Orchestrate multi-agent sessions with sandboxed tools and Neo4j memory.
npx skills add https://github.com/opensage-agent/opensage-adk --skill opensage-adk
Please help me install this Agent Skill. Skill: opensage-adk Source: https://github.com/opensage-agent/opensage-adk/tree/main Command: npx skills add https://github.com/opensage-agent/opensage-adk --skill opensage-adk
OpenSage-ADK removes the need for developers to manually architect agent topologies, toolsets, and memory structures by providing a scaffold that enables AI to synthesize these components dynamically at runtime.
Launch the OpenSage web interface for your agent directory by running the opensage web command with the path to your agent folder and your desired port.
High-intent search queries and answers about installing and using this skill.
Dynamic multi-agent orchestration allows AI to automatically synthesize agent topologies and toolsets at runtime. This framework provides a deterministic scaffold that creates, executes, and terminates sub-agents to handle complex engineering tasks without manual architecture.
Yes, Docker and Python 3.12 are required for sandboxed agent tools. The platform uses Docker for isolated environment execution and uv for environment management to ensure secure state management when dynamically writing and executing custom tools.
Graph-based memory management uses a Neo4j-backed system for long-horizon AI agents to store both short-term context and long-term cross-task data. This file-backed structure removes the need for developers to manually architect memory components.
The best way to manage sessions and sandboxes for tool-heavy AI agents is using a unified deterministic platform. This approach automatically handles state management and security by dynamically executing custom tools within isolated environments.
Yes, you can use Neo4j and LiteLLM with this multi-agent orchestration framework. Neo4j provides structured graph-based memory management, while LiteLLM supports the underlying model interactions for complex engineering tasks.
Your self-programming agent platform requires uv for environment management to ensure deterministic sandbox execution. Combined with Docker, it isolates dynamically written custom tools, guaranteeing secure state management and execution for long-horizon tasks.
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quanganh208Build modular AI agents with Google ADK Python for orchestration and multi-agent coordination.
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