# From Harness Lock-In to Portable Context Layer

DevFeed: [From Harness Lock-In to Portable Context Layer](<https://devfeed.tech/articles/from-harness-lock-in-to-portable-context-layer-18308.md>)

Original publisher: [Read original article](<https://www.decodingai.com/p/the-context-layer>)

Author: Paul Iusztin

Published: 2026-06-30T08:20:17Z

Content type: article

Language: en

Sources: [Decoding ML](<https://devfeed.tech/sources/decoding-ml.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Graphs](<https://devfeed.tech/topics/graphs.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Notion](<https://devfeed.tech/topics/notion.md>), [Obsidian](<https://devfeed.tech/topics/obsidian-md.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [code](<https://devfeed.tech/tags/code.md>), [knowledge-graph](<https://devfeed.tech/tags/knowledge-graph.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [memory](<https://devfeed.tech/tags/memory.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [vector-search](<https://devfeed.tech/tags/vector-search.md>)

## AI overview

The article argues that users should keep their context layer separate from any AI harness. It proposes unified memory combining a filesystem, BM25 keyword search, semantic vector search, and a typed knowledge graph, exposed through an MCP server or skills so different models and harnesses can use it.

## Source excerpt

Build a unified memory (knowledge graph or an LLM wiki) and serve it over MCP servers or skills, so any agent, open or closed, plugs in within minutes.