Looped Agent Framework: single-file config agent framework
A framework for building and deploying single-purpose AI agents using a single YAML config file. It uses LLMs as the agent's reasoning core, with all permissions defined at config time for security, and runs natively in Docker for easy deployment. Aimed at developers who want to quickly create secure, portable agents.
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Agent framework where the agent is a single file
A lightweight agent framework that defines the entire agent logic in one file. It uses LLMs to power autonomous decision-making and tool use, simplifying development for builders who want minimal boilerplate.
AgentMaker: a new Python framework for building LLM agents and multi-agent systems
AgentMaker is a general-purpose Python framework for building LLM agents and multi-agent systems, featuring tools, memory, RAG, context engineering, guardrails, human-in-the-loop, and observability. It is released under MIT license on GitHub and PyPI.
Governed multi-agent execution platform with trading engine
Melaya is a platform for designing and executing governed multi-agent workflows, paired with a trading engine. It uses LLMs to orchestrate agents while ensuring security and compliance, targeting operators who need controlled agent execution.
Declarative, sandboxed language for tool orchestration with LLMs
Skillscript is a small, declarative language for defining fixed procedures that local agents execute consistently, avoiding LLM drift and token waste. It lets users write and version agent behaviors instead of relying on model guesses each time. Solves the problem of unreliable, costly agent task execution for developers building local AI agents.
Attestor: open-source zero-trust boundary for autonomous AI agents
Attestor is an open-source execution boundary that enforces zero-trust security for autonomous AI agents. It uses LLMs to define and enforce policies that restrict agent actions, preventing unauthorized access or data leaks. This solves the problem of safely deploying autonomous agents in production environments.