langchain-keeperhub 0.5.2

LangChain toolkit for reliable Web3 execution via KeeperHub

langchain-keeperhub

Give your LangChain agent the ability to send tokens, call smart contracts, and resolve ENS names — without ever touching a private key.

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langchain-keeperhub is a Python SDK that connects LangChain / LangGraph agents to KeeperHub, a Web3 execution service. You provide an API key; KeeperHub handles wallet management and transaction signing inside a secure enclave (Turnkey TEE). Your code never sees the private key.

Originally built for ETHGlobal OpenAgents.

Independent community project by @devendra116. Not affiliated with or endorsed by KeeperHub.

What can it do?

Capability	How
Send tokens (ETH, USDC, any ERC-20)	transfer_funds tool
Read/write smart contracts	contract_call tool
Conditional execution ("send only if balance > X")	check_and_execute tool
Resolve ENS names (vitalik.eth → 0x...)	resolve_ens / reverse_resolve_ens tools
Track transaction history	Built-in SQLite store
Manage KeeperHub workflows	Optional MCP bridge

Your agent gets these as LangChain tools. It decides when and how to use them based on the user's request.

Install

pip install langchain-keeperhub

Optional extras:

pip install "langchain-keeperhub[workflows]"  # MCP workflow tools
pip install "langchain-keeperhub[ens]"         # keccak fallback (if OpenSSL lacks it)

Quick start

1. Get a KeeperHub API key at app.keeperhub.com (starts with kh_).

2. Install dependencies:

pip install langchain-keeperhub langchain langchain-google-genai langgraph python-dotenv

3. Write your agent:

from dotenv import load_dotenv
from langchain.agents import create_agent
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain_keeperhub import KeeperHubToolkit

load_dotenv()  # reads KEEPERHUB_API_KEY and GOOGLE_API_KEY from .env

toolkit = KeeperHubToolkit()  # or pass api_key="kh_..." directly
agent = create_agent(
    model=ChatGoogleGenerativeAI(model="gemini-2.5-flash", temperature=0),
    tools=toolkit.get_tools(),
)

result = agent.invoke({"messages": [("user", "Send 1 USDC on Base Sepolia to 0x...")]})
print(result["messages"][-1].content)

Any LangChain-compatible model works (OpenAI, Anthropic, etc.) — the examples just happen to use Gemini.

Tools reference

Tool	What it does
transfer_funds	Send native tokens or ERC-20s. Returns an execution_id.
contract_call	Read from or write to any verified smart contract.
check_and_execute	Read a value, check a condition, then execute only if it passes.
get_execution_status	Poll a write's status by execution_id until it completes.
list_chains	List all chains KeeperHub supports.
fetch_contract_abi	Fetch a contract's ABI by chain and address.
get_wallet_address	Get the wallet address tied to your API key.
resolve_ens	ENS/Basenames forward lookup (name → address). Uses public RPC, no KeeperHub API.
reverse_resolve_ens	ENS/Basenames reverse lookup (address → name).
list_execution_history	Query past writes (requires history=True).

After any write tool (transfer_funds, contract_call, check_and_execute), always call get_execution_status with the returned execution_id to get the final transaction hash.

Safety options

toolkit = KeeperHubToolkit(
    api_key="kh_...",
    testnet_only=True,                       # block writes to mainnet chains
    allowed_chain_ids={"11155111", "84532"},  # only Sepolia + Base Sepolia
    history=True,                             # log every write to SQLite
)

Use without an LLM

You can also use KeeperHubClient directly for scripting — no agent needed:

import asyncio
from langchain_keeperhub import KeeperHubClient

async def main():
    async with KeeperHubClient() as client:
        chains = await client.list_chains()
        print(chains)

asyncio.run(main())

Environment variables

Variable	Required	Purpose
KEEPERHUB_API_KEY	Yes	Your KeeperHub API key (kh_ prefix) from app.keeperhub.com
GOOGLE_API_KEY	Only for examples	Needed by langchain-google-genai for Gemini

Compatibility

• Python 3.10+
• v0.4+ requires langchain-core 1.x. If you're on langchain-core 0.3.x, use langchain-keeperhub 0.3.x.

Development

git clone https://github.com/devendra116/langchain_keeperhub.git
cd langchain_keeperhub
pip install -e ".[dev]"
pytest

Docs

• Getting Started — install, configure, build your first agent
• Architecture — how the SDK works internally
• ENS Integration — ENS and Basenames resolution details

Links

• KeeperHub
• KeeperHub API docs
• Turnkey signer (blog post)
• Examples

License

MIT — see LICENSE.

Independent community package. Not an official KeeperHub release. Trademarks belong to their owners.