Agentic Index
Aider vs Trae (2026)
Both vendors last verified
Both are cheap ways to get an agent writing code and they suit different people. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Aider is free open source and model agnostic, working in the terminal directly against your git repository. Trae is ByteDance's AI native editor, a VS Code fork whose Builder and SOLO agents scaffold and ship projects from natural language, with free frontier model access. Aider assumes you are comfortable in a terminal and want control, and Trae assumes you want an editor that builds the project for you.
On the Agentic Index coding agent ranking, neither Aider nor Trae clears the bar, which asks for all five merge loop capabilities documented in full. Aider does not document integrations and tool calling in full; Trae does not document testing, debugging and optimization in full, nor observability and auditability. 3 of the 96 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Aider and Trae are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Aider if
- The terminal and direct git operation is how you want to work.
- Model agnostic and fully open source is your requirement.
- You want a tool that does one thing rather than an editor to migrate into.
Choose Trae if
- Free frontier model access is the offer, and it costs nothing to find out whether it fits.
- Scaffolding whole projects from a description is what you actually want.
- A VS Code fork is a familiar surface for a team already there.
| Feature | A Aider |
T Trae |
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| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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AiderIntegrations & Tool Calling The agent works through git, runs configurable lint and test commands, offers to run shell commands it suggests, scrapes web pages into the chat with /web, and takes image and voice input. There is no MCP client, plugin system or integration surface for external services. Sourceaider.chat/docs/config/options.html and usage/commands.html; aider.chat/docs/usage/commands.htmlread 2026-09-29 |
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TraeIntegrations & Tool Calling MCP servers plug into TraeCode agents over three transport types, and customers create and manage custom agents with their own skills, so agents take tools the customer adds. TraeWork calls on the right tools for each task and keeps all of a project's files in a single Workspace. TRAE's documentation lives at docs.trae.ai. SourceTRAE, trae.ai/solo and docs.trae.ai/ide/use-mcp-servers-in-agentsread 2026-10-06 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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AiderWorkflow Orchestration Architect mode hands a change from an architect model, which proposes it, to a separate editor model, which turns it into file edits. After edits aider lints and optionally tests, then tries to fix the errors whenever a command returns a non zero exit code, a condition built into the flow. Sourceaider.chat/docs/usage/modes.html and usage/lint-test.htmlread 2026-09-29 |
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TraeWorkflow Orchestration TraeWork takes a defined task, breaks it down on its own and calls the right tools to get it done, running multiple tasks simultaneously in the background. The tasks run in the cloud, with no local resource limits, so work carries on while the user is offline. TraeCode supports subagents beside custom agents, so work is split across agents. SourceTRAE, trae.ai/solo and docs.trae.ai/ide/subagentsread 2026-10-06 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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AiderTriggers & Channel Coverage Work starts from the person, through the interactive terminal chat, a one shot --message flag for scripts, and a watch mode that acts when the developer writes an AI! or AI? comment in any file. Nothing runs on a schedule, webhook or repository event. Sourceaider.chat/docs/usage/watch.html and scripting.htmlread 2026-09-29 |
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TraeTriggers & Channel Coverage Automation runs agent tasks at a fixed time or on a recurring interval, in the cloud or locally, with a run history, so work starts without a person invoking it. Scheduled tasks arrived with v3.6.0 on 8 October 2026. Sourcedocs.trae.ai/ide/automated-tasks and changelogread 2026-10-25 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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AiderKnowledge Grounding & RAG A repository map lists the repo's files with the key symbols each defines and their critical definition lines. A graph ranking over a file dependency graph selects the most relevant parts to fit a token budget set by --map-tokens. Read only reference files and scraped web pages can be added as further context. Sourceaider.chat/docs/repomap.htmlread 2026-09-29 |
