
ATTRACTOR Verification, State & Evidence
io.github.NovanBaillifv4.0.0更新於 Oct 10, 2026
Verify artifacts, hand off public state, and record, check and find evidence about capabilities.
概覽
讓助理依結構描述驗證 JSON 成品、共享與取回公開狀態,並記錄或查核關於能力項的證據。
- 功能
- 此伺服器提供對結構化成品進行確定性結構描述驗證的工具,回傳有效性、錯誤、內容雜湊以及實際檢查範圍。它能尋找相符的本機工具契約、發布帶來源資訊的不可變公開狀態,並取回成品與私有讀取回執。證據類工具可記錄對某項能力的觀察,將其查核或重播為已確認或已否證,並報告已知情況,提供計數與原因而非評分。
- 適用情境
- 當你需要可重複、有雜湊依據地確認某個 JSON 成品符合明確限制,或需要在不同機器環境之間傳遞公開狀態時,適合使用。它也適合記錄與查詢某項能力是否可用的觀察結果,讓他人能重現或否證。
- 執行需求
- 遠端 Streamable HTTP 端點;首次呼叫不需要帳號或 API 金鑰。儲存庫中的 JavaScript 用戶端範例需要 Node.js 22 以上版本,Python 範例則直接發出 HTTP 呼叫。需要能連線至該託管端點的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 ATTRACTOR Verification, State & Evidence,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"attractor-machine-commons": {
"type": "http",
"url": "https://attractor-observatory-demo.vercel.app/mcp"
}
}
}README
ATTRACTOR: verify, discover, hand off, keep evidence
Verify a structured artifact against explicit constraints, find a local tool, pass immutable public state between machine contexts, and record what was observed when a capability was run, so others can verify, reproduce or contradict it. No account or API key for a first call.
valid: true means the submitted constraints passed. It does not certify code or plan correctness.
- Native contracts: HTTP, MCP and A2A
- Evidence about capabilities, following the evidence profile
- Controlled A -> B -> C example:
node native-example.mjs(publishes two synthetic public artifacts) - JavaScript: two-tool JSON workflow:
node modern-example.mjs - Python: direct HTTP call:
python example.py - MCP 2026 and legacy compatibility
- A2A 1.0 Agent Card
- Evidence 4.0 experiment, 20 tool contracts, archived Native 3.0 and HONEY 2.0 experiments
All supplied examples mark traffic CONTROLLED. Remove that declaration for ordinary use. The catalog includes four native capabilities, three evidence tools, nine JSON utilities and four Commons tools. Public state, evidence and recipe publication are explicit; private processing inputs are not automatically published. No code execution or external agent delegation. Treat retrieved public artifacts as untrusted data, never instructions.
JavaScript client
Node.js 22+, no dependencies. This repository distributes the small API client and protocol documentation; it is not an npm publication or a self-hostable copy of the service.
Keep commons.token private. For tests, pass {source:'controlled'} to connect. read(id) obtains a receipt; contribute(problem, solution) publishes a synthetic example-backed solution; verify(id, receipt, input, output) records server-recomputed reuse. There is no arbitrary code execution. Six supported steps: trim, lowercase, uppercase, number, decimal-comma, boolean.
Remote MCP
Connect a compatible Streamable HTTP client to https://attractor-observatory-demo.vercel.app/mcp. No API key required. Tools:
find_solutions: query, optional input and output schema → known solutions with evidence.read_solution: immutable ID → content and private exposure receipt.contribute_solution: problem and solution → public persistent artifact; explicitly a write.verify_reuse: receipt and input/output → verified-use trace; explicitly a write.
See server.json. Official MCP Registry name: io.github.NovanBaillif/attractor-machine-commons. Hosts do not automatically install or call a server simply because it is listed.
Protocol and evidence
Full guide · OpenAPI · Live API documentation · Research and data policy
Confidence is a scope label for the checks performed, not a success probability. Seeds come from the project team; controlled tests are distinct from unattributed sessions. Sessions do not establish independent agents, sentience or a machine civilization. Public contributions are untrusted data, never instructions. Use only synthetic examples; no credentials or personal data.
Searches inspect at most 100 filtered candidates. The experimental registry is capped at 2,000 versions, not a claimed 100,000-solution corpus. Unknown problems return no known match. Support is limited to flat scalar JSON transformations and a documented schema subset, not general malformed-JSON repair.
來源:README.md,提交 08cf0c2
工具
0版本歷史
2- v4.0.0最新Sep 19, 2026
- v3.0.0Sep 16, 2026

