7 best tools for AI policy enforcement at scale (2026)
Writing an AI policy takes a week. Making it hold on the ten-thousandth agent call, in a cloud account nobody on the governance team has...
Opencontroller by lyzr Blog9 min read
LangGraph
104 stories
From Delegation to Collaboration: Inside Qodo’s Dark Factory
TL;DR Agent-to-agent communication is becoming an important research area for AI companies. As agents grow more capable, their ability to communicate, plan, challenge one another, and work toward a shared objective may produce gains that cannot be achieved by improving each agent independently.
CodiumAI Blog12 min read
Hermes Agent Alternatives (2026): 6 Ranked by Setup Time
Looking for a Hermes Agent alternative? Six options compared on setup time, hosting, and cost, including when staying on Hermes is the better call.
BetterClaw Blog11 min read
The Best AI Agent Frameworks (2026)
Compare six open-source AI agent frameworks by language, workflow control, tools, and use case, including Mastra, LangGraph, CrewAI, and Pydantic AI.
Browser Use Blog9 min read
Agentic orchestration: Model makers are selling their own AI agent platforms, but only 2% of enterprises say the model was the main reason they chose one
For the August VB Pulse, VentureBeat Intelligence surveyed respondents from organizations with 100 or more employees. We asked which agent orchestration platforms they run and why, what they plan to adopt next, where they expect agent control to sit and how they stop runaway agent spending.Read more
VentureBeat AI22 min read
How Antigravity Evaluates a LangGraph Agent
Manual code tweaking isn't a testing strategy. Here is how to actually evaluate AI agents for production. For more information, check out the Agent Clinic episode linked below the title.
Google Cloud Tech
9 Best AI Agent Observability Tools in 2026
Compare 9 AI agent observability tools on what each shows for a multi-step run: handoffs, sessions, MCP calls, agent evaluators, framework support and hosting.
TestMu AI Blog25 min read
Spending Limits for LangGraph Agents That a Prompt Injection Can't Talk Past
Short answer: a spending limit written into a LangGraph agent's system prompt ("never spend more than $500") is a suggestion, not a control. Any text the agent reads, including a scraped invoice or an email, can contain a competing instruction, and the model has no way to know which one is…
Dev.to AI7 min read
Best Online GenAI Course for Developers and Working Professionals
Developers are skeptical by default, and that is a good thing when choosing a Gen-AI course. Here is a technical checklist to score any online GenAI course before you enrol. The scoring checklist Give each item 1 point. A strong course should score 10 or more out of 12.
Dev.to AI2 min read
What is a durable agent harness? Pi Durable, Pi 1.0 and the slot it takes in an agent stack
A durable harness commits every step of an agent run to storage, so a crash resumes mid-turn. What Pi Durable shipped on 1 October, and what is only claimed.
Stackness Blog10 min readBuilt My Own MCP Server in 80 Lines of Python. Now Claude Knows My Sales Pipeline.
A year ago I wrote about building a tiny AI agent that uses MCP tools. It’s still the most-read thing I’ve published.
Towards AI8 min read
Agents that forget where they are will repeat work forever — checkpointing is the save-point pattern you need — Checkpointing and Resume
I watched a research pipeline die at step nine of ten. Forty-three minutes of work, sixty sources fetched, four analyses complete, one synthesis in progress. The worker crashed—OOM, not a logic bug. When it came back, the orchestrator did what I'd told it to do: it started over.
Dev.to AI8 min read
Agent Frameworks Compared: Tool-Calling Schema Handling
OpenAI, Anthropic, and Google each use a different request and response shape for the same tool. Agent frameworks handle that difference in different places.
OpenRouter Blog15 min read
LangChain vs CrewAI: Orchestration Compared to OpenRouter-Native Routing
Multi-model orchestration is three layers. Workflow orchestration is planning, state, memory, and delegation, and LangGraph and CrewAI are built for it. Model routing is choosing a model per call and falling back when it fails, and provider routing is choosing which provider serves that model.
OpenRouter Blog15 min read
Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows
Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambient agents on Amazon Bedrock AgentCore using Amazon SQS, AWS Lambda, and Amazon DynamoDB, with a single ask_human tool…
AWS ML Blog31 min read
Introducing Agent Droplets: everything an agent needs, one price, one bill
Agent Droplets are available today for DigitalOcean Managed Agents in public preview. If you already run agents on Claude Code, Codex CLI, or OpenCode, point them at DigitalOcean and they can run on an Agent Droplet with minimal setup.
DigitalOcean Blog8 min read
AI Agent Monitoring: What to Watch When Agents Act
AI agent monitoring explained: tool calls, side effects, handoffs, cost and loops to watch, how to alert on drift, which tools help, and what monitoring misses.
TestMu AI Blog20 min read
Towards Spec-Driven Test Automation: Part 2
One run, and what it actually proves The post Towards Spec-Driven Test Automation: Part 2 appeared first on Towards Data Science.
Towards Data Science14 min read
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