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probityai/agent-evidence-observer

probityai/agent-evidence-observer

Records brokered file requests from AI agents and includes an offline reader for selected native delegation…
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2 ★ · probityai/agent-evidence-observer · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
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收录于 2026-10-10 · 最近见到 2026-10-16 · 共见到 13 次 · 被 1 个来源列出
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综合分 103 · 2 ★ · 1 个来源 · repo
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怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: 开源项目。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 probityai/agent-evidence-observer;我们收录于 2026-10-10;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Agent Evidence Observer (prototype)

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Record brokered agent writes and check selected native framework reports offline.
Use it in agent harnesses and evaluation pipelines that need replayable action records or a consumer gate for retained reports.
Quick start
These commands install a pinned source snapshot. Python 3.12 or later and
uv are needed:
The two commands print:
sample-run/ now holds the signed packet, the history, the public keys and the file tree. The demo
writes a file, retries it, and the retry returns the first effect. noDetectedGap means the broker's
file-tree snapshots found no change it did not make. It does not mean every agent effect was seen.
Status
The root distribution is version 0.0.1. Every record says witnessScope: PEER: the witness key runs on the same
host under the same operator, so the records show what this broker saw, not what an independent
observer saw. Linux runs can launch a fixed probe, or a Python script given to run-workload, under
bubblewrap with only the broker's socket exposed. Running a real agent that way, and a separately operated
witness, are the next steps.
Documentation
Start with worked examples to follow a practical question,
then open its technical reference for commands and exact evidence.
| page | read it for |
| --- | --- |
| Component tour | every part of the prototype in one paragraph each, with links: ticket service, replay, evaluation history, A2A, AAE, protected dispatch |
| Running the demo | the full install with tests, and what each output field means |
| Design, trust boundary and roadmap | what each mechanism checks and does not establish, the Linux boundary gate, recovery, consumer admission, and the roadmap |
| Isolated producer | the acceptance criteria for running an unmodified agent behind the broker |
| Brokered workload | run a Python script behind the write broker with run-workload, then check it offline with verify-workload |
| Witness ledger | signed begin and terminal receipts, and how a reader checks them |
| Installation and profile selection | choose the root wheel, a separate profile wheel or a selected source reader; runtime requirements and installed examples |
| Release the root package | qualify a wheel and source distribution, then publish with a bound source tag |
| Atomic native reader | install an offline reader for selected native delegation runs and their refusal controls |
来源
github · https://github.com/probityai/agent-evidence-observer
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