Results for “agent-component”

Interactive menu for browsing and composing agent teams on demand, supporting flat or domain-subdirectory agent collections.

Composes ad-hoc teams of AI agents from local markdown personas and dispatches them in parallel on a task, then synthesizes their outputs.

Orchestrates multi-agent project builds with persistent state, parallel execution, and atomic git commits.

Orchestrates three frontier models to debate a question and synthesizes their best insights into a single superior answer.

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.

Discovers, installs, and manages AI agent skills from agentskill.sh, including searching, installing mid-session, scanning for security issues, and providing feedback.

Build LLM-powered applications with modular components for chains, agents, memory, and retrieval, supporting Python and JavaScript frameworks.