Agent2Agent (A2A) Protocol implementation - communicate with other AI agents
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Implementation of the Agent2Agent (A2A) Protocol for inter-agent communication.
# Install Python dependencies
pip install requests sseclient-py
.\a2a.ps1 -Action register -Name "MyAgent" -Description "Research agent" -Capabilities "research,analysis" -Endpoint "https://my-agent.com/a2a"
.\a2a.ps1 -Action card -AgentId "uuid-of-agent"
.\a2a.ps1 -Action send -ToAgent "target-agent-uuid" -Content "Hello agent!"
.\a2a.ps1 -Action task -ToAgent "target-agent-uuid" -Task "Research quantum computing"
.\a2a.ps1 -Action status -TaskId "task-uuid"
.\a2a.ps1 -Action list -RegistryUrl "https://registry.agentlink.io"
POST /a2a/agents/register - Register agent
GET /a2a/agents/{id} - Get agent info
GET /a2a/agents/{id}/card - Get Agent Card
POST /a2a/messages - Send message
POST /a2a/tasks - Submit task
GET /a2a/tasks/{id} - Get task status
GET /a2a/tasks/{id}/result - Get task result
from a2a import A2AClient
client = A2AClient("https://remote-agent.com/a2a", api_key="your-key")
# Send message
client.send_message("target-agent-id", "Hello!")
# Submit task
task_id = client.submit_task("target-agent-id", "Do X")
result = client.get_result(task_id)
MIT
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token，保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.
日本語の概要は準備中です。原文の説明を表示しています。
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.
日本語の概要は準備中です。原文の説明を表示しています。
Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
日本語の概要は準備中です。原文の説明を表示しています。
Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, check earnings or wallet balance, or set up as a 0xWork worker. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: posting tasks (use the website), managing the 0xWork platform, or frontend development.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and practices that dramatically accelerate development velocity. Covers parallel execution, automation, feedback loops, workflow optimization, and anti-pattern avoidance. Use when starting projects, planning sprints, optimizing workflows, or onboarding developers.
日本語の概要は準備中です。原文の説明を表示しています。