llms.txt · git:20260824.6d915b2 · 2026-08-24 · sha256 f6ae861c7ffdec3f

llms.txt git:20260824.6d915b2A

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# AIDE Sovereign Workbench

> Offline-first, open-source development workbench: real code editor, local AI models, Git review, debugging, and optional online providers — without sending source code to the cloud.

## Key facts
- Two-process architecture: browser frontend (Monaco editor) + Node.js daemon on loopback (HTTP/WebSocket, ports 4173/4777).
- Cockpit orchestrator UI: Describe -> Plan -> Approve -> Build -> Verify; approval-gated agent loop with diff previews, live git-diff workbench, verification rail.
- Model Hub in-app: Hugging Face GGUF search, quantization listing, resumable downloads, one-click engine registration; local import by path.
- Harness scaffold v2.1: sized operating layer per model (micro for small contexts, full Code+Lens for strong budgets); byte-deterministic; 20-task effectiveness battery published in docs/evidence/.
- Backend auto-select: probes llama-server builds via --list-devices; Vulkan/CUDA/CPU chosen by operator profile > benchmark verdict > hardware heuristic.
- Local AI chat via llama.cpp OpenAI-compatible loopback; GGUF weights downloaded separately and SHA-256 verified; never bundled.
- LSP client for TypeScript; DAP client for Python/debugpy. Git via CLI. Tasks service with problem matchers.
- Online providers opt-in (OpenAI, Anthropic, Gemini, Mistral, Groq, OpenRouter); DPAPI-encrypted credentials; host allowlist.
- Veritas evidence gates: models never approve or apply their own changes.
- Verified continuously: 188 architecture tests, 17 e2e browser tests, 10/10 doctor preflight, plus unit batteries (facade 12, scaffold 5, agent loop 14+5).

## Links
- Repository: https://github.com/AnonymousNomad/aide-sovereign-workbench
- License: Apache-2.0 (LICENSE)
- Security: SECURITY.md
- Contributing: CONTRIBUTING.md
- Roadmap: docs/RELEASE_ROADMAP.md
- Research log: docs/RESEARCH_LOG.md
- Model packs: models/PACKS.md
- Benchmarks: benchmarks/
- Docs: docs/