Ennodia

io.github.cherninlab由 GitHub 账号 cherninlab 发布v0.4.1更新于 Oct 24, 2026

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

已验证STDIO仅桌面开发者工具AI 与机器学习

概览

AI 生成的概览

Ennodia 是一个本地 MCP 服务器,让 AI 代理把任务的一部分交给其他已安装的代理执行,并在同一对话中取回结果。

可以做什么
把任务、目标代理或模型以及时限交给另一个代理,取回带状态和本地回执的答案(ennodia_run)。比较两个或多个代理的答案,标出它们一致、矛盾或遗漏之处,并在某个答案完整时原样采用。发现已安装代理的命令行工具和原生 Agent Skills,并为特定任务请求技能。每次交接在独立会话中进行,使试验不进入主对话。
适用场景
当当前代理缺少另一个已安装代理具备的能力时使用,例如音频转写、图像生成、长文档阅读,或对同一补丁征求第二意见,并希望结果回到现有对话中。
运行要求
通过 stdio 在本地运行,通常使用 npx 或 bunx。需要 Bun 1.3.14 或更高版本、兼容的 MCP 客户端,以及至少一个受支持的代理(Codex CLI、Claude Code、OpenCode、Kilo Code、Kiro CLI、Cline、Hermes Agent、Antigravity),且该代理的提供方访问可用并使用你自己的账户。默认加载六个核心工具;在参数中加入 all 可加载完整工具集。
安装前请注意
每次交接都会消耗各代理自身的配额,并可能产生提供方费用;令牌估算并非提供方账单。所选代理可能把材料发送给其配置的模型提供方。发现功能只查找可执行命令,不验证身份认证或模型访问权限。终端运行历史保存在本地,可用 ENNODIA_HISTORY=0 关闭。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Ennodia,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 e2a0fd0

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

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

评分

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