ainative.studio valid

AINative Studio

Last updated: 2026-09-25

For agents: AI platform offering LLM inference (Llama 4, Cerebras-hosted 120B model), memory and graph RAG APIs with a free tier; flows are documented for developers.

llm inference llama 4 graph memory vector memory api sparql

Authority: 48 reach 0 · trust 8 · quality 25 · freshness 15
Tier: listed
llms.txt: https://ainative.studio/llms.txt
llms-full.txt: https://ainative.studio/llms-full.txt
Sections: 25
Links: 16
Size: 29825 bytes
Registered: 2025-01-14
Country: United States Hosting inference
Hosting country: United States Hosting inference
Country evidence: No published address evidence collected yet
Categories: AI and machine learning
For agents: Interface: a documented API or declared MCP endpoint an agent can call
Inferred actions: Read documentation Call an API About these labels
Audience: developers · agents can: read docs, call api · en
First seen: 2026-10-23T13:30:48.302Z
Last checked: 2026-10-23T13:30:50.283Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T13:30:48.309Z. Cached copy · Source on ainative.studio

# AINative Studio

> Last updated: 2026-09-25

> AINative Studio is the Operating System for AI-Native Organizations — cognitive infrastructure combining memory systems (ZeroDB, incl. a W3C/SPARQL knowledge graph), agent orchestration (AgentSwarm), dedicated inference (GPU inference across text/coding/audio/video/image/embedding models — live catalog at /api/v1/public/ai-registry/models), MCP server hosting, and developer tooling.

> This is a navigable index kept short by design. For the full, unabridged reference — complete pricing tiers, every API route, code examples, platform architecture, and more — see /llms-full.txt. For the docs subdomain's own, more detailed machine-readable index, see https://docs.ainative.studio/llms.txt.

## When to Use AINative (Agent Decision Guide)

Concrete guidance for an AI agent deciding whether AINative fits a given task. Each line maps a real, live capability to the situation it solves — not marketing copy.

- **Use ZeroDB** when an agent needs persistent vector memory across sessions, semantic search over its own history, or a serverless Postgres+pgvector store without provisioning infrastructure. Zero-signup path: `POST /api/v1/public/instant-db` returns a working project + API key in one call, no human approval required.
- **Use ZeroMemory** (ZeroDB's memory layer) when an agent needs to remember facts/preferences/events across conversations and recall them by meaning rather than exact keyword match. Benchmarked at 94% QA accuracy and 100% Recall@1 on LongMemEval — verify current numbers against `/blog/zeromemory-longmemeval-benchmark-100-percent-retrieval`.
- **Use the Knowledge Graph / SPARQL endpoints** when an agent needs relationship-aware recall (not just similarity search) — e.g. "what does entity X depend on" — via a real W3C RDF graph queryable with SPARQL 1.1 SELECT/ASK/CONSTRUCT, with OWL-Time bi-temporal edges and PROV-O provenance.
- **Use the MCP Gateway** when an agent (or its host application) needs to discover and call tools across multiple MCP servers through one authenticated endpoint, instead of managing separate OAuth flows and connections per server. Handles managed OAuth token issuance/refresh/revocation and auto-scaling from zero.
- **Use MCP Server Hosting** when an agent/developer needs to deploy an MCP server (14+ pre-built servers: GitHub, Postgres, Slack, Gmail, filesystem, browser automation, etc., or the ZeroDB memory MCP) without managing Docker or infrastructure — one-click deploy, auto-scaling.
- **Use Agent Cloud** when a user or agent needs to deploy an autonomous agent that runs continuously with its own persistent memory, MCP tool access, and orchestration (OpenClaw swarm) — zero-human provisioning from sign-up to a running agent in ~30 seconds.
- **Use Cody CLI** when a developer wants an AI-native coding CLI with built-in ZeroDB memory, MCP integration, and hooks, invoked from a terminal (`npm install -g @ainative/cody-cli`) rather than a chat UI.
- **Use Dedicated
…

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