Selfware: Rust-based local AI agent framework with PDVR architecture
Selfware is an open-source AI agent framework specifically optimized for local inference, built to handle complex, multi-step engineering tasks autonomously without relying on centralized APIs.
Core Architecture
The framework implements a strict PDVR (Plan, Do, Verify, Report) cognitive cycle and is built completely in Rust for memory safety and bare-metal performance. The project has transitioned into a formal charity to focus on privacy and open-source preservation rather than commercial API extraction.
Key Features
- Supports 54 local tools out of the box
- Designed around a "4-hour patience" configuration to allow slower, highly complex inference to run reliably overnight on consumer hardware without timing out
- Built for local inference to combat the convenience of centralized APIs
Current Status and Community
The creator is seeking codebase reviews, particularly regarding context management and multi-model routing on limited VRAM. The project is organizing IRL meetups including a hands-on technical workshop in NYC and a privacy/policy discussion in DC.
For developers working with local AI models, this framework addresses the challenge of running complex agent workflows without cloud dependencies. The PDVR architecture provides a structured approach to multi-step tasks, while the Rust implementation offers performance benefits for resource-constrained environments.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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