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BaseThread

RAG Frameworks · Freemium

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· help.getzep.com

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Temporal knowledge graph memory layer for AI agents that need evolving user, entity, and relationship context over time.

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Open-source AI memory and knowledge graph engine for persistent agent context.

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RAG Frameworks· unabyss.com

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

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# Building with BaseThread

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

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

## Goal

I'm building a project with BaseThread. 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://github.com/navbuildz/basethread-mcp#readme)
- [GitHub](https://github.com/navbuildz/basethread-mcp)
- [Website](https://basethread.ai)


## 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 
…
Docs:Official DocsGitHubWebsite