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Compare/Adnify vs Trae

AdnifyvsTrae

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

Adnify
adnaan · AI-native IDE
#170MCP
Panel
5.9
1 spec wins
Reliability
5.7
Usefulness
6.3
Cost
6.8
Longevity
4.7

“It detects your dev server and opens it in a protected webview tab, so the agent can admire the thing it just broke.”

Trae
ByteDance · AI-native IDE
#79MCP
Panel
5.9
1 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

SpecAdnifyTrae
Architecture
CategoryAI-native IDEAI-native IDE
Runslocallocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesThrough web search, URL reading and a built-in local app preview that detects dev servers and opens them in protected Webview tabs. YesAI 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 executionNoYesAgent 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 orchestrationYesPlan Mode schedules isolated task threads with bounded concurrency and per-task role and model selection. Yes
Headless / CI modeNoNoConfirmed false: Trae ships only the desktop IDE; no CLI, print/exec mode or CI runner appears anywhere in the documentation index.
Models
BackboneOpenAI, Anthropic, Google, DeepSeek, OllamaGemini, 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 sourceNoNo
LicenseAdnify Software License Agreementproprietary
GitHub stars301n/a

Which one would each critic pick

CriticAdnifyTraePick
El Juez——not enough reviews
El Amigo6.56.8Trae — Try Trae if you are price sensitive and building personal projects; think twice if your employer will ask where the prompts go, because the vendor is ByteDance.
El Crítico6.05.8Adnify — Git operations are gated by a subcommand whitelist and terminal execution runs straight on the host, so the blast radius of a bad tool call is your machine.
El Profesor6.85.5Adnify — Context comes from an LSP layer and a LanceDB index over the codebase, and Plan Mode terminates in an explicit result-validation step rather than a summary.
La Inversora5.35.8Trae — A $3 Lite tier from ByteDance is subsidized distribution, not a business, and the buyer's risk is geopolitical rather than financial.
La Jefa4.55.5Trae — Enterprise means contacting BytePlus, the pricing page lists no SSO or audit log, and the security questionnaire's first question is where the prompts go; not yet.
El Hacker6.36.0Adnify — Ollama sits beside the hosted providers in the model router, MCP servers attach, and the source is readable; the licence is the part I cannot fork my way out of.

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

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