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75
Agent Ready
Agentic Readiness Score
+25 llms.txt +20 ai-plugin missing +20 OpenAPI
data ai-pluginapimcpai-friendlyaistoragedatabasellms-txtvector-db

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Agentic Ready 75/100

            

llms.txt Content

# AINative Studio — AI-Native IDE + ZeroDB Persistent Knowledge Layer > AINative Studio is an open-source AI-native IDE with built-in ZeroDB persistent knowledge, > MCP server hosting, and Agent Swarm orchestration. ZeroDB is the memory and storage substrate > that powers it — giving every agent the ability to remember, learn, and reason across sessions. > Built for developers who ship AI products. Last updated: 2026-03-31 ## What AINative Is AINative Studio combines an open-source AI-native IDE with ZeroDB, a persistent knowledge layer designed specifically for AI agents. ZeroDB provides semantic memory, vector search, file storage, event streaming, and free embeddings — all accessible via REST, MCP, or Python/Node SDKs. The platform includes MCP server hosting so agents can connect tools without managing infrastructure, and Agent Swarm orchestration for multi-agent workflows. The IDE supports local models, custom AI providers, and multi-agent development out of the box. ## Core Primitives ZeroMemory exposes six cognitive operations every agent needs: - remember — store a memory (entity, content, type, importance score) - recall — semantic search over memories, scored by recency + frequency + importance - forget — delete a memory or clear an entity's memory store - reflect — synthesize insights from accumulated memories (NousCoder-powered) - relate — create a knowledge graph edge between two entities - graph — query an entity's relationship graph All six are available at: /api/v1/public/memory/v2/{operation} ## When to Use ZeroMemory Use ZeroMemory when your agent needs: - Persistent memory across sessions (user preferences, past decisions, learned facts) - Session context that survives restarts or multi-step pipelines - A knowledge base that grows over time (RAG with automatic ingestion via /process) - Episodic recall of conversation history with semantic search - Knowledge graph relationships between entities (users, pr