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L-Forster / open-jet

An offline coding agent for local models. One command sets up the best model your GPU can run, and on 24 GB+ RTX 30/40/50-series cards Qwen3.8-27B runs up to 1.9x faster than llama.cpp.

Why this job: says: llama.cpp; topics: llama-cpp, ollama, local-llm, llm-inference, inference, inference-engine

What it does

Context on a 24 GB card: about 120K tokens, or about 234K with openjet setup --long-context (KV cache presets).

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 8 days ago
Stars
139
+8 this week
Licence
AGPL-3.0
Share-alike, even hosted
Downloads for
3 systems
Mac, Windows, Linux
Latest version
v0.5.4
Released 10 days ago
Built with
Python
63% of the code

Is it looked after?

Contributors
5
Last 90 days
Issues
78% closed
2 still open
Pull requests
18 merged
0 waiting
Releases
19
19 in the last year

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More: download files, languages, topics and project record

Download files, v0.5.4

  • Mac4 files, 11 downloads
  • Windows6 files, 30 downloads
  • Linux8 files, 56 downloads

All files on GitHub (opens in new tab)

Languages

  • Python 63%
  • Cuda 34%
  • C++ 2%
  • Shell <1%

Topics

  • agent
  • ai
  • ai-agents
  • claude-code
  • codex
  • coding-agent
  • cuda
  • inference
  • inference-engine
  • llama-cpp
  • llm
  • llm-inference

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits397
  • Forks16
  • Watching0
  • Stars in 28 days+54
  • CreatedFeb 16, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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