by allenai · Agent Tool · ★ 231
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Ai2 Soft-Verified Efficient Repository Agents (SERA) Claude Code Proxy This repo allows Claude Code to be used with the Ai2 Open Coding Agents SERA model. You will need Claude Code and uv installed to set up the SERA CLI. For more information about Open Coding Agents and SERA, see: sera-cli Demo on YouTube SERA Data Generation and Training Code SERA Technical Report Ai2 Open Coding Agents Blog Post Ai2 Open Coding Agents Hugging Face Collection Quick Start with Modal The fastest way to try SERA is with Modal, which handles GPU provisioning, vLLM deployment, and downloading the model automatically. This takes 10m for the first run as 65GB of model weights are downloaded. Subsequent runs will cache the model and start up faster. When you exit Claude Code, the Modal app will automatically get cleaned up. bash Install modal and sera globally uv tool install modal uv tool install ai2-sera-cli Setup modal (this will prompt you to set up an account) modal setup Deploy SERA to Modal and launch Claude Code this uses allenai/SERA-32B by default sera --modal Use the allenai/SERA-8B model. Non-SERA
| Stars | 231 |
| Forks | 23 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 72.7882139043824/100 |
| Last Updated | 2026-03-06 |
| Created | 2026-01-23 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~48k |
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sera-cli is A tool to use the Ai2 Open Coding Agents Soft-Verified Efficient Repository Agents (SERA) model with Claude Code. It is categorized as a Agent Tool with 231 GitHub stars.
sera-cli is primarily written in Python.
You can find installation instructions and usage details in the sera-cli GitHub repository at github.com/allenai/sera-cli. The project has 231 stars and 23 forks, indicating an active community.
sera-cli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sera-cli on Agent Skills Hub include claude-forge, excalidraw-diagram-skill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.