Junie Local on NVIDIA RTX Spark + stable Windows 24GB
At a glance
JetBrains Junie Local ships native support for NVIDIA RTX Spark (up to ~55 tok/s in early tests, auto-sized context, FP8 + speculative decoding) and moves Windows Ampere+ 24GB RTX from experimental to stable—free local coding agent with no token charges and code that never leaves the machine. This workflow is listed under local-agents, coding-agents, on-device, windows, learnable-paradigm.
AWS Labs open-source (5k+★): one harness-neutral core turns Claude Code/Codex/Cursor/Copilot/Kiro/opencode into structured, verifiable delivery workflows via `aidlc config --harness` + doctor—install script, not a new agent.
RAX (Robot Agent eXploration) lets a frozen LLM coding agent drive real robots via APIs, explore online, and compile successful perception–planning–control loops into reusable programs—no teleop demos or policy training; +37.4% avg vs baselines in sim; open skill libraries per embodiment.
US lab Reflection open-sourced Beam (501B MoE / 23B active, 1M context, Apache 2.0) for coding and long-horizon agents, with day-0 vLLM/SGLang/Transformers support, Mirror CLI harness, and 40+ inference partners including OpenRouter and Ollama.
SuperCompress v2 compresses context against the query (keeps answer-critical lines verbatim): ~64% mean cut on their B5 coding-agent suite with 24/24 evidence-retention passes; MCP/plugin for Cursor/Claude Code/Codex plus hosted API and open weights.