Categories / AI Code Assistants

Open Source AI Code Assistants Apps

Discover the best open source AI code assistants to boost your productivity! Automate tasks, generate code snippets & improve quality. Free and powerful tools.

36 apps available

Apps in AI Code Assistants

TypeScript
98%
Apache 2.0

Cline

AI Code Assistants

68,026

An open-source AI coding agent that lives in your editor and terminal — reads and edits your codebase, runs commands, browses the web, and requires human approval for every action by default.

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90
Repo Health
74
Technical
65
Dependency
Built with
TypeScript 98%
Updated 1 weeks ago
Rust
97%
Apache 2.0

codex

AI Code Assistants · Developer Tools

124,156

OpenAI's open-source CLI coding agent that reads, edits, and runs code in your terminal using natural language prompts.

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89
Repo Health
80
Technical
76
Dependency
Built with
Rust 97%
Updated 1 weeks ago
TypeScript
99%
Apache 2.0

Mastra Code

AI Code Assistants

28,044

"A coding agent that never compacts" — a terminal-based AI coding agent built on the Mastra framework, with Observational Memory instead of context compaction, multi-model support, and OAuth login for Claude Max or ChatGPT Plus.

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88
Repo Health
73
Technical
65
Dependency
Built with
TypeScript 99%
Updated 1 weeks ago
Apache 2.0

agent-orchestrator

AI Agents · AI Code Assistants · Developer Tools

12,144

A local desktop workspace that gives every coding task its own agent, Git branch, and worktree, then tracks tasks, pull requests, CI, and reviews for 27 coding agents on one live Kanban board.

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86
Repo Health
83
Technical
0
Dependency
TypeScript
99%
Apache 2.0

Codebuff

AI Code Assistants

12,078

An open-source AI coding assistant that coordinates specialized agents to edit your codebase from natural language — including Freebuff, a free, ad-supported version powered entirely by open-source models like DeepSeek and Kimi.

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85
Repo Health
71
Technical
67
Dependency
Built with
TypeScript 99%
Updated 1 weeks ago
TypeScript
98%
Apache 2.0

letta-code

AI Assistants · AI Code Assistants

3,341

A memory-first coding agent harness that learns from experience, maintains identity across models, and works across Claude, GPT, Gemini, and dozens more LLMs.

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85
Repo Health
84
Technical
74
Dependency
Built with
TypeScript 98%
Updated 1 weeks ago
TypeScript
85%
Apache 2.0

superset

AI Code Assistants · AI Development

14,209

Orchestrate an army of AI coding agents—Claude Code, Codex, Gemini CLI, and more—running simultaneously in isolated git worktrees from a single Electron desktop app.

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85
Repo Health
80
Technical
64
Dependency
Built with
TypeScript 85%
Updated 1 weeks ago
TypeScript
84%
Apache 2.0

Continue

AI Code Assistants · AI Development · Automation

35,905

Open-source coding agent for VS Code, JetBrains, and CLI with support for 30+ LLM providers.

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76
Repo Health
88
Technical
62
Dependency
Built with
TypeScript 84%
Updated 1 weeks ago
Rust
50%
Apache 2.0

Vibe Kanban

AI Agents · AI Code Assistants · Project Management

28,083

A kanban board for planning work and dispatching Claude Code, Codex, Gemini CLI, and eight other coding agents into isolated git worktrees, then reviewing and merging their diffs from one UI.

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63
Repo Health
75
Technical
64
Dependency
Built with
Rust 50%
TypeScript 46%
Updated 1 weeks ago
TypeScript
95%
Apache 2.0

Void

AI Code Assistants · Automation · Code Editors

28,800

Open-source AI code editor with direct LLM integration and data privacy

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46
Repo Health
84
Technical
68
Dependency
Built with
TypeScript 95%
Updated 3 months ago
Go
99%
Apache 2.0

Tusk

AI Code Assistants · Developer Tools · Devops

143

Record live API traffic and replay it as deterministic, sandboxed tests, plus AI code review and unit test generation, all from one Go CLI built by YC W2024's Use-Tusk.

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43
Repo Health
77
Technical
76
Dependency
Built with
Go 99%
Updated 3 months ago

About AI Code Assistants

AI Code Assistants are a rapidly evolving class of tools designed to enhance developer productivity and code quality. These applications utilize large language models (LLMs) trained on vast datasets of code to provide intelligent suggestions, automate repetitive tasks, and assist with debugging.

Typical features include:

  • Code Completion: Predicting and suggesting code snippets as you type, reducing boilerplate and accelerating development.
  • Code Generation: Automatically generating code from natural language prompts or comments, ideal for creating functions, tests, and documentation.
  • Code Explanation: Providing clear explanations of code blocks in plain English, aiding comprehension and onboarding.
  • Code Refactoring: Suggesting improvements to code structure, style, and performance based on best practices.
  • Bug Detection: Identifying potential errors and vulnerabilities in code, improving reliability and security.
  • Automated Testing: Generating unit tests to ensure code functionality and prevent regressions.

These tools address common pain points in software development such as tedious coding tasks, complex debugging sessions, and the need to quickly understand unfamiliar codebases. By automating repetitive processes and offering real-time assistance, AI Code Assistants empower developers to focus on higher-level problem solving and innovation. They also facilitate faster learning, improved code maintainability, and reduced risk of errors.

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