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Use Case
Multi-agent systems need a shared tool layer, agent-to-agent communication, and persistent memory. Jarvis SDK provides the A2A protocol for agent discovery, cross-session memory, workflow orchestration, and a shared module catalog that any agent on any framework can access.
agent.json discovery, task delegation, status sync
Agents discover and delegate work to each other via Google's A2A protocol
store, search, recall
Persistent cross-session memory so agents remember context between runs
execute, status, retry
Orchestrate multi-step workflows across multiple agents
self-equip by mission
Each agent equips its own toolkit based on its current task
tool discovery, execution
Claude, Cursor, and other MCP clients discover tools natively
compose, share, rate
Agents compose and share reusable skill patterns
Coordinator agent discovers specialist agents via /.well-known/agent.json
Send tasks to specialists via A2A protocol with structured payloads
Each specialist self-equips via /api/v1/agent/arm for its subtask
Specialists execute in parallel using the shared module catalog
Coordinator collects results, stores in shared memory, returns final output
// Coordinator: discover agents and delegate
const agentCard = await fetch("https://jarvissdk.com/.well-known/agent.json");
// Delegate task via A2A protocol
const task = await fetch("https://jarvissdk.com/api/v1/a2a", {
method: "POST",
headers: { "x-api-key": process.env.JARVIS_API_KEY, "Content-Type": "application/json" },
body: JSON.stringify({
jsonrpc: "2.0",
method: "tasks/send",
params: {
task: { description: "Analyze Q4 revenue data and generate report" },
artifacts: [{ data: revenueData }]
}
})
});
// Store result in shared memory
await fetch("https://jarvissdk.com/api/v1/memory", {
method: "POST",
headers: { "x-api-key": process.env.JARVIS_API_KEY, "Content-Type": "application/json" },
body: JSON.stringify({ key: "q4-report", value: task.result, ttl: 86400 })
});A2A protocol enables cross-framework agent communication — CrewAI, LangChain, AutoGen all work
Shared module catalog means all agents access the same trusted tools
Cross-session memory persists context between agent runs
Workflow engine handles retries, parallel execution, and error recovery
Trust scoring ensures agents only use certified, reliable modules
Yes — A2A is Google's open protocol. Any agent that speaks HTTP can discover and communicate with Jarvis SDK agents. CrewAI, LangChain, AutoGen, and custom agents all work.
The /api/v1/memory endpoint stores key-value pairs scoped to your tenant. Agents can store context in one session and recall it in another. Memory supports search, TTL, and namespacing.
Yes — Jarvis SDK is a cloud API. Your agents can run anywhere and coordinate through the shared API. The A2A protocol handles discovery and task delegation.
Every module in the catalog has a trust score based on test coverage, execution history, and certification status. Agents can filter modules by trust score to ensure reliability.
700+ modules. 5 discovery protocols. Free to start.