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Unabyss

RAG Frameworks · Freemium

MCP-native context layer that continuously structures data from builder work tools and serves shared context to compatible AI agents.

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Shared team context graph exposed over MCP so coding assistants can read decisions and write activity without repeated re-explanation.

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RAG Frameworks· github.com

Open source

Open-source persistent memory layer that captures, compresses, and retrieves coding-agent session context across Claude Code, Codex, Gemini, OpenCode, and other agents.

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# Building with Unabyss

MCP-native context layer that continuously structures data from builder work tools and serves shared context to compatible AI agents.

**Category:** RAG Frameworks
**Directory listing:** https://tokensand.com/tools/rag-frameworks/unabyss
**Detected stack:** unknown
**Snippets derived from real docs:** no (fallback)

## Goal

I'm building a project with Unabyss. Help me ship end-to-end in the smallest number of steps — hackathon speed, production-safe defaults. If any step below is ambiguous or the docs snippet is incomplete, ask me what I'm trying to build before writing code.

### Install
(No canonical install command detected — see docs links below.)

### First call
(No verified example detected — consult the official docs links before writing one.)

## Docs links
- [Official Docs](https://unabyss.com/mcp-docs)
- [Website](https://unabyss.com)


## Your task
1. Read the install and first-call blocks above. Write a minimal runnable starter in the detected stack (unknown).
2. Call out any secrets I'll need (API keys, env vars) and how to get them.
3. Suggest one "next step" that would make this project demo-worthy in 10 minutes.
4. Verify current official d
…
Docs:Official DocsWebsite