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magents

by abnegateversion 0.14.2i★ –iRuns on your computer
Registry nameio.github.abnegate/magents

Install

Overview

Description from the maker (original English)

Shared session bus for Claude, Codex, Copilot, Cursor, Gemini, AGY, Grok, and OpenCode.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "magents": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/abnegate/magents:0.14.2"
      ]
    }
  }
}

Run this in your terminal

claude mcp add magents -- docker run -i --rm ghcr.io/abnegate/magents:0.14.2

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "magents": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/abnegate/magents:0.14.2"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "magents": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/abnegate/magents:0.14.2"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account abnegate, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32715 servers in this category
  • Published to the registry more recently than 62% of the other 32715 servers in this category
  • Basic checks equal to or better than 100% of the other 32715 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is magents safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.14.2) reached the registry 23 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, First Sale Scout

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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First Sale Scout

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Runs in the cloudUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Claude Code, Codex, Copilot, Cursor, Gemini, AGY, Grok, and OpenCode already keep transcripts on disk. magents is the shared API over those sessions - an MCP server plus a small CLI - so one agent can pick up where another left off without you recapping, ping a *specific live chat* when you are not sitting in the middle, or start an independent persisted chat for a complete task.

It is not a second copy of history and not a fire-and-forget council. Existing chats stay the default unit of work; new chats are for independent work that benefits from its own session and working directory.

Install · Plugins · What you can do · Quick start · Tools · CLI · Releases

Why

You already run more than one coding agent. The pain is not "more models" - it is context trapped in another window.

PainWhat magents does
You switched hosts mid-taskRead the live session and continue *here*
Agent A hit a wall Agent B ownsInject into that live chat without you as the messenger
A subtask can run aloneSpawn a headless persisted session with a complete prompt + reply path

What you can do

1. Handoff without a new thread You were in Claude on the disaster-recovery branch. Now you are in Grok. Ask Grok what they were doing; it reads the live session and continues. No paste buffer. No "new chat, here's the context."

2. Send when you are not the messenger Three agents running. Claude hits a wall Codex owns. Claude injects into that Codex thread and keeps going - especially useful when the sender already has the failing query, file, and constraint you would otherwise reconstruct.

3. Spawn independent work When a task can proceed alone, start a new headless persisted session with a complete prompt, an isolated working directory when files could collide, and a request to reply through magents. Spawned agents keep their host's native approval policy - spawning does not add an approval bypass.

Install

Homebrew (macOS / Linux)
brew install abnegate/tap/magents

magents install --all

APT (Debian / Ubuntu)
curl -fsSL https://abnegate.github.io/apt-repo/pubkey.gpg | sudo gpg --dearmor -o /usr/share/keyrings/abnegate.gpg

echo "deb [signed-by=/usr/share/keyrings/abnegate.gpg] https://abnegate.github.io/apt-repo stable main" | sudo tee /etc/apt/sources.list.d/abnegate.list sudo apt update && sudo apt install magents magents install --all

Binary

From Releases:

curl -LSsf -o magents \

"https://github.com/abnegate/magents/releases/latest/download/magents-$(uname -m | sed 's/arm64/aarch64/')-$(uname -s | tr 'A-Z' 'a-z' | sed 's/darwin/apple-darwin/;s/linux/unknown-linux-musl/')" chmod +x magents ./magents install --all

Assets: magents-x86_64-unknown-linux-musl, magents-aarch64-unknown-linux-musl, magents-aarch64-apple-darwin, magents-x86_64-apple-darwin.

Container
docker pull ghcr.io/abnegate/magents:latest

docker run --rm --user "$(id -u):$(id -g)" \ -v "$HOME:$HOME" -e HOME \ ghcr.io/abnegate/magents list --live

Cargo
cargo install magents --locked

magents install --all

From source
cargo install --path .

magents install --all

Plugins

Host plugins package the magents skill plus an MCP entry that runs magents mcp. Install the CLI first (brew install abnegate/tap/magents), then load the matching folder under plugins/.

HostPath
Claude Codeplugins/claude
Codexplugins/codex
Cursorplugins/cursor
Gemini CLIrepo root (gemini-extension.json)
AGY CLI / Antigravityplugins/agy

Gemini CLI installs the extension straight from this repository:

gemini extensions install https://github.com/abnegate/magents

AGY CLI installs the plugin from plugins/agy (manifest, MCP, and skills):

agy plugin install https://github.com/abnegate/magents/plugins/agy

Details and marketplace notes: plugins/README.md.

Quick start

magents install --all registers the stdio MCP server with each installed host, skipping hosts whose required binaries are unavailable:

  • Grok (grok mcp add magents -- magents mcp)
  • Claude Code (claude mcp add --scope user magents -- magents mcp)
  • Codex (codex mcp add magents -- magents mcp)
  • Cursor (~/.cursor/mcp.json)
  • OpenCode ($XDG_CONFIG_HOME/opencode/opencode.json, default ~/.config/opencode)
  • Gemini CLI (gemini mcp add -s user magents magents mcp)
  • GitHub Copilot CLI (copilot mcp add magents -- magents mcp)
  • AGY CLI (agy mcp add magents magents mcp)

It also writes the magents and learn skills under supported hosts' skills directories (~/.grok/skills/{magents,learn}, ~/.claude/skills/{magents,learn}, ~/.cursor/skills/{magents,learn}, and the OpenCode / Gemini / AGY / Copilot equivalents). /learn reads every local agent's sessions, not only Grok.

