Repositories
22
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readme:
DeepSeek Harness (`dsh`) is an open-source agent harness developed by DeepSeek AI.
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Harness² is a plug-and-play framework for **recursive agent harnessing** in an open world
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Anything a Bot does to a computer, a file, an MCP server or a component goes through one gateway that decides and records it.
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FrontierAgent is an open-source agent runtime, terminal product, and evaluation suite for long-horizon research and file-based work.
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AGH is an open-source agent harness built for Forward Deployed Engineering (FDE)
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RSI-Anything is a domain-general framework that turns world-model predictions and interaction feedback into recursive self-improvement.
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An embeddable, local-first C++17 agent runtime: turn input into validated tool execution, with deterministic skills before model inference.
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An external runtime failure management layer for LLM agents.
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Agent framework | Task-specific nodes with skills, prompts, and an internal plugin marketplace
description:
Build AI phone agents on your own computer and test every change with an AI caller.
Newest Admissions
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description:
A framework for building decision-model harnesses for any kind of task.
description:
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks
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RSI-Anything is a domain-general framework that turns world-model predictions and interaction feedback into recursive self-improvement.
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OAR (**O**pen **A**gent **R**untime) is a provider-independent programming interface for coding-agent runtimes
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Gear is an open-source optimization framework for improving AI agent performance on real-world tasks.
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Hermit is a framework for training, evaluating, and deploying harness adapters, with support for multiple harness evolution algorithms.
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Agent framework | Task-specific nodes with skills, prompts, and an internal plugin marketplace
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An embeddable, local-first C++17 agent runtime: turn input into validated tool execution, with deterministic skills before model inference.
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Agent loops, model providers, tools and memory are replaceable services.
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A PyTorch optimizer wrapper that lets a coding agent change the optimizer while your model trains.
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