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Latent Space20 min read
Multi-Agent Systems
438 stories
The 10 Best AI Agent Builders in 2026
Copilot Studio, Agentforce, Gemini Enterprise, n8n, Zapier Agents, Relevance AI, Lindy, Gumloop, CrewAI and Caddi, compared on who builds, runtime, pricing and fit for regulated back-office work.
Caddi Blog24 min readAutomating coherent long-form video generation
Recent advancements in video diffusion demonstrate remarkable high-fidelity generation with models that can render realistic scenes in seconds. However, while diffusion models generate high-fidelity video clips, transforming them into coherent long storytelling engines remains challenging.
Google Research Blog10 min readGPT-6 Sol and Luna: Near-Astra Performance at Half the Price?
What happens when a frontier model’s abilities get packed into cheaper, faster versions? That’s what OpenAI did with GPT-6 Sol and GPT-6 Luna, two new models built with methods similar to GPT-6 Astra.
Analytics Vidhya10 min readA Year of AI Agent Memory Experiments: Four Negative Results (2026)
We spent a year teaching an AI agent to remember. The headline feature returned null on 31 of 31 calls. What failed, why, and the two things that worked.
Taskade Blog19 min readHow I built agent-based security reviews on Databricks
We already had automation in parts of our security review process. It was useful,...
Databricks Blog10 min readAgent Handoff Explained: The Narrow Channel Between AI Agents (2026)
Multi-agent systems fail at the seams, not inside the agents. What a handoff carries, the five ways it breaks, and how to measure whether yours works.
Taskade Blog12 min readClaude Opus 5.5, the new default model for AINews — and everybody cuts prices 40-50%
OpenAI made a valiant effort with GPT-6 Sol and Luna launching 50% lower than GPT-5.6, but with 17M views on the launch and counting, today was always going to belong to Claude Opus 5.5, “the first model in our new Claude 5.5 family” performing like “Claude Fable 5.1 for most tasks, and costs 40%…
Latent Space18 min read65 agent frameworks you can copy, each with its source. Several of the best took a rule out of the prompt.
Spotify wrote its routing rules into CLAUDE.md and Claude could ignore them; a hook that blocks whole-file reads over 350 lines could not be ignored. 65 steps, templates and file formats, each with its source, sorted by what you are trying to build.
MakersClaw Blog21 min readWhat Is AI-Native? Architecture, Products, and Real-World Examples
A practical definition of AI-native, the architecture behind it, real examples, and a 10-point test for separating genuine AI-native products from AI add-ons.
Rerun Blog12 min readClaude Opus 5.5 Tested: What’s New and How Good is it?
What happens when an AI model gets better at reasoning, faster at responding, and cheaper to run at the same time? That is the promise behind Claude Opus 5.5, Anthropic’s latest flagship model and the first release in the Claude 5.5 family. Opus 5.5 brings several notable changes.
Analytics Vidhya9 min readJev Explained: The AI Model That Never Generates a Word of Text
If you follow trends in the AI world, chances are you have already come across Jev, a new AI model by TypeSafe AI. It is trending on X, and once you understand the reason behind it, you will want to try it out for yourself.
Analytics Vidhya9 min readWhy Read a Research Paper When You Can Turn It Into an AI Agent?
Have you ever read a paper in Science or Nature and thought, “Man, that research was so cool. I wish I could try that method on my own data,” only to spend a week wrestling with someone else’s undocumented repo, broken dependencies, and half-finished readme.txt?Well, now you can, more or less.Say…
IEEE Spectrum AI6 min readThe Complete Connectome Explained: What a Finished Brain Map Tells Us About AI Agents (2026)
Scientists have now mapped an entire animal nervous system, neuron by neuron. What the map shows, what it cannot show, and why AI builders should care about it.
Taskade Blog14 min readMeta opened Muse to outside connectors and hit No. 1 in a week. The agent's browser is still its weakest limb. Be the API it calls instead.
Today's haul: 16 tools · 19 resources · 23 reads · 19 numbers · 30 things that happened. Every tool, resource and read below has a working link. No link, no listing.
MakersClaw Blog20 min readMCP vs A2A: Key Differences, Architecture, and When to Use Each
Compare MCP vs A2A across architecture, discovery, task state, security, and use cases, then learn when to use MCP, A2A, both, or neither.
Rerun Blog11 min readMCP vs A2A vs ACP: The Three Protocols Every AI Agent Stack Needs
MCP connects agents to tools. A2A makes agents talk to each other. ACP connects them to editors. Three protocols, three layers — what each does, and when.
Zentask Blog5 min readJev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped…
Latent Space150 min read
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