Live debugger for AI agents — attach to a running Python agent, watch it as a graph, and pause/resume/inject at LLM and tool boundaries.
Artificial intelligence is reshaping campus hiring as employers increasingly adopt it. Organizations are boosting recruitment budgets and strengthening internship programs for talent. AI integration is redefining campus readiness and driving demand for new sk…
The Babel that lets AI agents understand each other: a neutral layer where heterogeneous agents (callables, HTTP/OpenAPI, MCP, framework agents, LLMs) share one interface, collaborate (A2A), and get graded at each hop.
Production-ready evaluation framework for AI agents — 58 metrics (25 native + 33 Harness Config) across 7 evaluation gates: goal achievement, behavioral integrity, reliability, performance, security, multi-agent coordination, and observability
The Babel that lets AI agents understand each other: a neutral layer where heterogeneous agents (callables, HTTP/OpenAPI, MCP, framework agents, LLMs) share one interface, collaborate (A2A), and get graded at each hop.
