{"repo":"Tura-AI/tura","free":true,"listed":false,"github":"https://github.com/Tura-AI/tura","clone":"git clone https://github.com/Tura-AI/tura.git","description":"Build agent that uses 80% less token and delivers better results.","language":"Rust","stars":595,"topics":["agent","agentic-ai","coding-agent","context-engineering","developer-tools","developer-tools-ai-agent","harness-engineering","llm","terminal-based","token-optimization"],"license":"AGPL-3.0","category":"ai-agents","readme_excerpt":"English 简体中文 Tura: 16.7% better performance, 77.5% fewer tokens. Tura is an open-source agent runtime harness that delivers better results with fewer tokens. In a ReAct session, the model must re-enter after every tool result, repeatedly carrying the system prompt and a growing context. Tura turns the same task into one runtime-managed command graph, so deterministic execution continues without another model round trip. Tura executes in one turn the same workflow that a ReAct architecture needs five turns to complete. Across 20 DeepSWE v1.1 tasks, each run three times per agent, Tura creates a substantial token-budget advantage by reducing repeated context and model round trips. You can spend that advantage in two ways. Direct turns most of it into lower cost: 77.5% fewer aggregate tokens than Codex CLI, with a comparable verifier success rate of 65.0% versus 63.3%. Balanced puts more of the saved budget back into reasoning, investigation, and verification. It reached an 80.0% success rate: 16.7 percentage points higher than Codex CLI: while still using 31.1% fewer tokens.[^debug-figure][^debug-manifests] Benchmark Long-horizon task benchmarks are one way to look past a polished isolated prompt and see how an agent handles real work. The published comparison uses harness-based development tasks with archived prompts, per-round tool calls, token usage, patches, and verifier results. The published artifacts compare the named Tura Balanced, Tura Direct, and Codex CLI configurati","default_branch":null,"files":null,"tree":[],"storefront":"/r/Tura-AI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Tura-AI/tura/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}