Blog

Cody CLI Now Remembers Your Project — Automatically

Automatic project memory with knowledge-graph recall, and code triggers that actually run — who it's for, what shipped, ...

Run Claude in Your Own AWS Account: Cody CLI Now Supports Amazon Bedrock

Cody CLI now runs Claude through Amazon Bedrock, so enterprise teams can use Claude inside their own AWS account and VPC...

Using OpenCode with AINative: Frontier and Open Models Through One Endpoint

How to point OpenCode at AINative to get Claude, GPT-4o, Kimi K3, GLM-5, DeepSeek, and 20+ models from one OpenAI-compat...

GPU Inference: Understanding the Real Cost and Speed of Running LLMs

What actually drives LLM inference cost and latency — utilization, batching, cold starts, TTFT vs throughput — and how t...

Cody CLI: The Claude Code Alternative That Runs Any Model

Looking for a Claude Code alternative? Cody CLI brings any model, persistent memory, and MCP-native tooling to your term...

Mem0 vs ZeroDB: Choosing an Agent Memory Layer

An honest comparison of Mem0 and ZeroDB for AI agent memory — architecture, what each includes, portability, and how to ...

RAG Databases Explained: The Retrieval Layer Behind Reliable AI

What a RAG database is, how retrieval-augmented generation actually works end to end, why hybrid search matters, and how...

How to Fix AI Agent Amnesia with Persistent Memory

Why AI agents forget everything between sessions — and how a persistent memory layer (store, recall, reflect) fixes it. ...

The Self-Hosted LLM Guide: When to Run Your Own Models (and When Not To)

A practical guide to self-hosting open-source LLMs — the real cost drivers, GPU options, when it pays off vs an API, and...

What Is a Vector Database? A Plain-English Guide for AI Developers

What a vector database is, how similarity search and embeddings work, when you need one, and how to get started in minut...

AINative vs Cursor: Which AI Coding Tool Is Right for You?

A candid, feature-by-feature comparison of AINative (Cody CLI) and Cursor — models, memory, MCP, pricing — to help you p...

What Is RLHF? A Practical Guide to Collecting Human Feedback for LLMs

RLHF — reinforcement learning from human feedback — is how models like ChatGPT and Claude were aligned. This practical g...

Zero-Trust Semantic Authorization: How AINative Stops Agents From Going Off-Task

AINative now verifies every agent tool call for both structural integrity and semantic intent — our production implement...

Your AI Agent Memory Is Now Portable: Introducing MIF in ZeroMemory

ZeroMemory now exports and imports agent memory in open formats — MIF and Vault-LD. Migrate from Mem0, Zep, or Letta, ex...

How AINative's Agent Architecture Maps to the 12 Factor Agents

The 12 Factor Agents framework (23K GitHub stars) defines production-grade principles for LLM agents. Here's how AINativ...

What is Agentic AI? The Shift from Generative to Autonomous Commerce

Agentic AI goes beyond generating text — it acts, decides, and completes goals. Learn how it differs from generative AI ...

The Infrastructure Stack Behind AI-Native Enterprises

15,000 AI Agents. 14,291 Tool Calls. The Largest Agent Swarm Ever Benchmarked.

Follow-up post to the 10K benchmark — largest agent swarm benchmarked at 15,000 concurrent agents with 14,291 tool calls...

ZeroMemory Scores 96.1% on LoCoMo — Beating Every Published AI Memory System

ZeroMemory achieves the highest published score on the LoCoMo benchmark (ACL 2024), outperforming MemMachine, Mem0, Zep,...

ZeroMemory Holds 100% Recall on LongMemEval V2 — Now With Open Llama 70B Instead of GPT-4o

We re-ran the LongMemEval benchmark against ZeroMemory with Llama 3.3 70B instead of GPT-4o. Result: 100% Recall@1, zero...

From Free Llama to Bare-Metal H100: Inside AINative's Inference Stack

Inside AINative's tiered inference stack: from free Llama 4 on serverless NIMs to dedicated H100 and MI300X clusters wit...

Sign in with AINative: Add OAuth 2.1 to Your App in 10 Minutes

Add "Sign in with AINative" to your app using OAuth 2.1 + PKCE. Register a client, redirect users to authorize, exchange...

How AI Agents Provision Their Own Infrastructure: A Deep Dive into Zero-Human MCP Onboarding

Agent self-provisioning in practice: MCP servers that create their own ZeroDB credentials on first run, no human in the ...

AI DevSummit 2026: Where the Agentic Era's Builders Actually Meet (+ 50 Free Passes for Our Community)

AINative Studio is partnering with DevNetwork to bring our community to AI DevSummit 2026. Claim one of 50 free Open Ses...

Two Agents, One Memory: A2A Networking and ZeroDB in Practice

Learn how to build a coordinated multi-agent system using Agent Cloud’s A2A routing and ZeroDB as a shared semantic memo...

ZeroDB Memory: Give Claude Code Persistent Memory Across Sessions

Every Claude Code session starts with a blank slate. ZeroDB Memory fixes that — auto-capturing what Claude learns and re...

Teach Your AI to Remember: A One-Hour Agent Memory Workshop

Learn how to give your AI agents long-term memory in just one hour using ZeroDB Cloud and MCP. No Docker, no coding requ...

ZeroDB for Non-Devs: A One-Hour Workshop for Founders, Creatives, and Operators

Stop starting over with every AI chat. Learn how to give your AI tools a persistent memory using ZeroDB in this one-hour...

Citizen Space Santa Cruz — A Builder Community Pop-Up

The Rise of the Agentic Deployment Expert: From Prompt Engineering to Production AI

The bottleneck has shifted from what AI can do to how fast you can deploy it. The Agentic Deployment Expert builds the b...