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Use Claude Code, Codex and Pi for free from your terminal, app, IDE, or phone like OpenClaw (voice supported)
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
100
review score
Problem solved
This framework solves the problem of vendor lock-in and subscription costs for AI coding agents by allowing users to route traffic to any compatible provider, including free or local models. It also unifies multiple agents (Claude Code, Codex, Pi) under one proxy, enabling a consistent workflow and reducing the need for multiple paid subscriptions.
Deployment reality
The available setup signal starts with: curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build custom AI coding workflows that leverage the full power of Claude Code, Codex, and Pi without being tied to a single provider. They can switch between 31+ cloud and local providers, use native model pickers, and even interact with agents via voice through Discord/Telegram. The ceiling includes creating a fully self-hosted, privacy-preserving AI development environment with granular model routing and fallback strategies.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
Alishahryar1/free-claude-code is tracked as a Python project in the AI Agent, UI Framework, Infrastructure area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 44k total stars, with +278 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 19 days ago, and the open issue queue is 342, about 0.78% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 7.3k forks and 44k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need Python teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 278. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
44k Stars
Reuse
7.3k Forks
Attention
44k Watchers
Maintenance
active
License
MIT
Open issues
342
Free Claude Code is a local proxy that lets you run Claude Code, Codex, and Pi coding agents with your own provider-backed models, including free, paid, or local options. It provides a unified Admin UI to configure and validate providers, and integrates with native model pickers and IDE extensions.
Key Features
- Supports multiple coding agents (Claude Code, Codex, Pi) with a unified proxy. - Switch among 31 cloud and local providers from an Admin UI. - Native model picker integration and optional Discord/Telegram support.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
UI Framework
Frontend frameworks, design systems, and interface libraries
Infrastructure
Cloud, deployment, networking, containers, and platform tooling
curl -fsSL "https://raw.githubusercontent.com/Alishahryar1/free-claude-code/main/scripts/install.sh" | sh90
Health Score
Active
Commit Activity
Jan 28, 2026
Created
Aug 3, 2026
Last push
+0
Today's growth
+0
7-day growth
+0
30-day growth
Forks
Open
Watchers
Alishahryar1
GitHub profilepublic-apis/public-apis
A collective list of free APIs
EbookFoundation/free-programming-books
:books: Freely available programming books
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
vinta/awesome-python
An opinionated list of Python frameworks, libraries, tools, and resources
practical-tutorials/project-based-learning
Curated list of project-based tutorials
✓
License
✓
Forked
✓ Active
Maintained
Problem Solved
This framework solves the problem of vendor lock-in and subscription costs for AI coding agents by allowing users to route traffic to any compatible provider, including free or local models. It also unifies multiple agents (Claude Code, Codex, Pi) under one proxy, enabling a consistent workflow and reducing the need for multiple paid subscriptions.
Capabilities
Developers can build custom AI coding workflows that leverage the full power of Claude Code, Codex, and Pi without being tied to a single provider. They can switch between 31+ cloud and local providers, use native model pickers, and even interact with agents via voice through Discord/Telegram. The ceiling includes creating a fully self-hosted, privacy-preserving AI development environment with granular model routing and fallback strategies.
Bottom Line
This framework is ideal for developers who want to maximize flexibility and minimize costs when using AI coding agents, especially those comfortable with self-hosting and provider management. It should be avoided by those who prefer official support and guaranteed performance, as the trade-off is potential instability, ethical gray areas, and the need for technical setup.