A developer built Aura Memory, an open-source cognitive memory runtime that treats memory as a governed layer separate from the model, enabling AI agents to manage persistence, retrieval, lifecycle, a…
A developer provides a step-by-step guide to building AI agents that can plan, use tools, and complete multi-step tasks without constant human intervention. The tutorial covers popular frameworks like…
Octopoda, an open-source memory and observability layer for AI agents, launched with built-in persistent memory, loop detection, audit trails, and a live dashboard that runs locally via a single pip i…
A developer explains that multi-agent orchestration becomes necessary when a task naturally decomposes into sub-tasks requiring different context, tools, or roles. The post covers production patterns …
Dex Horthy, CEO and cofounder of HumanLayer, coined the term 'context engineering' and shared lessons from building AI agents, including that shipping unread code leads to disaster within months after…
LoopGain, an open-source cost controller for AI agent loops, replaces fixed max_iterations with a control-theoretic stop-and-rollback policy, achieving 92.8% less API spend and ~15× faster median wall…
This week highlighted the gap between building AI agents and running them safely in production, with supply-chain and trust-boundary failures in GitHub and Mastra alongside Microsoft's production-grad…
Amazon Bedrock AgentCore, which crossed 2 million SDK downloads in its first five months and reached general availability across core components in Q1 2026, is AWS's managed infrastructure platform fo…
A developer demonstrates how to build a simple AI agent using Claude Code in 30 minutes, focusing on a goal-tool-observation-decision loop without a framework. The walkthrough emphasizes the importanc…
A developer built Tracepath, an open-source middleware that makes AI agents auditable, traceable, and compliant with regulations like the EU AI Act and FINRA. The tool intercepts every tool call, sign…
A solo developer running brevio.news discovered that a hosted LLM API silently broke the product's weekly brief feature for four weeks after the provider retired a model ID. The developer fixed the is…
CrewAI, a production multi-agent framework with 5,000+ GitHub stars and 1,500+ company adoptions, offers role-based collaboration and async execution for building custom agent applications. The framew…
A developer built a multi-agent AI pipeline in pure Python without frameworks like CrewAI or AutoGen. The system uses five agents with distinct roles and system prompts, passing outputs sequentially. …
Runeward, an open-source governance layer for AI agents, provides isolated sandboxes with deny-by-default egress, tamper-evident audit ledgers, human-in-the-loop policy gates, and cost guardrails. It …
A developer created an open-source Python library called agent-cost-guardrails to prevent AI agent cost blowups. The library hooks into frameworks like CrewAI and AutoGen to enforce hard budget limits…
A guide explains how to build a semantic memory system for AI agents using local vector databases and embedding pipelines, drawing on lessons from the Hermes Agent experiment. The system comprises thr…
Octochains, a zero-dependency Python framework for parallel, isolated multi-agent reasoning and consensus, has been released. It executes domain specialists in parallel isolated threads to prevent cog…
A developer building an open-source AI agent runtime called AgentProof argues that trust in autonomous systems requires full observability and evaluation, demonstrating how a flight recorder revealed …
A developer explains that AI agents are fundamentally simple while loops that call an LLM, check for tool requests, execute them, and feed results back until the LLM can answer. The article demonstrat…
Dibi8 launched an open-source AI tools directory supporting four languages, featuring curated and ranked lists of AI coding agents, LLM frameworks, and developer utilities. The platform includes trend…