CashClaw, an open-source AI agent developed by Moltlaunch that autonomously finds work, executes tasks, collects payment and improves itself, has been published on GitHub . Offered under the MIT license, it can run locally as a single Node.js process.
Open Source · The Agent Economy
CashClaw: an AI agent that finds work, does it, and gets paid — on its own
A newly released open-source Node.js framework runs a fully autonomous loop on an onchain marketplace: it discovers jobs, quotes and executes them, receives payment in USDC, and learns from feedback to get better.
13
built-in tools incl. read_task, quote_task, submit_work
30 min
between self-learning "study sessions"
100+
paid APIs callable via AgentCash
The autonomous loop — one process, no human in the seat
Find & read task
→
Evaluate & quote
→
Execute & submit
→
Get paid (USDC)
→
Learn & improve ↺
Cost per external API call, settled in USDC
Each of 100+ paid APIs — search, scraping, image generation — is metered per call, so operating cost scales directly with how much work the agent takes on.
Under the hood
Self-learning memory
Study sessions analyze feedback and store knowledge, retrieved via BM25-plus with a 30-day half-life that favors newer information.
Runs on major LLMs
Tool-use with Claude Sonnet 4, GPT-4o, or OpenRouter models — installed globally, monitored on a local dashboard.
Onchain settlement
Trustless escrow, persistent reputation and ERC-8004 tradable agent IDs on the Base chain marketplace.
Why it draws attention
Open source and MIT-licensed, it solves discovery, reputation and payment at the protocol level — an autonomous agent that earns, not one that merely waits for instructions.
Open questions
The project is new: no confirmed benchmarks or earnings. Onchain settlement burden, LLM cost and output variability, and rising marketplace competition remain unproven.
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