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TraeKnowledge Grounding & RAG Automatic codebase indexing builds an index of the workspace and keeps it current as the code changes, with a manual rebuild, so the agent draws on a maintained index rather than gathering context per run. Whether the index persists between sessions is not stated outright. Sourcedocs.trae.ai/ide/codebase-indexingread 2026-10-25 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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AiderMemory & State Persistence The chat is written to .aider.chat.history.md, and --restore-chat-history reloads the prior conversation on launch so work can continue, which is state the agent writes and carries across sessions. There is no stated lifetime or purge path beyond clearing the chat. Git commits record the code's changes and do not serve as memory. Sourceaider.chat/docs/config/options.html and HISTORYread 2026-09-29 |
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TraeMemory & State Persistence Memories come in global and project scopes, stored at stated file paths on the user's machine. The AI creates and updates them as it works, and users can edit or delete any memory. Sourcedocs.trae.ai/ide/memoriesread 2026-10-25 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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AiderHuman Oversight & Guardrails Aider asks for confirmation before it runs a shell command it suggests, adds a file to the chat or fetches a URL. Bulk accept or reject covers a series of confirmations, and a --yes-always flag is off by default. In ask mode nothing is edited, and /undo reverts the last aider commit. Sourceaider.chat/HISTORY, docs/faq.html and config/options.html; aider.chat/history.htmlread 2026-09-29 |
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TraeHuman Oversight & Guardrails In Manual Approval mode TRAE shows an approval card before the agent touches files outside scope or runs dangerous commands, and a custom mode can require approval of MCP calls. Enterprises can also set org wide spending caps. Automatic Approval is not offered in the US. Sourcedocs.trae.ai/ide/permission-and-approvalread 2026-10-25 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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AiderSecurity, Identity & Governance As a local CLI, Aider has no hosted service, accounts or organization layer, so it offers and claims no SSO, role based access, audit logging or attestation. An .aiderignore file limits what enters the AI's context, and analytics can be switched off. Sourceaider.chat/docs/config/options.htmlread 2026-09-29 |
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TraeSecurity, Identity & Governance Access is governed by 'Role-based permission management to prevent unauthorized access', with member activity and tool usage visible across the organization. The product is also 'SOC 2 Type 2 certified', with zero retention of code and no model training on it. Sourcetrae.ai/enterpriseread 2026-09-29 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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AiderObservability & Auditability Every AI edit is committed to git with a generated message, so each change is a diffable record that /diff shows and /undo reverts. The session is written to a chat history file by default, with an option to log the full conversation with the LLM, and together these show what the agent changed and why. Sourceaider.chat/docs/usage.html and config/options.html; aider.chat/docs/config/options.htmlread 2026-09-29 |
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TraeObservability & Auditability Automated tasks keep a run history, and the enterprise console shows member activity, tool usage and spend across the organization in aggregate. No retained step by step record of what an agent did in each run is described. Sourcedocs.trae.ai/ide/automated-tasks and trae.ai/enterpriseread 2026-10-25 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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AiderDeployment & Data Residency Aider is an Apache 2.0 CLI that runs on the developer's own machine and edits the local git repository. It works with local models through Ollama or any OpenAI compatible local server, so code and inference can stay on the customer's hardware. Sourceaider.chat/docs/llms.html and github.com/Aider-AI/aiderread 2026-09-29 |
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TraeDeployment & Data Residency The enterprise offering is 'SaaS or VPC (coming soon)', so TRAE is sold as a hosted service and the VPC option is announced but not shipped. No hosting region is published. TraeWork runs its tasks in TRAE's cloud rather than on the user's machine. Sourcetrae.ai/enterpriseread 2026-09-29 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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AiderPrebuilt Agents, Templates & Packs An official Aider-AI conventions repository holds a community collection of ready made conventions files (Bash scripts, Flutter, functional programming, Go, Next.js with TypeScript and others), loaded with /read to steer the agent. These are guidance files, not prebuilt agents or task templates, and there is no further library. Sourceaider.chat/docs/usage/conventions.html and github.com/Aider-AI/conventionsread 2026-09-29 |
