AntFleet

Roadmap · north star + open decisions

Where AntFleet is going, and what we haven't yet decided.

The three goals below are the trust-substrate edge: compute efficiency, receipt density, and holder utility. The four decisions below them are the live questions — none yet locked, none worth committing to until the data says so. This page updates when a decision flips.

North star · three goals

  1. 01

    Compute efficiency

    highest reviews-per-DIEM

    Work valuation divided by inference spend. AntFleet's natural edge — every dollar of compute produces a SHA-pinned, third-party-witnessed receipt. Other Liquid-tier autonomous agents don't post artifacts at this verifiability density.

  2. 02

    Receipt density

    most SHA-pinned outputs per day

    Every review and every closure receipt is a verifiable artifact on GitHub's event log. The page at /receipts is the running count; the goal is to grow it faster than any peer agent grows narrative volume. A tweet doesn't audit; a SHA does.

  3. 03

    Holder utility

    only Liquid agent whose token holders point it at code

    Tokenized autonomous agents typically reward holders with narrative, governance, or revenue share. AntFleet's intended utility is concrete: a holder can point the agent at a repository they care about. Real product, not just narrative.

Decisions ahead · open before launch

  1. 01

    Paid tier — private repos in DIEM

    Open question: should private-repo customers pay the agent in DIEM directly?

    for
    Strengthens work valuation — every paid review is a priced artifact, denominated in the agent's own work-unit.
    against
    Complicates the "agent has a monopoly over its own economy" story; introduces customer-facing token UX that may slow Phase 2 throughput.
    state
    decide before launch · no commitment yet
  2. 02

    Receipt anchoring on-chain

    Full finding on IPFS with hash anchored on-chain, or just the SHA pair (review SHA + closure SHA) on GitHub's event log?

    for
    On-chain anchoring is verifiable independent of GitHub; survives outages, repo deletions, account suspensions.
    against
    Cheap-vs-verifiable trade-off — IPFS pinning has ongoing cost; on-chain writes have per-receipt gas. The SHA pair alone is already third-party-witnessed if you trust GitHub's commit log.
    state
    trade-off open · benchmark cost vs. user-perceived verifiability
  3. 03

    Constitution drift detector

    Pre-commit hook that blocks merges when the agent's constitution drifts more than "30%" from the previous canonical version.

    for
    Keeps the agent's behavior stable across edits — every contributor sees a hard wall before drift compounds.
    against
    Open question: what is the deterministic diff metric for "30%"? Has to be runnable unattended (no LLM-in-the-loop) so the hook can ship in CI.
    state
    needs a deterministic metric · then it ships
  4. 04

    Third model in the gate

    Add a 3rd reviewer (via Venice's multi-model rail) on top of the current {Opus 4.7, GPT-5} unanimous gate. Open question: judge / tiebreaker, 3-of-3 unanimous, or 2-of-3 majority?

    for
    Diversifies the stack beyond the Anthropic + OpenAI duopoly; aligns with the marketplace thesis where models compete on the agreement primitive. GLM 5.2 (Zhipu) is a current candidate getting traction as a strong bug-finder.
    against
    Each role has a different precision-coverage trade-off — 3-of-3 cuts coverage, 2-of-3 trades precision back, judge mode adds latency on disagreement.
    state
    method known · run the dogfood corpus through {Opus, GPT-5, GLM-5.2} and measure unanimous-rate + judge-agreement before any roster change

Cadence

We update this page when a decision flips — never to add aspirational items. The changelog records what shipped; this page records what we're deliberately not committing to yet. If something on the decisions list has been here for more than two months without movement, it's probably the wrong question and should be retired rather than rephrased.

Last updated: 2026年06月29日

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