From db372427049628edb9bb6236b8af449ad7c9e3bf Mon Sep 17 00:00:00 2001 From: Northramp Bot Date: Sat, 7 Mar 2026 07:44:09 -0600 Subject: [PATCH] docs: reorder 2026 examples most-recent-first MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Move A2A Real Estate (March 2026) above AgentCore Memory Agent (February 2026). Also remove NEW badge from AgentCore Memory Agent now that A2A is the latest. Order: A2A Realestate (Mar) → AgentCore Memory (Feb) → Cost Optimizer (Feb) → WebMCP (Feb) → OpenClaw (Feb) → Google ADK A2A (Jan) --- README.md | 44 ++++++++++++++++++++++---------------------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index 3aeea98..87c78f2 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,28 @@ Real-world agents you can clone and run. Most recent first. ### 2026 -#### [AgentCore Memory Agent + BMasterAI Telemetry](examples/agentcore-memory-agent/) `NEW` +#### [A2A Real Estate Multi-Agent — AgentCore Edition](examples/a2a-realestate-agentcore/) `NEW` +*March 2026* + +A BMasterAI adaptation of the [AWS Labs A2A Real Estate sample](https://github.com/awslabs/amazon-bedrock-agentcore-samples/tree/main/02-use-cases/A2A-realestate-agentcore-multiagents). Three Strands agents — Property Search, Property Booking, and a Coordinator — communicate over the A2A (Agent-to-Agent) protocol, with every tool call and A2A hop instrumented via BMasterAI structured telemetry. + +**Stack:** AWS Bedrock AgentCore, Strands, A2A Protocol, OAuth 2.0 (Cognito), BMasterAI + +**What it demonstrates:** +- Multi-agent orchestration with the A2A protocol: coordinator delegates to specialized sub-agents at runtime +- BMasterAI telemetry replacing custom loggers: `TOOL_USE`, `TASK_COMPLETE`, `TASK_ERROR` on every operation across all three agents +- Bearer token forwarding from AgentCore Runtime context to sub-agent A2A calls +- Local REPL mode for development + `BedrockAgentCoreApp` path for serverless deployment + +```bash +# Start all three agents locally + interactive REPL +pip install -r realestate_coordinator/requirements.txt +python run_local.py +``` + +--- + +#### [AgentCore Memory Agent + BMasterAI Telemetry](examples/agentcore-memory-agent/) *February 2026* A Telegram bot with persistent memory built on AWS Bedrock AgentCore — fully instrumented with BMasterAI structured telemetry. The agent remembers past conversations, learns user preferences across sessions, and can execute bash commands, search the web, and send files. No Mac mini, no local server — just AWS and a Telegram message. @@ -51,27 +72,6 @@ pip install -r requirements.txt --- -#### [A2A Real Estate Multi-Agent — AgentCore Edition](examples/a2a-realestate-agentcore/) `NEW` -*March 2026* - -A BMasterAI adaptation of the [AWS Labs A2A Real Estate sample](https://github.com/awslabs/amazon-bedrock-agentcore-samples/tree/main/02-use-cases/A2A-realestate-agentcore-multiagents). Three Strands agents — Property Search, Property Booking, and a Coordinator — communicate over the A2A (Agent-to-Agent) protocol, with every tool call and A2A hop instrumented via BMasterAI structured telemetry. - -**Stack:** AWS Bedrock AgentCore, Strands, A2A Protocol, OAuth 2.0 (Cognito), BMasterAI - -**What it demonstrates:** -- Multi-agent orchestration with the A2A protocol: coordinator delegates to specialized sub-agents at runtime -- BMasterAI telemetry replacing custom loggers: `TOOL_USE`, `TASK_COMPLETE`, `TASK_ERROR` on every operation across all three agents -- Bearer token forwarding from AgentCore Runtime context to sub-agent A2A calls -- Local REPL mode for development + `BedrockAgentCoreApp` path for serverless deployment - -```bash -# Start all three agents locally + interactive REPL -pip install -r realestate_coordinator/requirements.txt -python run_local.py -``` - ---- - #### [Amazon Bedrock AgentCore — Cost Optimization Agent](examples/amazon-bedrock-agentcore/) *February 2026*