SERAAi2
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fxVercel
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Related Products
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About
Open Coding Agents are a family of fully open, high-performance AI coding models and an associated training method released by the Allen Institute for AI that make building, customizing, and training coding agents on any repository remarkably accessible, affordable, and transparent; the platform includes models, code, training recipes, and tools that can be launched with minimal setup so users can tailor agents to their own codebases and engineering conventions for tasks like code generation, code review, debugging, maintenance, and code explanation. These agents break from the traditional closed, expensive systems by offering an open pipeline from models to training data and enabling fine-tuning on internal code to teach agents about organization-specific APIs, patterns, and workflows; the first release, SERA (Soft-verified Efficient Repository Agents), achieves state-of-the-art performance on coding benchmarks at a fraction of the typical compute cost.
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About
fx is a tiny, open, native coding agent harness and CLI written in Zig, optimized for research, performance, and embeddability as part of larger systems. Its design focuses on minimalism across the system prompt, tools, feature set, memory use, and a 6 MB binary, with an interface intended to feel closer to a Unix shell than a heavy terminal IDE. fx cold starts in microseconds and performs no unnecessary work or I/O before accepting input, making it suitable for programmatic use, resource-constrained environments, and agent sandboxes. Developers can start it inside a project and ask it to read files, search code, run commands, make changes, execute tests, and stream tool calls as they happen. The core is model- and provider-agnostic, supporting local models, gateways, direct provider access, and cloud inference. It is context-efficient by design, using a minimal system prompt and toolset to reduce token overhead and improve time to first token.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Software developers, research labs, and engineering teams wanting an AI coding assistant models that can be trained and adapted to any public or private codebase for generation, review, debugging, and maintenance tasks
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Audience
Developers and AI infrastructure builders in need of a solution to run or embed a lightweight, extensible, model-agnostic coding agent in terminals, applications, and automated systems
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAi2
Founded: 2014
United States
allenai.org/blog/open-coding-agents
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Company InformationVercel
Founded: 2015
United States
fx.sh/
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Categories |
Categories |
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Integrations
Claude Code
NVIDIA DRIVE
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