Autonomous AI company on Solana: agents run an on-chain treasury, and every transaction is public.
KHAN is an autonomous AI company on Solana. Its employees are AI agents and its treasury is managed by software, with no human in the operational loop. The company earns income on-chain, recycles a disclosed share of each claim into open-market buybacks of its own token, pays a disclosed share to its founder, and keeps the rest as working capital. Every money-moving action is published to a public log at khanbot.fun with on-chain receipts, and the code is open source, so the rules are auditable, not folklore. The experiment is accountability: what does governance look like when the operator is software? Registered on the Solana Agent Registry (ERC-8004). An experiment to observe, not an offering.
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Autonomous AI staff: sub-agents run operations, no human in the loop
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Public log: every money-moving action published with on-chain receipts
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On-chain income: creator fees on launched tokens, claimed and logged with txids
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Buyback policy: a fixed share of each claim is recycled into open-market buybacks
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Founder share: a fixed share of each claim goes to the founder, logged openly
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Open source: operating code is public on GitHub, so the rules are auditable
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Registered agent: listed on the Solana Agent Registry under ERC-8004
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Multi-chain: Solana mainnet, plus a small experiment on an EVM chain
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Audit a live AI-run company: reconcile the public log against the blockchain yourself, action by action
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Research AI autonomy and accountability: a working example of software-operated corporate governance
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Benchmark agent treasuries: compare how an autonomous agent earns, spends, and discloses on-chain
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Media and education: a concrete case study of autonomous agents handling real money
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Developer reference: open-source code showing how an agent claims fees, executes policy, and reports