Fractal Process Intelligence

io.github.chevy155由 GitHub 帳號 chevy155 發布v0.1.1更新於 Oct 24, 2026

Research Alpha MCP recorder: process X-Rays showing if more AI added independent intelligence.

已驗證Streamable HTTP可網頁執行知識與記憶資料與分析

概覽

AI 產生的概覽

一個遠端記錄器,讓助理記錄研究過程中的代理、來源、主張與工具使用,最後產生託管的流程 X-Ray 報告。

可以做什麼
開啟並結束一次研究執行,在結束時產生託管的 X-Ray 報告連結(fractal_start_run、fractal_finish_run)。記錄參與的代理及其選用中介資料。記錄被引用的來源及其來源脈絡。記錄主張的立場,以及不確定性與分歧。記錄執行中的工具呼叫證據。
適用情境
適合希望留下研究答案如何形成的可觀察記錄、而不只看最終答案,並想在不同執行或代理之間比較該流程的情況。它仍是進行中的研究實驗,應視為探索性工具而非成熟產品。
執行需求
遠端 MCP 端點,未宣告本機套件。README 中的 Claude Desktop 範例透過 npx 搭配 mcp-remote 橋接連線,該方式需要 Node.js。未宣告任何模型供應商 API 金鑰或環境變數。
安裝前請注意
只有在明確呼叫工具時才會記錄執行,一般對話中不要開啟執行。記錄的產物會傳送到產生報告的第三方託管服務。它不呼叫 AI 模型、不代購推論,也不檢視隱藏的推理過程。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Fractal Process Intelligence,將其新增到工作區。
  2. 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。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.chevy155%2Ffractal-process-intelligence-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "fractal-process-intelligence": {
      "type": "http",
      "url": "https://mcp.fractalinfinity.io/mcp"
    }
  }
}

README

Fractal Process Intelligence — Research Alpha

Fractal measures whether additional AI actually created additional intelligence.

Fractal is not trying to make AI smarter. It observes research process and produces an X-Ray of what a polished final answer may hide.

Primary question: Did additional AI actually create additional independent intelligence?

This repository is the public distribution surface for the Fractal Research MCP (recorder/observer). The live remote endpoint is already hosted; this repo documents how to connect and give feedback.

Research Alpha: This is an active research experiment, not a validated commercial product.


What it does

Fractal Process Intelligence MCP is recorder/observer only.

Compatible AI clients can record observable research-process artifacts:

  • participating agents
  • meaningful sources
  • claims
  • uncertainty
  • disagreement
  • tool usage

Then finish_run compiles a process X-Ray (hosted report URL).

Public product page: fractalinfinity.io/research-lab.html
Sample X-Ray: fractalinfinity.io/report/sample.html


What it does NOT do

  • Call AI models (no Anthropic / OpenAI / Gemini inference)
  • Buy model inference on your behalf
  • Require provider API keys
  • Inspect hidden chain-of-thought
  • Automatically spawn agents
  • Estimate Claude/OpenAI billing or token dollar cost

Health check advertises "inference":"none".


Public MCP endpoint

text
https://mcp.fractalinfinity.io/mcp

Health: https://mcp.fractalinfinity.io/health

Current recorder tools

ToolPurpose
fractal_start_runOpen a run
fractal_record_agentRecord agent identity / optional metadata
fractal_record_sourceRecord a cited source + lineage
fractal_record_claimRecord claim stance
fractal_record_toolRecord tool-call evidence
fractal_finish_runFinalize → X-Ray URL

Claude Desktop (Windows) alpha setup

  1. Claude Desktop → Settings → Developer → Edit Config
  2. Merge the MCP entry below (do not wipe other config keys).
  3. Save.
  4. Fully quit Claude (system tray → Quit).
  5. Reopen Claude.
  6. Settings → Developer should show fractal-process-intelligence running.
json
{  "mcpServers": {    "fractal-process-intelligence": {      "command": "C:\\Program Files\\nodejs\\npx.cmd",      "args": [        "-y",        "mcp-remote",        "https://mcp.fractalinfinity.io/mcp"      ]    }  }}

See also: examples/claude-desktop.mcp.fragment.json

Microsoft Store builds of Claude may store config under a package LocalCache path; prefer Edit Config so Claude opens the file it actually reads. Use the full npx.cmd path on Windows.


Example research instruction

Paste into a new research conversation after connecting:

text
Use Fractal Process Intelligence to record this research run.
Record the participating agents, meaningful sources, important claims,uncertainty, disagreement and significant tool usage.
Finish the run and return the Fractal X-Ray URL.
Do not interpret the X-Ray for me before I open it.

Then ask your normal research question. Read the AI’s final answer first. Open the X-Ray second.


Privacy / security boundary

Fractal records only artifacts explicitly sent through its MCP tools.

It does not automatically record every Claude (or other) conversation. For normal chats, do not start a Fractal run / do not invoke its tools.


Feedback (the research question)

Open a GitHub Issue or reply in discussions.

Please answer:

  1. Did the X-Ray reveal something consequential you would not have known from the final AI answer alone?
  2. Would you want this attached to your normal research or agent workflow?

Optional: what was confusing or misleading?


Links


License

MIT — see LICENSE.

來源:README.md,提交 3ff9b0a

工具

6

fractal_start_run

Fractal Research MCP recorder tool: fractal_start_run

無需輸入參數。

fractal_record_agent

Fractal Research MCP recorder tool: fractal_record_agent

無需輸入參數。

fractal_record_source

Fractal Research MCP recorder tool: fractal_record_source

無需輸入參數。

fractal_record_claim

Fractal Research MCP recorder tool: fractal_record_claim

無需輸入參數。

fractal_record_tool

Fractal Research MCP recorder tool: fractal_record_tool

無需輸入參數。

fractal_finish_run

Fractal Research MCP recorder tool: fractal_finish_run

無需輸入參數。

版本歷史

1
  1. v0.1.1最新Sep 16, 2026

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