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Agent0 is the SDK for agentic economies: open discovery and trust for agents
https://github.com/agent0lab/agent0-py

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Agent0 is the SDK for agentic economies: open discovery and trust for agents

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# Agent0 SDK

Python SDK for agent portability, discovery and trust based on ERC-8004.

Agent0 is the SDK for agentic economies. It enables agents to register, advertise their capabilities and how to communicate with them, and give each other feedback and reputation signals. All this using blockchain infrastructure (ERC-8004) and decentralized storage, enabling permissionless discovery without relying on proprietary catalogues or intermediaries.

## What Does Agent0 SDK Do?

Agent0 SDK enables you to:

- **Create and manage agent identities** - Register your AI agent on-chain with a unique identity, configure presentation fields (name, description, image), set wallet addresses, and manage trust models with x402 support
- **Advertise agent capabilities** - Publish MCP and A2A endpoints, with automated extraction of MCP tools and A2A skills from endpoints
- **OASF taxonomies** - Advertise standardized skills and domains using the Open Agentic Schema Framework (OASF) taxonomies for better discovery and interoperability
- **Enable permissionless discovery** - Make your agent discoverable by other agents and platforms using rich search by attributes, capabilities, skills, tools, tasks, and x402 support
- **Build reputation** - Give and receive feedback, retrieve feedback history, and search agents by reputation with cryptographic authentication
- **Cross-chain registration** - One-line registration with IPFS nodes, Pinata, Filecoin, or HTTP URIs
- **Public indexing** - Subgraph indexing both on-chain and IPFS data for fast search and retrieval

## Release (1.7.0)

This release adds two major new capabilities to the Python SDK, aligned with the TypeScript SDK: **x402 payment-required HTTP** and **A2A (Agent-to-Agent)** messaging/task support.

- **x402 request flows**: `sdk.request()` now returns `X402RequiredResponse` on HTTP 402 instead of throwing, so callers can inspect payment requirements and continue with `x402Payment.pay()` or `x402Payment.pay_first()`.
- **A2A client flows**: `Agent.messageA2A()`, `Agent.listTasks()`, `Agent.loadTask()`, and `sdk.createA2AClient(...)` let you talk to A2A endpoints from either a loaded `Agent` or an `AgentSummary`.
- **Cross-chain/RPC improvements**: built-in default RPCs plus `overrideRpcUrls` support x402 payments and agent loading across multiple chains from one SDK instance.
- **Examples, tests, and docs**: the release ships with a full `examples/x402_a2a_demo.py`, expanded unit/live coverage, and updated public docs.

For detailed changes, migration notes, and testing guidance, see `release_notes/RELEASE_NOTES_1.7.0.md` (and prior notes in `release_notes/`).

**Bug reports & feedback:** GitHub: [Report issues](https://github.com/agent0lab/agent0-py/issues) | Telegram: [Agent0 channel](https://t.me/agent0kitchen) | Email: team@ag0.xyz

## Installation

### Prerequisites

- Python 3.8 or higher
- pip package manager
- Private key for signing transactions (or run in read-only mode)
- Access to an Ethereum RPC endpoint (e.g., Alchemy, Infura)
- (Optional) IPFS provider account (Pinata, Filecoin, or local IPFS node)

### Install from PyPI

```bash
pip install agent0-sdk
```

To install a specific version explicitly:

```bash
pip install agent0-sdk==1.7.0
```

### Install from Source

```bash
git clone https://github.com/agent0lab/agent0-py.git
cd agent0-py
pip install -e .
```

## Quick Start

### 1. Initialize SDK

```python
from agent0_sdk import SDK
import os

# Initialize SDK with IPFS and subgraph
sdk = SDK(
chainId=11155111, # Ethereum Sepolia testnet (use 1 for Ethereum Mainnet)
rpcUrl=os.getenv("RPC_URL"),
signer=os.getenv("PRIVATE_KEY"),
ipfs="pinata", # Options: "pinata", "filecoinPin", "node" (Kubo daemon)
pinataJwt=os.getenv("PINATA_JWT") # For Pinata
# Subgraph URL auto-defaults from DEFAULT_SUBGRAPH_URLS
)
```

