Knowledge & context
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An assistant without context starts from zero every morning. This path builds the counterpart: a body of knowledge in plain text files that belongs to you, that any model can read and that stays when you switch providers. From the single note through Obsidian and rules files to the upkeep without which every memory runs wild.
- 6
- 57
- For anyone typing the same context into a chat window for the third time.
- Obsidian
- Markdown
- AGENTS.md
- MCP
- Memory upkeep
0 of 6 stations · 0 of 57 min
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- Context Engineering: Why Context Beats the Prompt
You know the three layers of context and which of them are in your own hands.
- Notes an agent can read
You write notes so that an agent finds them, understands them and does not piece them together wrongly.
- Obsidian as memory for agents
You set up an Obsidian vault so that you and an agent use the same body of knowledge.
- Rules files: AGENTS.md and CLAUDE.md
You write a rules file an agent reads on every start – short enough to take effect.
- Connectors and MCP
You connect an assistant to your tools and grant only the permissions the task needs.
- Keeping memory clean
You keep a body of knowledge current: one fact in one place, with date and source, and a fixed slot for clearing out.
Path complete. Every station on this route is lit – the practice pack below turns reading into doing.
Work through it, don't just read it
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