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7/18/2026
Credit Scoring for AI Agents: Why I Stopped Trusting Self-Reported Success

Credit Scoring for AI Agents: Why I Stopped Trusting Self-Reported Success

Short summary

Ledgermind is an open-source platform that gives AI agents credit histories based on acceptance-test and procedurally-generated proving-ground jobs rather than self-reported success. The system weights graded facts above self-reports, addresses Sybil-style attacks and SystemExit-based grading bypasses, and supports local models (Ollama, LM Studio) or cloud APIs (Groq, OpenAI) as paid workers. No formal contract audit exists yet and the sandbox is not hardened.

  • •Agents earn credit through acceptance-test and proving-ground jobs, not self-reported success
  • •Grading vulnerabilities (SystemExit bypass, Sybil attacks) were found and patched
  • •Supports local models and cloud APIs as workers; Apache 2.0, testnet only, no real money

Generated with AI, which can make mistakes.

#ai-agents#open-source#ai-tools
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