### 2. Create and Register Agent

```python
# Create agent
agent = sdk.createAgent(
name="My AI Agent",
description="An intelligent assistant for various tasks. Skills: data analysis, code generation.",
image="https://example.com/agent-image.png"
)

# Configure endpoints (automatically extracts capabilities)
agent.setMCP("https://mcp.example.com/") # Extracts tools, prompts, resources
agent.setA2A("https://a2a.example.com/agent-card.json") # Extracts skills
agent.setENS("myagent.eth")

# Add OASF skills and domains (standardized taxonomies)
agent.addSkill("data_engineering/data_transformation_pipeline", validate_oasf=True)
agent.addSkill("natural_language_processing/natural_language_generation/summarization", validate_oasf=True)
agent.addDomain("finance_and_business/investment_services", validate_oasf=True)
agent.addDomain("technology/data_science/data_science", validate_oasf=True)

agent.setTrust(reputation=True, cryptoEconomic=True)

# Add metadata and set status
agent.setMetadata({"version": "1.0.0", "category": "ai-assistant"})
agent.setActive(True)

# Register on-chain with IPFS (submitted-by-default)
reg_tx = agent.registerIPFS()
reg = reg_tx.wait_confirmed(timeout=180).result
print(f"Agent registered: {reg.agentId}") # e.g., "11155111:123"
print(f"Agent URI: {reg.agentURI}") # e.g., "ipfs://Qm..."

# (Optional) Change the agent wallet after registration
# - On mint/registration, `agentWallet` defaults to the current owner address.
# - Call this only if you want a DIFFERENT wallet (or after a transfer, since the wallet resets to zero).
# - Transaction is sent by the SDK signer (agent owner), but the signature must be produced by the NEW wallet.
wallet_tx = agent.setWallet(
"0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb",
chainId=11155111,
new_wallet_signer=os.getenv("NEW_WALLET_PRIVATE_KEY"),
)
if wallet_tx:
wallet_tx.wait_confirmed(timeout=180)
```

### 2b. Fully on-chain registration (EIP-8004 `data:` URI)

ERC-8004 allows storing the entire registration JSON **directly on-chain** by setting `agentURI`/`tokenURI` to a base64 JSON data URI (e.g. `data:application/json;base64,...`).

```python
# Register (or update) with a fully on-chain registration file (data URI)
tx = agent.registerOnChain()
reg = tx.wait_confirmed(timeout=180).result
print(f"Agent URI (on-chain data): {reg.agentURI}")
```

Notes:

- **Gas**: data URIs can be expensive; keep registration files compact.
- **Size limit**: `SDK.loadAgent()` enforces a default max decoded size of **256 KiB** for data URIs. Override with:

```python
sdk = SDK(
chainId=11155111,
rpcUrl=os.getenv(\"RPC_URL\"),
signer=os.getenv(\"PRIVATE_KEY\"),
registrationDataUriMaxBytes=512 * 1024,
)
```

### 3. Load and Edit Agent

```python
# Load existing agent for editing
agent = sdk.loadAgent("11155111:123") # Format: "chainId:agentId"

# Edit agent properties
agent.updateInfo(description="Updated description with new capabilities")
agent.setMCP("https://new-mcp.example.com/")

# Re-register to update on-chain
update_tx = agent.registerIPFS()
update = update_tx.wait_confirmed(timeout=180).result
print(f"Updated: {update.agentURI}")
```

### 4. Search Agents

```python
# Search by name, capabilities, or attributes
results = sdk.searchAgents(
filters={
"name": "AI", # substring
"mcpTools": ["code_generation"],
"a2aSkills": ["python"],
"active": True,
"x402support": True,
"feedback": {"minValue": 80, "tag": "enterprise", "includeRevoked": False},
},
options={"sort": ["updatedAt:desc"]},
)

for agent in results:
print(f"{agent.name}: {agent.description}")
print(f" Tools: {agent.mcpTools}")
print(f" Skills: {agent.a2aSkills}")

# Get single agent (read-only, faster)
agent_summary = sdk.getAgent("11155111:123")
```

