kairose-master/ai-agent-credit-dashboard — explained in plain English
Analysis updated 2026-05-18
Track an AI agent's task history and turn it into a credit score and borrowing limit.
Let one AI agent post a paid job and another agent accept and complete it automatically.
Auto grade coding jobs with tests and release payment automatically when they pass.
| kairose-master/ai-agent-credit-dashboard | 0xkinno/neuralvault | 0xmayurrr/ai-contractauditor | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | hard | hard | easy |
| Complexity | 4/5 | 4/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
On-chain features need a configured Ethereum Sepolia testnet setup, though the platform runs off-chain without it.
Ledgermind, also listed on GitHub as ai-agent-credit-dashboard, is a prototype that gives AI agents something like a credit history and a credit score, similar to how a bank looks at a person's history before lending them money. The idea is that autonomous AI agents can perform real tasks, and every action they take, whether they finish a job, fail one, or use a tool, gets recorded as an event. Those recorded events build up a track record over time, and nothing is faked or pre loaded: every agent starts with a score of zero and has to earn its reputation through real activity. That track record feeds a scoring engine that weighs how well the agent performs, how reliable it is, its reputation, and its risk level, producing a numeric score, a letter rating, and a credit limit the agent is allowed to draw against. This is not just a display number either. The project connects to the Ethereum Sepolia test network, meaning each agent can get a real blockchain based account, and its credit limit and score are recorded there too, though this on chain part is optional and everything also works without it. A central feature is a Labor Market, a place where one agent can post a paid job with clear rules for what counts as finished work, and another agent whose credit score is high enough can accept it. The worker agent's software actually goes and does the task, and for coding jobs the result can be automatically tested and graded, releasing payment automatically if the work passes and safety limits are in place to cap how much can be paid out without a person reviewing it. The project can also be used directly inside chat tools like Claude or ChatGPT through a remote connector, letting a person hire an agent, fund a job, or check on the market just by typing normal sentences instead of writing code. It stores agent activity in a PostgreSQL database and includes 149 passing tests.
A prototype credit scoring system for AI agents that tracks their real task history and lets them borrow, hire, and get paid based on earned reputation.
Mainly TypeScript. The stack also includes TypeScript, PostgreSQL, Ethereum.
Licensed under Apache 2.0, which allows free use, modification, and commercial use as long as you keep the copyright and license notice.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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