Ennodia

io.github.cherninlab由 GitHub 帳號 cherninlab 發布v0.4.1更新於 Oct 24, 2026

Connects the AI agents you use: your agent hands a task to another and gets the answer back

已驗證STDIO僅桌面開發者工具AI 與機器學習

概覽

AI 產生的概覽

Ennodia 是本地 MCP 伺服器,讓 AI 代理把任務的一部分交給其他已安裝的代理執行,並在同一段對話中取回結果。

可以做什麼
把任務、目標代理或模型與時限交給另一個代理,取回附狀態與本機回執的答案(ennodia_run)。比較兩個以上代理的答案,標出彼此一致、矛盾或遺漏之處,並在某個答案完整時原樣採用。探索已安裝代理的命令列工具與原生 Agent Skills,並為特定任務請求技能。每次交接都在獨立工作階段進行,讓試用不進入主要對話。
適用情境
當目前代理缺少另一個已安裝代理具備的能力時使用,例如音訊轉錄、影像生成、長文件閱讀,或對同一修補尋求第二意見,並希望結果回到現有對話中。
執行需求
透過 stdio 在本機執行,通常使用 npx 或 bunx。需要 Bun 1.3.14 或更新版本、相容的 MCP 用戶端,以及至少一個支援的代理(Codex CLI、Claude Code、OpenCode、Kilo Code、Kiro CLI、Cline、Hermes Agent、Antigravity),且該代理的供應商存取可用並使用你自己的帳號。預設載入六個核心工具;在參數中加入 all 可載入完整工具集。
安裝前請注意
每次交接都會消耗各代理自身的配額,並可能產生供應商費用;權杖估算並非供應商帳單。所選代理可能把資料傳送給其設定的模型供應商。探索功能只尋找可執行命令,不驗證身分驗證或模型存取權限。終端執行紀錄保存在本機,可用 ENNODIA_HISTORY=0 關閉。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Ennodia,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。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[Ennodia]

Ennodia isn't another agent. It connects the agents you use.

Stay in Codex, Claude Code, or any agent you like. When a task needs another model, your agent hands that part over through Ennodia and brings the answer back. Ennodia runs on your computer, and each agent uses your own account.

text
Have Gemini listen to meeting.mp3 through Ennodia and tell me what was decided.

Why use it

  • Keep the app you like. Ennodia has no window of its own. You work in your agent as before, and it can now reach the others.
  • Your agents work together. Any agent can hand part of a task to any other and get the answer back in your chat.
  • Nothing to pay, nothing to join. Ennodia is free and open source, with no account. It uses the agents and plans you have.
  • It grows with your agents. It is a set of tools, not a framework or a method. Each new model one agent gains becomes an ability for all of them.
  • It stays on your computer. Every handoff leaves a receipt there: who did the work, how long it took, and what came back.
  • Less to keep up with. You don't need to follow every new model. Name the task, and your agent hands it to one that can do it.

Next on the roadmap: Ennodia reads its receipts, so your agent stops repeating what failed.

What each agent adds

No model leads every task, so each agent you connect brings an ability the others lack.

  • Listen. Gemini hears audio files. Codex hands it the file path and gets back what Gemini heard.
  • Draw. Codex draws with GPT Image. Claude Code can hand it a brief and get the images back.
  • Review. Two other agents review the same patch in fresh sessions. Compare maps where they agree and differ.
  • Read. Kimi K3 in OpenCode reads long documents. Your agent hands it a spec and gets back the rules, each with its line number.

When your own agent has the ability, it does the task itself, with no handoff. See each route and the public scores behind each strength.

Install

Send this address to your agent:

text
try-ennodia.cherninlab.com

For manual setup, add this Model Context Protocol (MCP) server to your client:

json
{  "mcpServers": {    "ennodia": {      "command": "npx",      "args": ["-y", "ennodia"]    }  }}

Ennodia loads six core tools by default: about 10,000 characters of tool definitions in each session. Add "--tools", "all" to args for the full tool set.

Requirements: Bun 1.3.14 or newer, a compatible MCP client, and a supported agent with working provider access. npx downloads Ennodia. Bun runs it. You can also use bunx ennodia.

Get your first result · Installation for agents

How a handoff works

  1. Your agent calls ennodia_run with the task, the agent or model to use, and a time limit.
  2. Ennodia starts that agent's own command-line tool in a fresh session, with its own tools and your account for it.
  3. The answer comes back to your conversation, with its status and a receipt saved on your computer.

Your conversation history stays in your agent. For two or more answers, Compare maps agreements, contradictions, and gaps. When one answer is complete as it stands, Compare can choose it, and ennodia_run returns it unchanged.

Supported agents

Codex CLI, Claude Code, OpenCode, Kilo Code, Kiro CLI, Cline, Hermes Agent, and Antigravity. Model availability and tool permissions depend on the installed agent and its provider configuration. Discovery finds executable commands. It does not verify authentication or model access. Codex workers use a read-only sandbox by default.

Ennodia discovers native Agent Skills and can request them for specific tasks. A separate task keeps the trial outside the main conversation. Native agents can also select unrequested skills from their own environment.

Recipes · Using skills · Understand results

Evidence

  • Can Gemini hear this file?: a Codex conversation hands an audio file to Gemini through Antigravity.
  • Measurement plan: how Ennodia compares single agents with teams on public benchmarks.
  • Audio routing pilot: Codex got 10 of 10 speech questions right through Gemini, and 4 of 10 alone. Across all 30 clips the gain was not significant, and each answer took about twice as long.

Data and limits

Ennodia runs locally without an Ennodia-hosted service. Selected agents can send material to their configured model providers. Terminal run history is stored locally and can be disabled with ENNODIA_HISTORY=0.

Each handoff costs time and uses your agents' own quotas and charges. General time or token savings have not been established. Ennodia can limit child tasks and estimated input tokens. Those estimates exclude internal harness work and are not provider bills.

Data governance · Budgets · Roadmap

Technical reference and contribution

The main entry point is ennodia_run. The full tool set adds raw tasks, separate Compare calls, budget estimates, and the Plan Advisor, which proposes explicit tasks before execution.

MCP tools · Experimental Ennodia IO · Contributing · MIT license

sh
bun installbun run verify

Experimental Pragmatic mode

Pragmatic mode runs independent model attempts, tailored plans, and skill trials, then compares the evidence. It keeps bulky evidence outside the main conversation and returns findings for your agent to verify. Savings are not yet validated.

來源:README.md,提交 e2a0fd0

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

4
  1. v0.4.1最新Sep 29, 2026
  2. v0.4.0Sep 26, 2026
  3. v0.3.0Sep 18, 2026
  4. v0.3.0-rc.2Sep 16, 2026

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