Databricks announced new capabilities for developing and deploying AI agents using its platform, integrating with LangGraph and MLFlow to enable agent-based systems that extend LLMs with custom tools …
A developer built an evaluation harness for AI agents to catch silent regressions and tool-call errors that manual testing misses. The harness uses four graders—Truth, Path, Judge, and Gate—to check t…
A developer built a fault-tolerant AI agent workflow using Temporal and CrewAI that survives process crashes, enforces retry policies, and blocks on human approval for unbounded periods. The reference…
Rightmodeler replays real agent traces through cheaper models, judges outputs against shipped versions, and shows cost-saving opportunities with evidence. The tool supports traces from Claude Code, Co…
Data scientists at companies running AI in production are shifting from building models to managing AI systems, according to 2025-2026 job data from LinkedIn, Lightcast, and Gartner. The role now focu…
A comprehensive resource hub for LLM frameworks has been published, featuring 107 tools including Cognee, LangChain, CrewAI, and AutoGen, with comparisons, benchmarks, and weekly trending GitHub repos…
A developer argues that 88% of AI agent pilots fail not due to model limitations but because of an infrastructure readiness gap, specifically the lack of a unified control plane for governance, observ…
Microsoft shipped agent-framework 1.0 on April 2, 2026, consolidating AutoGen and Semantic Kernel into a single package with stable APIs. The agent framework landscape has converged on MCP for tools a…
Billy, a self-hosted AI assistant that lives in Telegram, has been released. It runs locally via Ollama or in the cloud, uses Anthropic Claude as its brain, and can manage email, CRM, documents, and r…
Six AI agent SDKs—LangGraph, CrewAI, Google ADK, and others—are compared for enterprise Kubernetes deployment, with most being model-agnostic and containerizable for on-premise use, though Anthropic's…
LangGraph and LangChain, both from the same open-source lineage, offer different trade-offs for building data pipelines in 2026. LangGraph's graph abstraction excels with conditional branching, loops,…
CrewAI, AutoGen (now Microsoft Agent Framework), and LangGraph are Python frameworks for building multi-agent systems, while a multi-agent harness like Munder Difflin is a finished app that runs agent…
A comparison of AI agent frameworks LangChain, CrewAI, AutoGen, LlamaIndex, and LangGraph was published in June 2026, alongside a weekly roundup of trending open-source AI agent repositories on GitHub…
LangGraph, CrewAI, and OpenAI Agents SDK are among 10 agentic AI frameworks highlighted for 2026, offering developers tools for state management, multi-agent workflows, and tool integration. The list,…
A developer built a multi-agent architecture for automated curriculum production using LangGraph, splitting the pipeline into four specialized agents: Planner, Writer, QA, and Formatter. This approach…
Microsoft's Foundry Agent Service reaches general availability in July 2026, offering hosted AI agents with per-session VM-isolated sandboxes and scale-to-zero pricing. The service supports multiple a…
IT leaders face a governance crisis as 'shadow agents'—autonomous AI processes operating at the API layer without human oversight—proliferate in enterprises, driven by cost pressures and local AI mode…
SibFly packages NASA's OPERA Sentinel-1 InSAR satellite data into a single API call that returns measured ground motion for any US address, in mm/year. A LangChain agent can query the service in about…
A developer created a cheat sheet for deploying LangGraph agent servers, detailing how to package a LangGraph agent, run it locally with langgraph dev, deploy to LangSmith cloud, and stream it into a …
Amazon Web Services announced support for the AG-UI protocol on Amazon Bedrock AgentCore, enabling AI agents to render interactive charts, update shared canvases, and pause for human approval. The int…