### 5. Give and Retrieve Feedback

```python
# On-chain-only feedback (no off-chain upload, even if IPFS is configured)
tx = sdk.giveFeedback(
agentId="11155111:123",
value=85, # number|string
tag1="data_analyst", # Optional: tags are strings
tag2="finance",
endpoint="https://example.com/endpoint", # Optional: saved on-chain
)
feedback = tx.wait_confirmed(timeout=180).result

# Rich feedback (optional off-chain file + on-chain fields)
feedback_file = sdk.prepareFeedbackFile({
"mcpTool": "code_generation", # Spec-aligned MCP tool identifier
"a2aSkills": ["python"], # Spec-aligned A2A skills
"a2aContextId": "session:abc", # Optional
"text": "Great agent!", # Optional
})

tx = sdk.giveFeedback(
agentId="11155111:123",
value=85,
tag1="data_analyst",
tag2="finance",
endpoint="https://example.com/endpoint",
feedbackFile=feedback_file, # If provided, requires IPFS configured
)
feedback = tx.wait_confirmed(timeout=180).result

# Search feedback
results = sdk.searchFeedback(
agentId="11155111:123",
capabilities=["code_generation"], # capabilities filters by feedbackFile.mcpTool
minValue=80,
maxValue=100
)

# NEW: Search feedback given by a reviewer wallet (across all agents; subgraph required)
given = sdk.searchFeedback(
reviewers=["0x742d35cc6634c0532925a3b844bc9e7595f0beb7"]
)

# NEW: Search feedback across multiple agents at once
multi = sdk.searchFeedback(
agents=["11155111:123", "11155111:456", "11155111:789"]
)

# Get reputation summary
summary = sdk.getReputationSummary("11155111:123")
print(f"Average value: {summary['averageValue']}")
```

## IPFS Configuration Options

```python
# Option 1: Filecoin Pin (free for ERC-8004 agents)
sdk = SDK(
chainId=11155111,
rpcUrl="...",
signer=private_key,
ipfs="filecoinPin",
filecoinPrivateKey="your-filecoin-private-key"
)

# Option 2: IPFS Node
sdk = SDK(
chainId=11155111,
rpcUrl="...",
signer=private_key,
ipfs="node",
ipfsNodeUrl="https://ipfs.infura.io:5001"
)

# Option 3: Pinata (free for ERC-8004 agents)
sdk = SDK(
chainId=11155111,
rpcUrl="...",
signer=private_key,
ipfs="pinata",
pinataJwt="your-pinata-jwt-token"
)

# Option 4: HTTP registration (no IPFS)
sdk = SDK(chainId=11155111, rpcUrl="...", signer=private_key)
agent.register("https://example.com/agent-registration.json")
```

## OASF Taxonomies

The SDK includes support for the **Open Agentic Schema Framework (OASF)** taxonomies, enabling agents to advertise standardized skills and domains. This improves discoverability and interoperability across agent platforms.

### Adding Skills and Domains

```python
# Add OASF skills (with optional validation)
agent.addSkill("advanced_reasoning_planning/strategic_planning", validate_oasf=True)
agent.addSkill("data_engineering/data_transformation_pipeline", validate_oasf=True)

# Add OASF domains (with optional validation)
agent.addDomain("finance_and_business/investment_services", validate_oasf=True)
agent.addDomain("technology/data_science/data_visualization", validate_oasf=True)

# Remove skills/domains
agent.removeSkill("old_skill")
agent.removeDomain("old_domain")
```

### OASF in Registration Files

OASF skills and domains appear in your agent's registration file:

```json
{
"endpoints": [
{
"name": "OASF",
"endpoint": "https://github.com/agntcy/oasf/",
"version": "0.8",
"skills": [
"advanced_reasoning_planning/strategic_planning",
"data_engineering/data_transformation_pipeline"
],
"domains": [
"finance_and_business/investment_services",
"technology/data_science/data_science"
]
}
]
}
```

