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Aider

Also known as: aider.chat, aider-chat, Aider-AI

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Entry priceFree / OSSFull pricing detail

Open-source, model-agnostic terminal coding agent that works directly against your git repo.

Aider is an open-source AI pair programming tool that runs entirely in your terminal and edits code directly in your local Git repository. Instead of replacing your editor, it works alongside your existing command-line and Git workflow: you add the files you want to change, describe the change in plain English, and Aider writes the edits across one or more files and commits each change to Git with a sensible, descriptive commit message. Because every edit is a normal Git commit, you can diff, review, undo, or revert anything the AI does using the Git tools you already use. A defining feature is its repository map, which uses tree-sitter parsing to build a PageRank-ranked index of your whole codebase - function signatures, class definitions, and cross-file references - so the model understands how a large project fits together without loading every file into context. Aider is fully model-agnostic: through LiteLLM it connects to almost any LLM, including Anthropic's Claude, OpenAI's GPT and o-series, DeepSeek, Google Gemini, xAI Grok, and local models run via Ollama, so you bring your own API key and switch providers based on cost or capability. Its Architect mode pairs an expensive reasoning model for planning with a cheaper model for the actual file edits to lower session cost. Beyond core editing, Aider supports 100+ programming languages, can lint and test code automatically and fix the problems it finds, accepts images and web pages as context, offers voice-to-code, and integrates with editors such as VS Code, JetBrains, Vim, and Emacs through its --watch mode and in-code 'AI?' comments. Created in 2023 by independent developer Paul Gauthier and released under the Apache 2.0 license, Aider has grown to 44,000+ GitHub stars and 6.8 million installs, and also maintains the widely cited Aider polyglot leaderboard for benchmarking how well LLMs edit code. It is free to use - the only cost is the token spend on whichever model provider you choose.

Vendor details

Canonical URL

https://aider.chat

Category

Coding agent

Subcategory

Coding — CLI agent (OSS)

Funding status

Independent open-source project; no external/VC funding disclosed.

Company status

independent

Use cases & customers

Primary use cases

AI pair programming in the terminalEditing and refactoring existing codebasesBuilding new projects from scratchMulti-file edits across a Git repositoryGit-native automatic commits and change historyRunning local or air-gapped models via Ollama for private codeArchitect mode: plan with one model, edit with a cheaper oneAdding features, fixing bugs, and writing tests from natural language

Target customers

Terminal-first developersEngineers who want to keep their existing Git workflowTeams running local models for privacy or air-gapped environmentsDevelopers who switch between LLM providers by cost or capabilityOpen-source and solo developers

Deployment options

Self-hosted CLILocal terminal (pip/Homebrew)Editor/IDE integration via --watch

Integrations

Connects to 100+ LLMs through LiteLLM - Claude, OpenAI GPT and o-series, DeepSeek, Gemini, xAI Grok, and local models via Ollama - with bring-your-own-API-key routing. Git-native (automatic commits, diff, undo). Editor-agnostic integration with VS Code, JetBrains, Vim, and Emacs via --watch mode and in-code 'AI?' comments. Installs via pip/pipx or Homebrew, supports 100+ programming languages, and can run your linters and test suites automatically.

In practice

You want AI editing your actual codebase, not pasting snippets from a chat window. Aider works in your terminal, edits files directly in your local Git repo, and commits each change with a descriptive message.

On a big codebase the AI loses track of how files connect. Aider builds a repository map with tree-sitter, so the model understands your project's structure without loading every file into context.

You don't want to be locked to one model's pricing. Aider is model-agnostic through LiteLLM, so you bring your own key and switch between Claude, GPT, Gemini, or a local model as cost dictates.

Agentic Index coverage score

6.5 / 14 capabilities · 46%

Integrations & Tool CallingAgent Features research report + JSON Feature Rubric Partial
Workflow OrchestrationAgent Features research report + JSON Feature Rubric Partial
Knowledge Grounding & RAGAgent Features research report + JSON Feature Rubric Partial
Human Oversight & GuardrailsAgent Features research report + JSON Feature Rubric Full
Security, Identity & GovernanceAgent Features research report + JSON Feature Rubric Unable to verify
Observability & AuditabilityAgent Features research report + JSON Feature Rubric Partial
Memory & State PersistenceAgent Features research report + JSON Feature Rubric Partial
Deployment & Data ResidencyAgent Features research report + JSON Feature Rubric Full
Prebuilt Agents, Templates & PacksAgent Features research report + JSON Feature Rubric Unable to verify
Triggers & Channel CoverageAgent Features research report + JSON Feature Rubric Unable to verify
Model Flexibility & RoutingAgent Features research report + JSON Feature Rubric Full
APIs, SDKs & MCP ExtensibilityAgent Features research report + JSON Feature Rubric Partial
Testing, Debugging & OptimizationAgent Features research report + JSON Feature Rubric Partial
Browser & Computer UseAgent Features research report + JSON Feature Rubric Unable to verify

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Free / OSS

usage

Free tier

What is public

Aider is 100% free and open source (a terminal CLI tool) with no subscription, paid tiers, or premium features. You bring your own LLM API key (Anthropic, OpenAI, OpenRouter, Google, xAI, DeepSeek, or local models via Ollama). The only cost is whatever your model provider charges per token.

Billing mechanics

There is no Aider billing — the tool is free. All cost is pass-through model-API token spend on whatever provider/model you route to. Aider is model-agnostic with explicit per-request model routing, so you control cost by choosing cheaper models (e.g., DeepSeek) or running local models for $0 inference.

Cost watchouts

Your LLM API bill is the real cost — roughly $10–$30/mo moderate use, $50–$200+/mo heavy; frontier models (Opus/GPT-5) cost far more than budget models; auto-commit-per-edit and codebase mapping add token overhead

Variable cost rationale

Pure pass-through token billing means spend is fully usage- and model-driven — zero subscription floor, but uncapped API exposure under heavy use

Additional watchouts

No managed offering, SLA, or markup to worry about — but you own all API-cost management and setup; model guidance lags 2026 frontier models

Sales call required

No, self serve available

Free / trial

Free (OSS self-host)

Commercial notes

Apache/MIT open source; runs locally in your repo with no vendor account; git-native (auto-commits each edit); release cadence slowed in 2026 (latest stable v0.86.2, Feb 2026)

Key ambiguities

Actual cost depends entirely on which model/provider you choose and usage volume — there's no Aider-set price to quote

Cancellation / refund

No contract or subscription — nothing to cancel; you manage billing directly with your model provider

Support SLA / resale

Community/open-source support (GitHub); no vendor SLA or enterprise tier

Missing data

Not applicable — there is no vendor pricing; cost is your own model-provider token spend

Agentic Index verified 2026-06-25

Alternatives to Aider

The closest documented capability profiles to Aider among coding agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • OpenCode7.5 / 14Adds documented Security, Identity & GovernanceAider vs OpenCode →
  • iGent7.0 / 14Adds documented Security, Identity & Governance
  • Compyle5.5 / 14Adds documented Triggers & Channel Coverage and Browser & Computer Use
  • Tabby5.5 / 14Adds documented Security, Identity & Governance and Triggers & Channel Coverage
  • Tabnine7.5 / 14Adds documented Security, Identity & Governance and Prebuilt Agents, Templates & Packs, among othersAider vs Tabnine →
  • Charm10.0 / 14Adds documented Security, Identity & Governance and Prebuilt Agents, Templates & PacksAider vs Charm →

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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