Tura
Tura is an open-source agent runtime focused on cutting LLM spending. It manages the context an agent sends to the model so tasks use far fewer tokens, while keeping the finished results, execution evidence and benchmark scores auditable, which makes it aimed at teams running agents at scale.
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About Tura
Tura is listed in our agent infra category and is aimed at builders. Tura is an open-source agent runtime focused on cutting LLM spending. It manages the context an agent sends to the model so tasks use far fewer tokens, while keeping the finished results, execution evidence and benchmark scores auditable, which makes it aimed at teams running agents at scale. Pricing, as the maker states it: Open source. Maturity: Active. We last checked the official link on 2026-10-24.
Tura at a glance
- Category: Agent infra
- Built for: Developers and teams building with AI agents
- Pricing: Open source (as the maker states it)
- GitHub: Tura-AI/tura · 656 stars (as of Oct 24, 2026)
- Official site: turaai.net
- Listed on AgentScout: Oct 24, 2026
Tura FAQ
What is Tura?
Tura is an open-source agent runtime focused on cutting LLM spending. It manages the context an agent sends to the model so tasks use far fewer tokens, while keeping the finished results, execution evidence and benchmark scores auditable, which makes it aimed at teams running agents at scale.
How much does Tura cost?
Tura's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Where can I find Tura's source code?
On GitHub at Tura-AI/tura, which had 656 stars as of Oct 24, 2026.
What are alternatives to Tura?
Similar tools include Manifest, Weave Router, System One API, BAND, Olares and TypeSafe Jev.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
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Tura alternatives
Other agent infra tools in our directory. See all agent infra tools →
Manifest
Open-source LLM gateway that routes each request from agents and apps to the right model across API keys, subscriptions and local models, with spend tracking.
Weave Router
An open-source LLM router for Claude Code, Codex and other coding agents that sends each request to the cheapest model that still meets your quality bar, cutting model spend.
System One API
System One API is the hosted decision API behind TypeSafe Jev, with an open-source TypeScript SDK for AI agents. Where the TypeSafe Jev listing covers the decision model itself, this listing covers the developer API and console: send text or app context and get back a typed choice, a score or a yes/no probability for routing tools, ranking results and checking conditions, with API keys, call logs and credit use managed in one place.
BAND
BAND is an interaction layer for teams running many AI agents alongside people. Agents and humans share one chat-like workspace where they coordinate tasks, exchange context and hand off work in real time, with governance over how agents communicate built in, instead of hand-wiring every handoff. BAND for Developers connects coding agents across your existing development tools so they can work together without you acting as their project manager.
Olares
Open-source personal cloud OS for running always-on agents at home.
TypeSafe Jev
Jev is TypeSafe's System One decision model, built for the small decisions inside software and agents. You send a state and typed questions (choice, score and more) and get typed answers with probabilities back instead of free-form text, so code can branch on them directly to route, classify, score or rank options. Agents can use it to settle narrow calls cheaply and save the larger LLM for open-ended work. Available through TypeSafe's API, Python and JavaScript SDKs, an agent skill, and OpenRouter.
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