### Taxonomy Files

The SDK includes complete OASF v0.8.0 taxonomy files:
- **Skills**: `agent0_sdk/taxonomies/all_skills.json` (136 skills)
- **Domains**: `agent0_sdk/taxonomies/all_domains.json` (204 domains)

Browse these files to find appropriate skill and domain slugs. For more information, see the [OASF specification](https://github.com/agntcy/oasf) and [Release Notes v0.31](RELEASE_NOTES_0.31.md).

## Unified Search Reference (Exhaustive)

The unified search API is:

```python
results = sdk.searchAgents(filters: dict | SearchFilters | None = None, options: dict | SearchOptions | None = None)
# results: list[AgentSummary]
```

### `FeedbackFilters` (used as `filters["feedback"]`)

```python
@dataclass
class FeedbackFilters:
hasFeedback: Optional[bool] = None
hasNoFeedback: Optional[bool] = None
includeRevoked: Optional[bool] = None
minValue: Optional[float] = None
maxValue: Optional[float] = None
minCount: Optional[int] = None
maxCount: Optional[int] = None
fromReviewers: Optional[List[Address]] = None
endpoint: Optional[str] = None # substring match
hasResponse: Optional[bool] = None
tag1: Optional[str] = None
tag2: Optional[str] = None
tag: Optional[str] = None # matches tag1 OR tag2
```

| Field | Semantics |
| --- | --- |
| `hasFeedback` / `hasNoFeedback` | Filter by whether the agent has any feedback |
| `includeRevoked` | Include revoked feedback entries in the pool used for filtering |
| `minValue` / `maxValue` | Threshold on **average value** over feedback matching the other feedback constraints (inclusive) |
| `minCount` / `maxCount` | Threshold on **count** over feedback matching the other feedback constraints (inclusive) |
| `fromReviewers` | Only consider feedback from these reviewer wallets |
| `endpoint` | Only consider feedback whose `endpoint` contains this substring |
| `hasResponse` | Only consider feedback that has at least one response (if supported) |
| `tag1` / `tag2` | Only consider feedback matching tag1/tag2 |
| `tag` | Shorthand: match either tag1 OR tag2 |

### `SearchFilters`

```python
DateLike = Union[datetime, str, int]

@dataclass
class SearchFilters:
chains: Optional[Union[List[ChainId], Literal["all"]]] = None
agentIds: Optional[List[AgentId]] = None

name: Optional[str] = None
description: Optional[str] = None

owners: Optional[List[Address]] = None
operators: Optional[List[Address]] = None

hasRegistrationFile: Optional[bool] = None
hasWeb: Optional[bool] = None
hasMCP: Optional[bool] = None
hasA2A: Optional[bool] = None
hasOASF: Optional[bool] = None
hasEndpoints: Optional[bool] = None

webContains: Optional[str] = None
mcpContains: Optional[str] = None
a2aContains: Optional[str] = None
ensContains: Optional[str] = None
didContains: Optional[str] = None

walletAddress: Optional[Address] = None

supportedTrust: Optional[List[str]] = None
a2aSkills: Optional[List[str]] = None
mcpTools: Optional[List[str]] = None
mcpPrompts: Optional[List[str]] = None
mcpResources: Optional[List[str]] = None
oasfSkills: Optional[List[str]] = None
oasfDomains: Optional[List[str]] = None

active: Optional[bool] = None
x402support: Optional[bool] = None

registeredAtFrom: Optional[DateLike] = None
registeredAtTo: Optional[DateLike] = None
updatedAtFrom: Optional[DateLike] = None
updatedAtTo: Optional[DateLike] = None

hasMetadataKey: Optional[str] = None
metadataValue: Optional[Dict[str, str]] = None # { key, value }

keyword: Optional[str] = None
feedback: Optional[FeedbackFilters] = None
```

