✨ Control Plane for Autonomous Software

Kubernetes for AI Agents

Build and run AI like microservices - scalable, observable, and identity-aware from day one.

$ curl -sSf https://agentfield.ai/get | sh
Install:

A New Backend for a New Kind of Software

Not a toolkit. A complete backend for autonomous agents. No glue code needed.

Agents as Microservices

Every agent runs as an API with its own endpoints, schemas, and versioning — no glue code or routing setup required.

Auto-Generated Endpoints
POST/agent/execute
200
Primary
GET/agent/status
200
PUT/agent/config
200
GET/agent/metrics
200
OpenAPI 3.0

Built-in IAM and Audit

Cryptographic identity for every agent. Every action is cryptographically signed and permanently auditable.

Cryptographic Identity
Payment Agent
ID:did:key:z6Mk...4fKp
Verified
3,847Signed Transactions
Issued:2024-11-09
Tamper-Proof Audit Trail

Teams Deploy Independently

Each agent deploys independently with its own version and scaling. Automatic service discovery—no manual routing.

Independent Deployments
customer-support
v2.3.18 instances
Healthy
data-analyst
v1.7.04 instances
Healthy
content-moderator
v3.1.23 instances
Scaling
Auto-Discovery

Deploy Like Real Software

Production operations baked in. Health probes, webhooks, auto-retry, and monitoring—ready from day one.

Production-Ready
Health Probes
/health/live
200ms
/health/ready
150ms
Webhooks
on_success
Configured
on_failure
Configured
Auto-Retry
EnabledMax: 3Exp Backoff
Built-In Operations
// AUTONOMOUS_BACKEND

Write Code, Get Infrastructure

Functions become APIs. Calls create audit trails. Notes stream live to users.

Agent Cryptographic Identity & Audit Trails

Every execution generates a tamper-proof Verifiable Credential. Regulatory-compliant, offline-verifiable proof—not just logs that can be edited.

Learn more →

Live Progress Tracking (SSE)

Real-time updates stream to your frontend via Server-Sent Events. Track multi-hour workflows with ctx.workflow.progress()—no polling, no WebSockets config.

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Secure Inter-Agent Communication

A simple ctx.call triggers a secure, server-side workflow. The controlplane automatically verifies the caller's identity (DID) and records the interaction as a tamper-proof Verifiable Credential.

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Multi-Hour Autonomous Workflows

Runs for hours or days with no timeout limits—unlike Lambda or traditional frameworks. Perfect for document processing, batch analysis, or complex orchestrations.

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Parallel Multi-Agent Coordination

Three specialized agents analyze simultaneously across distributed services. Automatic discovery, routing, and load balancing—no manual orchestration required.

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Guided AI Autonomy

AI makes autonomous decisions within structured guardrails using schema validation. Not just prompts—intelligent reasoning with predictable outputs.

Learn more →
01/06
1from agentfield import Agent
2from pydantic import BaseModel
3import asyncio
4
5app = Agent(node_id="compliance-orchestrator")
6
7class ComplianceDecision(BaseModel):
8    approved: bool
9    risk_score: float
10    violations: list[str]
11
12@app.reasoner(enable_vcs=True)  # Every decision cryptographically signed
13async def review_contract(contract_id: str, jurisdiction: str) -> ComplianceDecision:
14
15    # Live progress updates via SSE (app.note → frontend)
16    app.note("Starting review...", tags=["progress"])
17
18    # Shared memory: other agents can access this context
19    await app.memory.set("active_contract", contract_id)
20
21    # Secure cross-network communication (DID-verified)
22    # Fetch latest compliance rules from the central authority
23    rules = await app.call("regulatory-authority.get_rules",
24                           jurisdiction=jurisdiction)
25
26    # Document extraction (may take 30+ min - no timeout limits)
27    app.note("Extracting text...", tags=["progress"])
28    doc = await app.call("document-processor.extract_full_text",
29                          contract_id=contract_id)
30
31    # Parallel multi-agent analysis (3 independent services)
32    app.note("⚖️ Running checks...", tags=["progress"])
33    legal, financial, ops = await asyncio.gather(
34        app.call("legal-agent.check_compliance",
35                 text=doc["text"], jurisdiction=jurisdiction),
36        app.call("financial-agent.detect_risks", text=doc["text"]),
37        app.call("ops-agent.assess_feasibility", reqs=doc["requirements"])
38    )
39
40    # AI makes autonomous decision within structured guardrails
41    decision = await app.ai(
42        system="Senior compliance officer. Approve only if ALL pass.",
43        user=f"Legal: {legal['compliant']}, Financial: {financial['risk_score']}/10, Ops: {ops['feasible']}",
44        schema=ComplianceDecision
45    )
46
47    # Event-driven: memory changes trigger downstream agents
48    status = "approved" if decision.approved else "rejected"
49    await app.memory.set("contract_status", status)
50    app.note(f"{'✅' if decision.approved else '❌'} {status.title()}", tags=[status])
51
52    return decision  # Returns with tamper-proof Verifiable Credential
53
54# This is now a production microservice:
55# POST /api/v1/execute/compliance-orchestrator.review_contract
56# With: async execution, webhooks, retries, metrics, health checks, workflow DAGs

Identity and Infrastructure, Solved

Cryptographic DIDs for trust. Zero-config deployment for scale. The foundation autonomous software needs.

Identity for Autonomous Actors

Traditional IAM identifies humans. AI agents need cryptographic identity—DIDs for authentication, VCs for authorization, verifiable credentials for every action.

