Automatic Error Recovery in AI Agent Networks
AgentForge, an open-source framework, implements three recovery layers for multi-agent AI systems: automatic retries with exponential backoff, graceful degradation with cached fallbacks, and dynamic r…
AgentForge, an open-source framework, implements three recovery layers for multi-agent AI systems: automatic retries with exponential backoff, graceful degradation with cached fallbacks, and dynamic r…
The Linux of AI project has released a seven-tool open-source ecosystem designed to reduce vendor lock-in in AI systems, offering portable, inspectable, and governable infrastructure. The tools includ…
AgentForge, an open-source orchestration platform, addresses the common failure of multi-agent systems in production by enforcing typed contracts, circuit breakers, and observability. The platform run…
The AgentForge team introduced typed contracts for inter-agent communication to ensure reliable, deterministic behavior in multi-agent systems. The framework validates input and output schemas before …
AgentForge launched a set of 28 production-grade skills and workflows designed to make AI coding agents build reliable software by enforcing structured development processes used by senior engineers a…
The AgentForge team built an open-source monitoring stack for AI agents that goes beyond traditional log streaming, offering live execution views, state inspection, and per-agent performance metrics. …
The AgentForge team built an open-source multi-agent orchestration framework after six months of production deployment, revealing that failure modes multiply in multi-agent systems and must be designe…