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Compare/AiderDesk vs Trae

AiderDeskvsTrae

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

AiderDesk
Hotovo · AI-native IDE
#42OSSMCP
Panel
6.8
4 spec wins
Reliability
6.7
Usefulness
7.0
Cost
7.8
Longevity
5.7

“It began as a graphical front end for a terminal program and now ships a headless mode, which closes the circle nicely.”

Trae
ByteDance · AI-native IDE
#79MCP
Panel
5.9
2 spec wins
Reliability
5.3
Usefulness
6.2
Cost
6.5
Longevity
5.5

“The $3 Lite plan is the cheapest seat on this board, courtesy of a parent company that never needed you to pay for anything.”

Spec by spec

SpecAiderDeskTrae
Architecture
CategoryAI-native IDEAI-native IDE
Runslocallocal, cloud
Platformsmacos, linux, windows, webmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlNoYesAI can drive TraeCode's built-in browser tab - opening pages, clicking, filling forms and validating rendering - or an external Chrome instance, once enabled under Settings > Browser (https://docs.trae.ai/ide/browser-use). The built-in Chat agent cannot control the browser.
Sandboxed executionNoDocker is documented as a way to run AiderDesk itself; task isolation is done with git worktrees, not containers. YesAgent commands run in a restricted, isolated environment with per-project filesystem and network policy in ~/.trae/sandbox.json; Linux isolation is implemented via bubblewrap, and allowlisted command prefixes deliberately bypass the sandbox.
Multi-agent orchestrationYesYes
Headless / CI modeYesThrough an npm headless mode and the REST API. NoConfirmed false: Trae ships only the desktop IDE; no CLI, print/exec mode or CI runner appears anywhere in the documentation index.
Models
BackboneOpenAI, Anthropic, Gemini, DeepSeek, Groq, Mistral, Amazon Bedrock, Azure OpenAI, Cerebras, OpenRouter, LiteLLM, Ollama, LM StudioGemini, GPT, DeepSeek
Bring your own modelYesYes
Local modelsYesYesThe custom-model flow accepts an arbitrary API format, request URL and key, so any self-hosted OpenAI- or Anthropic-compatible endpoint works alongside the preset providers.
Cost
Pricing modelbyokmixed
Starts at$0/mo$3/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesNo
LicenseApache-2.0proprietary
GitHub stars1,448n/a

Which one would each critic pick

CriticAiderDeskTraePick
El Juez——not enough reviews
El Amigo7.56.8AiderDesk — Pick it if you liked Aider but wanted to see the work; pick Aider itself if the terminal was never the part that bothered you.
El Crítico6.55.8AiderDesk — One vendor maintains subagents, agent profiles, a vector context engine, MCP in both directions, a REST API and thirty model providers, and the shell runs on your machine.
El Profesor6.55.5AiderDesk — Context is assembled by a vector index combined with a repository map, a defensible hybrid; no evaluation is published, and the docs defer rather than measure.
La Inversora5.85.8no preference
La Jefa6.35.5AiderDesk — Free for sixty, and the REST API means it can be scripted, but there is no SSO, no audit log, and the browser UI is something we would have to host ourselves.
El Hacker8.36.0AiderDesk — Apache-2.0, my keys, and a provider list that ends in Ollama and LM Studio, so the whole thing runs on the box under my desk.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.