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Endpoints

Endpoints

Turn your files into Clawdbot memory with JSON endpoints

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Structured memory your AI agent queries via REST API — across sessions, across models. No RAG retrieval, nomd file hacks, no context window limits. Works with Claude, OpenAI, Google, and xAI.
Endpoints gallery image
Endpoints gallery image
Endpoints gallery image
Endpoints gallery image
Endpoints gallery image
Free
Launch tags:API•Developer Tools•Artificial Intelligence
Launch Team
Anima - OnBrand Vibe Coding
Design-aware AI for modern product teams.
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What do you think? …

Adam Carter
Maker
📌
Hey PR, I've been building "toolkits" with high-level API functions for Claude Code to use. During these builds, I kept running into the same problem: persistent memory is messy. Most solutions use .md files that bloat token usage every time the LLM reads them. So I came up with Living JSON; a simple pattern with two arrays: old and new. Fresh data goes into new, then rotates to old on the next scan. Clean, fast, and queryable by any LLM without the token bloat. What Endpoints does: - Extract structured data from images, PDFs, docs - Store original files in S3 - Auto-generate REST API endpoints - Query your data without re-parsing No more dumping everything into markdown files. Clean JSON endpoints your agent can query. Would love to hear how others are handling persistent memory for their AI agents. Have you run into the .md problem? What'd you do to solve it?