uv
Official@midsphere-ai
Build AI employees to do your work autonomously from end to end.
Agent Skills by uv
Showing 15 vetted skills indexed across 1 GitHub repositories.
midsphere-aiexo:tools
Create and register Exo tools with @tool, FunctionTool, or Tool ABC.
midsphere-aiexo:ptc
Batch tool calls inside Exo agents to minimize LLM round-trips.
midsphere-aiexo:context
Configure agent context limits, overflow strategies, and caching for long-running conversations.
midsphere-aiexo:guardrails
Detect and block prompt injections for Exo agents with guardrails.
midsphere-aiexo:memory
Configure Exo agent memory backends with conversation_id scoping and embeddings.
midsphere-aiexo:agent-skills
Load Exo agent skills from local and GitHub sources via SkillRegistry.
midsphere-aiexo:mcp-cli
Manage MCP servers via CLI with vault integration and tool commands.
midsphere-aiexo:ralph
Orchestrate iterative refinement loops for autonomous agents using RalphRunner.
midsphere-aiexo:models
Configure LLM providers and models for Exo agents via ModelConfig.
midsphere-aiexo:streaming
Stream Exo agent output with event-rich telemetry for live dashboards.
midsphere-aiexo:testing
Test Exo agents, tools, and swarms with mock providers and pytest.
midsphere-aiexo:harness
Orchestrate event-driven agent workflows with custom harnesses and middleware.
midsphere-aiexo:hooks
Intercept Exo agent lifecycle events and runtime mutations via HookPoint registrations.
midsphere-aiexo:swarms
Coordinate multiple agents into unified workflows with SwarmNode and RalphNode.
midsphere-aiexo:spawn
Spawn parallel sub-agents with configurable depth and memory isolation.
Frequently Asked Questions About uv
FAQPage SchemaWhat specific tasks can be performed using the Exo framework?▼
The framework enables the creation of autonomous entities capable of iterative refinement, parallel sub-agent spawning, and event-driven task execution. It supports complex operations like batching function calls to reduce latency, managing long-term memory backends, and coordinating multi-agent swarms for unified, end-to-end processing.
Which technical personas are the primary target for this framework?▼
This framework is designed for systems engineers and developers building autonomous distributed systems. It targets professionals focused on high-reliability agent architectures, requiring granular control over lifecycle events, runtime guardrails, and complex state management across multi-node environments.
What are the prerequisites for deploying these agent architectures?▼
Deployment requires a configured environment capable of supporting ModelConfig for provider integration and SkillRegistry for loading local or remote capabilities. Users must define agent context limits, memory backends, and hook registrations to manage lifecycle events and runtime mutations effectively.