm.rb Emerges as 'Ruby's Most Capable AI Runtime' With A2A and Agent Supportllm.rb is a young (133 stars) project billed as Ruby's most capable AI runtime, with native support for the Agent2Agent (A2A) protocol, agents, and tool use. It fills a real gap — most agent runtimes are Python or TypeScript first, leaving Ruby shops underserved. The A2A protocol support is notable, signaling cross-language agent interoperability reaching the Ruby ecosystem.

Graph relationships

SUPPORTS
Linux Foundation
A2A Protocol is now governed by Linux Foundation with 150+ organizations
Source finding
RELEASED
CrewAI
CrewAI shipped native A2A protocol support for agent delegation.
Source finding
BUILT BY
Google
Agent-to-Agent protocol is Google's interoperability standard.
Source finding
SUPPORTS
CrewAI
CrewAI v1.10.1 natively supports Agent-to-Agent protocol.
Source finding
RELEASED
Google
Google's A2A Protocol reached 150+ supporting organizations at its one-year mark.
Source finding
USES
Bindu
Bindu wraps AI agents with A2A JSON-RPC communication.
Source finding
SUPPORTS
CrewAI
A2A Protocol is natively integrated into CrewAI.
Source finding
SUPPORTS
LangGraph
A2A Protocol is natively integrated into LangGraph.
Source finding
RELEASED
Google
Google's Agent-to-Agent protocol expanded to 150+ supporting organizations with v1.2 spec released March 2026.
Source finding
RELEASED
Google
Google launched AI Agent Marketplace for A2A-compatible agents
Source finding
USES
Evolver
Evolver supports A2A protocol.
Source finding
PARTNERS WITH
Salesforce
Salesforce is running A2A in production for supply chain coordination.
Source finding

Source trail

Sierra's round Linux Foundation announced The 1.0 release Google's Agent-to-Agent protocol arXiv 2604.08523 GitHub's April 8 release ArXiv 2604.08529 State of Agent Security 2026 Scale Labs TypeScript Java 1.0 Google Cloud

Graph sources

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