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TraePrebuilt Agents, Templates & Packs Customers install plugins that bundle MCP servers and skills from TRAE's Marketplace, and automations start from preset templates, beside the built in Builder agent and the customer's own agents. Sourcedocs.trae.ai/ide/marketplaceread 2026-10-25 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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AiderModel Flexibility & Routing On the customer's own keys, Aider connects to OpenAI, Anthropic, Gemini, Groq, xAI, Azure, Cohere, DeepSeek, OpenRouter, GitHub Copilot, Vertex AI, Amazon Bedrock and any OpenAI compatible API, plus local models through Ollama and LM Studio. Main, editor and weak models are set separately, and /model switches mid session. Sourceaider.chat/docs/llms.html and config/options.htmlread 2026-09-29 |
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TraeModel Flexibility & Routing The enterprise offer is to 'Access world-class frontier models or plug in your custom enterprise models', and TraeCode supports built in and custom models, so the customer picks the model. BytePlus explains how to bring its ModelArk models into TRAE. Sourcetrae.ai/enterpriseread 2026-09-29 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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AiderAPIs, SDKs & MCP Extensibility Scripting works from the command line with --message and from Python through the Coder class. The Python API is not officially supported or documented and may change without notice, and there is no HTTP API, SDK or MCP server. Sourceaider.chat/docs/scripting.htmlread 2026-09-29 |
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TraeAPIs, SDKs & MCP Extensibility Editor extensions and the MCP servers its agents call let TraeCode reach out to other tools. TRAE names no API or SDK for driving it from outside, and does not say how other systems could start or steer its agents. Sourcedocs.trae.ai/ide/manage-extensionsread 2026-09-29 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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AiderTesting, Debugging & Optimization The repository ships a benchmark harness with setup and run instructions. It measures how well aider and a chosen model turn coding requests into code that passes unit tests, with custom models and edit formats and a YAML report of pass rates, cost and timing. The project publishes its polyglot leaderboard of 225 exercises in six languages from it. Sourcegithub.com/Aider-AI/aider/benchmark and aider.chat/docs/leaderboards; github.com/aider-ai/aider/blob/main/benchmark/readme.mdread 2026-09-29 |
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TraeTesting, Debugging & Optimization TRAE describes no way for a customer to test or evaluate an agent's work before relying on it. It has published a benchmark of its own agent, which customers cannot run themselves. In TraeWork, users review each result in a live preview and request revisions. SourceTRAE, trae.ai/solo; docs.trae.airead 2026-10-06 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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AiderBrowser & Computer Use Aider edits files, runs shell commands and scrapes web pages into markdown with /web, but it does not drive a browser or operate software through a graphical interface. Sourceaider.chat/docs/usage/commands.htmlread 2026-09-29 |
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TraeBrowser & Computer Use Browser use lets the agent click and fill forms in TRAE's built in browser or a linked Chrome. The plain chat agent cannot use it. Sourcedocs.trae.ai/ide/browser-useread 2026-10-25 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Aider |
T Trae |
|---|---|---|
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Entry price Lowest public entry point |
Free. Open source under Apache 2.0, with no paid tier. | Free tier in Auto mode. Pro is $20 a month ($200 a year), Pro+ $60 and Ultra $200, each with a matching Dollar Usage allowance. Lite at $8 is sold only in selected countries, and existing subscribers keep their earlier prices. |
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Pricing confidence How public the numbers are |
Public, exact | Public, exact |
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Billing Primary billing axis |
Aider bills nothing. The only spend is model API token usage, paid directly to the chosen model provider. | Flat monthly or annual tiers, each carrying a Dollar Usage allowance equal to its price that model calls draw down at model specific rates, with pay as you go On-Demand Usage in $3 steps once the allowance is spent. |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
Free tier
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Free tier
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Buying motion Self-serve vs sales call |
Self-serve | Self-serve |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Trae
-
· Workflow orchestration
The Agent window, launched in TRAE v3.6.0, is a workspace for orchestrating multiple agents across projects from one window, with cloud tasks, scheduled tasks and one place to manage outputs such as code, documents, presentations, images and video.
Source -
· Integrations
Trae has integrated with the BytePlus ModelArk Coding Plan.
Source
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