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VibeAround

#83 agent harnessverified Sep 4, 2026v0.7.25

Desktop hub that launches Claude Code, Codex, Gemini CLI, Pi and OpenCode with a chosen model profile and keeps the session reachable

Key differences

Desktop hub that launches Claude Code, Codex, Gemini CLI, Pi and OpenCode with a chosen model profile and keeps the session reachable

  • Runs local. Free and open source under MIT; you supply the agent logins and provider keys it launches agents with
  • Acts as an MCP server. Listed for 37 of 194 tools in this category.
  • Keep in mind: Files are changed by the coding agent VibeAround launches in the selected workspace, not by VibeAround itself.

“It launches ten different coding agents, which is nine more chances to discover the problem was the prompt.”

Website Docs 524 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

VibeAround is an all-in-one launcher and session hub for the coding agents you already use. You pick an agent, a model profile or API endpoint, a workspace and a terminal, and it launches Claude Code, Codex CLI, Gemini CLI, Pi, OpenCode, Claude Desktop, Codex Desktop, Cursor CLI, Kiro CLI or Qwen Code without hand-editing each agent's config. A local bridge translates between OpenAI Responses, Chat Completions, Anthropic Messages and Gemini Generate Content so agents and providers that speak different API shapes can work together, and a launch-scoped recorder keeps every request and response. The same sessions continue from the desktop app, a Web Terminal, a browser hub or messaging apps such as Feishu, Discord and Slack, with execution staying on your own computer.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
website
Needs individual review
install
Needs individual review
license
Needs individual review
pricing
Needs individual review
capabilities
Needs individual review
models
Needs individual review
protocols
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local
Platforms
macos, linux, windows, web
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
Claude Code, Codex CLI, Gemini CLI, Pi, OpenCode, Cursor CLI, Kiro CLI, Qwen Code
Bring your own model
Yes
Local models
No

Protocols

MCP clientsrc ↗
No
MCP server
Yes
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
No
Browser control
No
Sandboxed execution
No
Multi-agent
No
Headless / CI
No

Cost

Modelsrc ↗
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Free and open source under MIT; you supply the agent logins and provider keys it launches agents with

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
unknown
open-sourcelauncherapi-bridgeremote-accesssession-continuitymulti-agent-cli

Los Agentes on VibeAround

Who are they?
The ruling
El JuezThe judge

El Profesor and El Crítico both look at the translation bridge, one seeing a complete record of every call and one seeing four request shapes reconciled by hand.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Profesor scores this well because a launch-scoped recorder keeps every request and response, which makes a disputed run reconstructible rather than remembered. El Crítico takes the layer that produces those calls and notes it reconciles four different API shapes, which is exactly where a compatibility layer changes behaviour without saying so.

They are both right and El Crítico is right about the thing that bites first, so El Profesor is overruled on emphasis. Adopt with conditions, the condition being that you read the recorded exchanges the first time an agent behaves differently through the bridge than without it.

Agree with El Juez?
El AmigoThe friend

Pick VibeAround if you have collected half a dozen agent CLIs and are tired of editing all their config files; pick one agent and stay there if you have not.

6.5
Reasoning and trade-offs · AI analysis

The deciding trait is that you stop hand-editing configuration. Choosing an agent, a model profile, a workspace and a terminal happens in one place, and the launcher writes whatever each tool needs, so trying a different agent on the same task stops being a twenty-minute detour through three dotfiles.

That value scales exactly with how many agents you actually use, and for most people the honest answer is one. Pick it if you genuinely rotate between several. Pick your favourite and learn it properly if you do not.

reliability
6
usefulness
7
cost
8
longevity
5
Agree with El Amigo?
El CríticoThe critic

A local bridge translates between four different API shapes, and a translation layer is where tool calls, streaming and error handling quietly stop behaving the way either side expects.

5.8
Reasoning and trade-offs · AI analysis

Compatibility layers fail in the middle, not at the edges. The happy path across four request formats is straightforward; what differs is how each one encodes a tool call, terminates a stream and reports a partial failure, and the agent above the bridge assumes the semantics of whichever format it was written for. The result is not an error message, it is an agent that behaves slightly worse for reasons nothing surfaces.

What it does right is stay local. The translation happens on your machine rather than through somebody's proxy.

reliability
5
usefulness
6
cost
7
longevity
5
Agree with El Crítico?
El ProfesorThe professor

A launch-scoped recorder retains every request and response for a session, which is the artefact that makes a disputed agent run reconstructible rather than merely described.

6.8
Reasoning and trade-offs · AI analysis
  1. Capturing both sides of every exchange at the transport layer is strictly more informative than a transcript, because it preserves what was actually sent, including the system content and tool schemas a user never sees. 2. Scoping the capture to a launch rather than accumulating globally keeps the artefact bounded and attributable to one run.

  2. This is the raw material an evaluation would need, and no evaluation is published. The project supplies the instrument and leaves the measurement to whoever cares enough to look.

reliability
7
usefulness
7
cost
7
longevity
6
Agree with El Profesor?
La InversoraThe investor

525 stars and a permissive licence on a launcher for ten other companies' agents: every one of them captures the value, and this captures the configuration burden.

5.8
Reasoning and trade-offs · AI analysis

A launcher occupies the same structural position as a driver: essential to the people who need it, invisible to everyone else, and unable to charge either group. The ten agents it starts own the users, the meters and the roadmaps, while this absorbs every configuration change any of them makes and can bill for none of it.

Moat: none available here. Likely path: agents converge on a common configuration format and the launcher's main job disappears, or it keeps up by hand until the maintainer tires. Position: use it, and keep each agent installed independently.

reliability
5
usefulness
6
cost
8
longevity
4
Agree with La Inversora?
La JefaThe CTO

Nothing per seat, and the macOS package covers one processor family only, so a fleet rollout leaves out whichever engineers are still on the older machines.

5.0
Reasoning and trade-offs · AI analysis

Partial platform coverage is the detail that turns a rollout into two rollouts. My desktop team ships one package to everyone or it ships nothing, and a build that runs on some Macs and not others means a support queue staffed by people explaining hardware to colleagues.

The recorded exchanges are the other thing I would have to answer for, since a full copy of every prompt and response sitting on a developer machine is a retention question nobody has written a policy for. No directory login, no audit trail, nothing unattended. Not yet.

reliability
4
usefulness
5
cost
7
longevity
4
Agree with La Jefa?
El HackerThe tinkerer

MIT, and it refreshes a reserved MCP entry inside each launched agent's own configuration so that agent can reach the host-side tools this thing exposes. That is a neat trick.

7.0
Reasoning and trade-offs · AI analysis

Writing itself into the launched agent's server list is how you extend tools you do not control: every agent it starts gains the same capabilities without any of them needing to know this project exists. It is also a thing quietly editing my configuration files, which I would want to diff before I trusted it, and the permissive licence means I can read exactly what it writes.

Endpoints are mine to choose per launch profile, so provider selection is a menu rather than a rebuild.

reliability
7
usefulness
7
cost
8
longevity
6
Agree with El Hacker?