loki-mode (asklokesh/loki-mode) is an open-source AI project on GitHub. Repository summary: Multi-agent autonomous SDLC framework. Spec to deployed app. PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief. 5 AI providers, 11 quality gates. Its focus includes multi-agent orchestration, developer-centric engineering workflows, workflow automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Other
Stars
946
Homepage
https://www.autonomi.dev/Features
- Core capability: Multi-agent autonomous SDLC framework. Spec to deployed app. PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief. 5 AI providers, 11 quality gates.
- Supports multi-agent coordination and task decomposition
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Repository: asklokesh/loki-mode
- Primary language: Python
Use Cases
- Used for decomposing and running complex tasks in parallel
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with loki-mode
- Validate loki-mode in production-like engineering scenarios
- Building AI development workflows
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/asklokesh/loki-mode. Community traction is around 939 stars. License: Other.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for decomposing and running complex tasks in parallel, Supports AI engineering build-and-iterate workflows for dev teams, Used for cross-system process automation and operations efficiency.
