MIT-licensed Strata is a one-click Windows/Linux installer that serves Qwen3.8-Flash-Next behind OpenAI- and Anthropic-compatible APIs on localhost, so you can point Claude Code, Cursor, or Codex at it; the author measured 53–94 tokens/s on an RTX 5070 (12 GB) with 64 GB RAM. You need 32 GB+ RAM and about 80 GB of disk, and the PC can freeze for 1–3 minutes while the model loads.
Give pve agents a repo, a ref, and a task, and it clones a clean LXC template on your Proxmox host, starts a Claude Code agent inside, and streams the full transcript to your browser, where you also answer permission prompts. Workspaces run in parallel and stay off your workstation; review per file diffs, then push to the workspace's own branch or throw it all away…
Agensh drops the central orchestrator: each worker claims its own sub task, builds and tests it, and merges into a shared Git repo while posting findings to a shared board, all on top of a Copilot single agent harness with a 6 hour budget. On ProgramBench's five hardest tasks with GPT 5.6 sol, going from 1 to 128 agents lifted the mean test pass rate from 19.31% to 28.78%, and 1,024 agents pushed pandoc from 33.89% to 55.06%, though the paper doesn't report what large teams cost…
Ju Lin's MIT licensed Rio runs a task to completion with no chat or mid run steering, acting by patching Python, shell, and %%edit cells in a live Jupyter kernel instead of growing a conversation history. Install with uv tool install rio , log in to Anthropic, Codex, or GitHub Copilot, then rio run "Fix gh issue 123." or point it at a task.md…
Offrun runs the agent CLIs you already use (Claude Code, Codex, AGY, Grok Build) side by side on your own accounts, giving each agent its own git worktree, letting a second agent review diffs before commit, and moving a chat to another login when one hits its limit. It's free, needs an Apple Silicon Mac on macOS 14+, and says prompts go straight to your provider, never through its servers…
Benzi parses your repo with tree sitter into a resolved map of symbols, call edges, data flow, and inheritance, then has the model query it through 36 structured tools instead of reading raw files; it ships as a VS Code extension, a pip install benzi package, and an MCP server. Its authors report 391/500 on SWE bench Verified with DeepSeek v4 flash at pass@1 for $37.33 total, a self run result that includes a review pass, not just the index…
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