3,719 tools found
Skill for testing and benchmarking LLM agents - behavioral testing, capability assessment, reliability metrics, and production monitoring.
Python SDK reference for building persistent Azure AI Foundry agents with function tools, hosted code/search/MCP tools, threads, and structured outputs.
CLI tool for running multiple local agents in parallel tmux sessions, assigning tasks, tailing logs, and scheduling recurring work.
MCP server providing persistent, searchable memory for AI agents, with search, write, read, and stats tools plus a usage dashboard.
Covers agent memory architecture - semantic, episodic and procedural memory, vector store selection, chunking strategies, decay, and 7 sharp edges.
Four-phase workflow for systematically improving an existing agent: baseline metrics, prompt engineering, A/B testing, and staged rollout.
A skill for profiling and optimizing multi-agent systems - coordination, throughput, cost, latency, and context-window efficiency.
Skill for designing agent tools - JSON Schema, MCP tools, error handling, and parallel execution - since the LLM only sees the schema.
Guides discovery and comparison of autonomous AI agents via the AgentFolio directory, so you research the landscape before building your own.
Python skill for building container-based hosted agents in Azure AI Foundry via ImageBasedHostedAgentDefinition and the Projects SDK.
A 7-phase AI agent development workflow routing design, implementation, orchestration, tools, memory, and evaluation to sub-skills.
Expert guidance for designing autonomous AI agents: ReAct patterns, memory architectures, multi-agent orchestration, and failure modes.
