by shamspias · Agent Tool · ★ 90
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Reins A lightweight agent harness you bolt onto your app so an LLM can operate it — safely and cheaply. Point Reins at functions you already have — or your ORM models — and hand it a goal in plain language. It works out which of your operations to call and in what order, runs them through your own code (never raw SQL by default), and returns the result, with near-zero token overhead and safe-by-default writes. There is no graph to draw: you expose your app, and the agent operates it. The wedge: Reins gives the model your verbs, not your tables. Intent-named functions like carry the meaning that raw schemas and OpenAPI specs strip away — which is exactly where text-to-SQL and auto-generated tool layers lose their reliability. Example python from reins import Agent, capability @capability def findorders(status: str) - list[dict]: """Find orders by their current status.""" return store.orders(status=status) # your existing code @capability def refundorder(orderid: int) - dict: """Refund a customer's order by its public order number.""" return payments.refund(orderid) # your existing code agent = Agent(capabilities=[findorders, refundorder])
| Stars | 90 |
| Forks | 15 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.2836127275162/100 |
| Last Updated | 2026-07-01 |
| Created | 2023-04-09 |
| Platforms | python |
| Est. Tokens | ~5k |
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reins is A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.. It is categorized as a Agent Tool with 90 GitHub stars.
reins is primarily written in Python. It covers topics such as agent-framework, agent-harness, agent-memory.
You can find installation instructions and usage details in the reins GitHub repository at github.com/shamspias/reins. The project has 90 stars and 15 forks, indicating an active community.
reins is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to reins on Agent Skills Hub include LLM-Agent-Harness-Survey, awesome-azure-openai-llm, omnicoreagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.