A Rust library for adapting various language model APIs to a unified interface.
Abstractions and primitives for building agents and runtimes on top of llm_adapter.
Adapter implementations for Bob Agent Framework ports
SDK for interacting with various Large Language Model (LLM) APIs using a common interface
Context orchestration for AI development - captures and evolves patterns over time
Self-Optimizing Neural Architecture - Runtime-adaptive learning for LLM routers with two-tier LoRA, EWC++, and ReasoningBank
LLM provider adapters for OpenAI, Anthropic, Google, AWS, Azure
Cordance LLM adapters. Bounded candidate prose only. No hard rules from LLM.
Greentic Designer — orchestrator that powers Adaptive Card design via the adaptive-card-mcp toolkit
Greentic Flow Builder — orchestrator that powers Adaptive Card design via the adaptive-card-mcp toolkit
LLM provider adapters for swink-agent
Adaptive token optimization engine for LLM inference pipelines — compresses prompts, conversation history, tool schemas, and output streams to minimize token usage while preserving response quality.
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