Awesome GitHub RepositoriesToken Cost Optimizations

DeepSeek-Reasonix is an autonomous software engineering framework and terminal-based AI IDE designed to coordinate large language models for complex programming tasks. It functions as a multi-session agent that utilizes a split planner and executor workflow to break down and implement technical objectives. The system distinguishes itself through a specialized focus on session optimization and extensibility. It employs prefix caching and append-only history to reduce token consumption and latency during long sessions. It further extends its capabilities by integrating external tool servers via

This project is an autonomous AI software development framework designed to plan, code, test, and commit software milestones without human intervention. It functions as a state-machine-driven agent loop that orchestrates development through a recurring cycle of research, execution, and verification. The system distinguishes itself through a git-isolated task runner that executes milestones in separate worktrees and branches, ensuring changes are squash-merged into a linear commit history. It features a multi-model routing gateway that assigns different LLM providers to specific workflow phase

OpenSquilla is an LLM agent orchestration framework designed to coordinate multi-step AI workflows and tool execution using directed acyclic graphs. It functions as a centralized system for managing specialized skill packages and executing complex reasoning sequences. The project distinguishes itself through a routing gateway that directs tasks to different AI providers based on complexity, cost, and performance. It utilizes a multi-tier AI memory system that organizes working, episodic, and semantic knowledge using local embeddings and SQLite, alongside a secure execution sandbox that isolat

Tempest is an orchestration platform designed for the execution and management of autonomous coding agents. It provides a framework for running multiple agents in parallel, coordinating their workflows, and maintaining persistent session states through a centralized management interface. The platform distinguishes itself through its focus on secure, isolated execution and intelligent context management. Each agent operates within a dedicated sandbox, utilizing ephemeral file systems and database copies to perform tasks without impacting production environments. To optimize performance and red