Agentfield makes identity infrastructure. Every agent gets a DID at registration. Every decision generates a signed VC. Control access. Prove actions. Verify offline.

Cryptographic IAM

DIDs for identity, VCs for authorization, policy enforcement

Verifiable Provenance

Export credential chains, verify independently

1 / 2
Workflow execution visualization
Platform Comparison

Beyond Frameworks, Beyond Auth

What frameworks can't deliver and identity providers weren't built for. See how coordination, identity, deployment, infrastructure, and observability stack up.

Agent Field Advantage

Automatic coordination

Setup TimeInstant
Service Discovery & Load Balancing
Traditional
Agent Frameworks
Consul/etcd + config
Identity Frameworks
Not applicable
Agent Field
Automatic discovery
# No hardcoded URLs, no manual registry result = await app.call("other-agent.function") # Control plane discovers agent location # Load balances across instances
Cross-Agent Communication
Traditional
Agent Frameworks
REST + service mesh
Identity Frameworks
Not applicable
Agent Field
Zero-config calls
# Agent A calls Agent B (different team, different deploy) sentiment = await app.call("sentiment-agent.analyze") # Context propagates automatically # Full DAG visibility
Automatic Workflow DAGs
Traditional
Agent Frameworks
Custom tracking
Identity Frameworks
Not applicable
Agent Field
Auto-generated
# Every app.call() creates DAG edge # Parent-child relationships tracked # Visualize: which agent called which curl .../workflows/{id}/dag
Shared Memory Fabric
Traditional
Agent Frameworks
Redis + sync logic
Identity Frameworks
Not applicable
Agent Field
Zero-config state
# Agent A sets state await app.memory.set("customer_risk", 8.5) # Agent B reads it (same workflow) risk = await app.memory.get("customer_risk")
Event-Driven Coordination
Traditional
Agent Frameworks
Kafka/RabbitMQ
Identity Frameworks
Not applicable
Agent Field
Memory change events
@app.memory.on_change("customer_*_status") async def react(event): if event.value == "escalated": await app.call("alert-agent.notify")
Context Propagation
Traditional
Agent Frameworks
Pass correlation IDs
Identity Frameworks
Not applicable
Agent Field
Automatic flow
# Session/workflow IDs flow automatically # No manual header passing # Complete distributed tracing

Integration Tax

To match Agent Field's built-in capabilities, you would need to integrate and maintain:

Service MeshRedisKafkaCustom Wiring
Maintenance LoadHigh
Agent Identity & TrustSecured

Every Agent Has Cryptographic Identity

Decentralized Identity (DID)

Every agent gets a cryptographic passport

Verifiable Credentials (VC)

Every action is cryptographically signed

Tamper-Proof Audit

Export tamper-proof audit trails for compliance

Zero-Trust Architecture

Identity-based policies, not hope

// SYSTEM_CAPABILITIES

Complete Feature Set

The world's best developer experience for building autonomous agents. Zero configuration, infinite scale.

Backend

Functions → REST APIs

Instant microservices from Python functions.

@app.reasoner()
async def analyze(text: str):
    return await app.ai("Analyze", text)

# → POST /execute/agent.analyze
Backend

Auto-Routing & Discovery

Service mesh scaling without config.

# Call by name - no URLs or config
res = await app.call("analyst.summarize")

# → Control plane routes to available nodes
# → Load balances automatically
Backend

Runtime Capability Discovery

Build AI orchestrators with dynamic tool selection.

# Discover available capabilities
caps = app.discover(tags=["research"])

# AI selects tool at runtime
for reasoner in caps.capabilities[0].reasoners:
    if matches_query(reasoner):
        return await app.call(reasoner.target)
Backend

Zero-Config Memory

Shared state without Redis setup.

# Agent A writes
await app.memory.set("prefs", data)

# Agent B reads (any server)
val = await app.memory.get("prefs")
Backend

Built-in Vector Search

Semantic search without vector DBs.

# Store with embeddings
await app.memory.set_vector("doc1", vector)

# Search semantically
results = await app.memory.search(query)
Trust

Agent Identity

Cryptographic decentralized identity for agents.

# Every agent gets an ID
# → did:agentfield:agent-123

# Every execution is signed
# → Verifiable, tamper-proof
Trust

Verifiable Credentials

Tamper-proof execution proofs.

# Execution Result = W3C Credential
{
  "type": "VerifiableCredential",
  "issuer": "did:agentfield:agent-1",
  "proof": { ...signature... }
}
Production

Async + Webhooks

Serverless-style async tasks via HTTP.

curl -X POST /v1/execute/async \
  -d '{
    "agent": "research.report",
    "webhook": "https://api.com/cb"
  }'
# → Get ID, receive webhook when done
OpenAI
Anthropic
Google
Meta
Mistral
Cohere
OpenAI
Anthropic
Google
Meta
Mistral
Cohere
DeepSeek
Perplexity
Groq
OpenRouter
together.ai
HuggingFace
DeepSeek
Perplexity
Groq
OpenRouter
together.ai
HuggingFace
Mistral
Google
OpenAI
Meta
Anthropic
Cohere
Mistral
Google
OpenAI
Meta
Anthropic
Cohere
agentfield

The Future of Software Is Autonomous - and Open

The next generation of systems won't just execute, they'll reason, coordinate, and prove. Let's build the open foundation together.

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Building the future of AI agents with production-grade infrastructure and control planes.

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