Databricks now offers a managed agentic memory store built on Lakebase, letting developers configure memory with a few inputs instead of manually defining a traditional Postgres schema, as of Septembe…
A developer detailed the free, permissively licensed GitHub agent frameworks they run in production, naming LangGraph for deterministic branching workflows, CrewAI for role-based research crews, AutoG…
A retired technologist seeking to work around RAG-driven inaccuracies was advised to experiment with query clarification, also called ambiguity-aware RAG, using DSPy to define a "clarify or answer" mo…
A developer building the HivePlane agent control plane found that all three of their own previously built agents failed to import or run in the control-plane environment, and that LLM-dependent human-…
The founder of ByteFlow, a no-code platform for agentic applications, published a practical decision checklist for choosing between deterministic workflows and LLM-driven agents, arguing that most rea…
A new open-source policy enforcement gateway intercepts every AI agent tool call and validates it against a Pydantic schema, an OPA policy, a SPIFFE/SPIRE cryptographic workload identity, and an ImmuD…
A developer writing as miruky has proposed "Escalation Engineering," a design practice for specifying how an AI agent hands off control when its current model, tools, information or authority cannot c…
BAND connected its multi-agent collaboration platform to Docker Sandboxes on September 24th, letting a coding agent running beside a developer's local code communicate with hosted agents and people in…
A developer built a proactive metabolic health agent using LangGraph, the Dexcom CGM API, and OpenAI function calling that monitors continuous glucose readings and, when it detects an abnormal trend, …
DigitalOcean launched Managed Agents in public preview this week, packaging sandbox, inference, and data as a single runtime for AI agents on top of its existing Droplets, databases, and networking. T…
A developer released an agentic CUDA kernel optimizer on Hacker News' Show HN that uses LangGraph to autonomously generate, validate, benchmark, and refine GPU kernels, defaulting to OpenAI's gpt-5-mi…
Inboundr, a quotation-first B2B operations platform whose AI agent pipeline reads inbound RFQ emails from a connected Gmail inbox, classifies them, extracts line items, matches them against a PostgreS…
A developer built an agentic fraud investigation system on TigerGraph for the Hacker House Goa challenge, using a LangGraph agent that queries the graph through an MCP server while keeping all regulat…
A developer who built a six-agent customer support swarm using peer-to-peer handoffs found the system deadlocked in a forty-minute loop and produced contradictory answers with no errors or timeouts, c…
A developer built GraphSentinel, an agentic fraud-investigation and next-best-action system for the TigerGraph Agentic Fraud Investigation challenge. The system combines a graph store for structured e…
A team of developers built FraudLens, an autonomous GraphRAG fraud investigation and next-best-action agent that uses TigerGraph Savanna as its system of record, combining native GSQL algorithms with …
A developer demonstrates how to secure Model Context Protocol (MCP) servers by placing Kong AI Gateway 2.0 in front of them, arguing that most MCP servers run with no authentication, per-tool authoriz…
A team competing in the TigerGraph × Hacker House Goa challenge built FraudGraph Investigator, an AI-powered fraud investigation system that turns a flagged transaction into a structured investigation…
A two-person team built RAVEL, an autonomous forensic investigation workstation combining TigerGraph Cloud, compiled GSQL, FastAPI, LangGraph and Cytoscape.js, to detect coordinated payment fraud ring…
Three founders shipped production AI agents built on Claude Managed Agents in under two weeks, including a meeting-brief assistant with a second grading agent, a cross-account sales agent fleet called…