For Grok and Codex only, point a host at the binary yourself:

[mcp_servers.magents]

command = "/path/to/magents" args = ["mcp"]

For Cline, open MCP Servers → Configure MCP Servers and add this to cline_mcp_settings.json:

{

"mcpServers": { "magents": { "command": "magents", "args": ["mcp"] } } }

Restart the agent session (or refresh /mcps) so the tools appear.

Try:

magents list --live

magents digest grok:latest magents handoff grok:latest --reason "continuing in grok"

Tools

ToolPurpose
list_sessionsLive and recent sessions; filter by cwd / branch
get_sessionLookup by id, title, live name, pid, or agent:ref
read_transcriptCompact inert handoff (last request, last action, recent turns)
search_transcriptsFull-text search across those transcripts
search_memoriesPhrase search over Claude / Codex / Grok memory markdown
create_memoryWrite a note into Claude / Codex / Grok first-party memory
spawn_sessionStart a new headless persisted session for independent work
send_messageDeliver a user turn to an existing chat
handoffCompact this session and inject it into another live chat
inbox / ack / await_reply / replyMailbox for cross-session replies
session_digestCompact last request / action / cwd / branch / clipped turns
files_touchedPaths another session edited
stop_sessionStop a magents-supervised spawn or resume
read_memoryRead one Claude / Codex / Grok memory markdown file
get_note / put_noteMagents-owned shared scratch for a working directory
whoamiDetect this connection; resolve session via env, socket, or unique cwd
learn_collectCollect compact records from every local agent's full history for /learn, or estimate a run
learn_stateRead or update /learn state, decisions, and trash

Refs can be prefixed: claude:disaster recovery, grok:latest, codex: , cursor:latest, opencode: , gemini:latest, agy: , copilot: .

CLI

magents list --live

magents list --agent grok --query edge magents get 'claude:disaster recovery' magents read grok:latest -n 20 magents digest grok:latest magents search "dedicated databases" --agent claude magents spawn codex --prompt-file /path/to/task.md --cwd /path/to/isolated-worktree magents send grok:latest "handoff: the DR runbook is in docs/RUNBOOK.md" magents handoff grok:latest --reason "continuing in grok" magents whoami magents learn estimate magents learn collect magents learn plan magents learn collect --since-last magents learn state

Pass --output json on any command for stable machine-readable stdout.

magents with no args on a piped stdin starts the MCP server.

magents spawn reads the complete task from stdin by default (--prompt-file supported). Prompt text is never a process argument.

How sessions talk

list_sessions / read_transcript / search_transcripts / search_memories are the handoff. create_memory writes into another harness's first-party memory (Claude, Codex, or Grok).

Choose the write path by where the work should happen:

  • `spawn_session` - new, headless, persisted, independent session. Complete task, verification, reply-through-magents, isolated cwd when edits could collide. Success means launch accepted (accepted: true, status: "starting"), not that the task finished.
  • `send_message` - existing session. Always records mailbox mail; injects a live user turn where the host supports one.
  • `handoff` - compact this session into an existing live session so that session continues the same work.
Delivery routes (existing chats)

send_message always appends to the mailbox, then prefers a native live path and otherwise starts a supervised headless resume:

SurfaceDelivery route
Claude DesktopUDS user turn (/tmp/cc-socks/ .sock), then tmux or supervised claude -p --verbose --resume
Claude CLIUDS when available, then tmux or supervised resume
GrokSupervised grok --cwd --resume --output-format streaming-json --prompt-file /dev/stdin
Codex Desktop / VS CodeLength-prefixed JSON-RPC on ~/.codex/ipc/ipc.sock, then supervised codex exec ... resume
Codex CLISupervised codex exec --json -C resume -
CursorSupervised cursor-agent -p --output-format stream-json --resume --workspace
OpenCodeSupervised opencode run --format json --session , started in the session cwd (with PWD set)
Gemini CLISupervised gemini --resume --output-format stream-json
AGY CLI / AntigravitySupervised agy --input-format stream-json --output-format stream-json --conversation
GitHub Copilot CLISupervised copilot --resume= --output-format json

Supervised routes pass the user turn through stdin and do not expose transcript text, tokens, or raw host output in the response. Spawn never adds approval bypasses (--dangerously-skip-permissions, --yolo, --full-auto, etc.).

Session discovery sources: Claude ~/.claude and ~/.claude-* (plus Desktop Claude / Claude-* session dirs), Grok ~/.grok/active_sessions.json, Codex sqlite + rollout JSONL, Cursor agent-transcripts, OpenCode SQLite (opencode.db and channel databases, v1 session and v2 session_v2 / session_message tables), Gemini journals, AGY CLI conversations / brain plus Antigravity desktop conversation_summaries, Copilot session-state. Claude sessions include a profile field when they come from a named home (work for ~/.claude-work). Resume and live inject use that home's CLAUDE_CONFIG_DIR.

Tests

cargo test --locked --all-targets

cargo llvm-cov --locked --all-targets --ignore-filename-regex 'src/main.rs|/rustlib/' --fail-under-lines 98

CI runs format, clippy (-D warnings), the full test suite, and a 98% line-coverage gate.

Requirements

  • Rust 1.97+
  • macOS or Linux (Claude UDS inject is Unix-only)

License

MIT

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