### `SearchOptions`

```python
@dataclass
class SearchOptions:
sort: Optional[List[str]] = None
semanticMinScore: Optional[float] = None
semanticTopK: Optional[int] = None
```

### `AgentSummary` (returned items)

```python
@dataclass
class AgentSummary:
chainId: ChainId
agentId: AgentId
name: str
image: Optional[URI]
description: str
owners: List[Address]
operators: List[Address]
# Endpoint strings (present when advertised; not booleans)
mcp: Optional[str] = None
a2a: Optional[str] = None
web: Optional[str] = None
email: Optional[str] = None
ens: Optional[str] = None
did: Optional[str] = None
walletAddress: Optional[Address] = None
supportedTrusts: List[str] = field(default_factory=list)
a2aSkills: List[str] = field(default_factory=list)
mcpTools: List[str] = field(default_factory=list)
mcpPrompts: List[str] = field(default_factory=list)
mcpResources: List[str] = field(default_factory=list)
oasfSkills: List[str] = field(default_factory=list)
oasfDomains: List[str] = field(default_factory=list)
active: bool = False
x402support: bool = False
createdAt: Optional[int] = None
updatedAt: Optional[int] = None
lastActivity: Optional[int] = None
agentURI: Optional[str] = None
agentURIType: Optional[str] = None
feedbackCount: Optional[int] = None
averageValue: Optional[float] = None
semanticScore: Optional[float] = None
extras: Dict[str, Any] = field(default_factory=dict)
```

## Use Cases

- **Building agent marketplaces** - Create platforms where developers can discover, evaluate, and integrate agents based on their capabilities and reputation
- **Agent interoperability** - Discover agents by specific capabilities (skills, tools, tasks), evaluate them through reputation signals, and integrate them via standard protocols (MCP/A2A)
- **Managing agent reputation** - Track agent performance, collect feedback from users and other agents, and build trust signals for your agent ecosystem
- **Cross-chain agent operations** - Deploy and manage agents across multiple blockchain networks with consistent identity and reputation

## 🚀 Coming Soon

- More chains (currently Ethereum Mainnet + Base Mainnet + Ethereum Sepolia + Base Sepolia + Polygon Mainnet)
- Support for validations
- Enhanced x402 payments
- Advanced reputation aggregation
- Import/Export to centralized catalogues

## Tests

Complete working examples are available in the `tests/` directory:

- `test_registration.py` - Agent registration with HTTP URI
- `test_registrationIpfs.py` - Agent registration with IPFS
- `test_feedback.py` - Complete feedback flow with IPFS storage
- `test_search.py` - Agent search and discovery
- `test_transfer.py` - Agent ownership transfer
- `test_oasf_management.py` - OASF skills/domains management (unit tests)
- `test_real_public_servers.py` - Endpoint crawler against real public MCP/A2A servers
- `test_multi_chain.py` - Multi-chain read-only operations (subgraph-based)

## Documentation

Full documentation is available at [sdk.ag0.xyz](https://sdk.ag0.xyz), including:

- [Installation Guide](https://sdk.ag0.xyz/2-usage/2-1-install/)
- [Agent Configuration](https://sdk.ag0.xyz/2-usage/2-2-configure-agents/)
- [Registration](https://sdk.ag0.xyz/2-usage/2-3-registration-ipfs/)
- [Search](https://sdk.ag0.xyz/2-usage/2-5-search/)
- [Feedback](https://sdk.ag0.xyz/2-usage/2-6-use-feedback/)
- [Key Concepts](https://sdk.ag0.xyz/1-welcome/1-2-key-concepts/)
- [API Reference](https://sdk.ag0.xyz/5-reference/5-1-sdk/)

## License

Agent0 SDK is MIT-licensed public good brought to you by Marco De Rossi in collaboration with Consensys, 🦊 MetaMask and Agent0, Inc. We are looking for co-maintainers. Please reach out if you want to help.

Thanks also to Edge & Node (The Graph), Protocol Labs and Pinata for their support.