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Daiton for Aider

Give Aider memory that persists across runs.

Aider builds a repo map and keeps a chat history, but it doesn't carry learned facts from one run to the next, and that context is local to Aider. Daiton gives Aider one persistent, sourced memory over MCP: it remembers across runs, shares the same facts with Cursor and Claude Code, and keeps receipts on every fact.

What to check about Aider's memory

Aider provides Aider repo map + chat history. Check its scope before adding another service:

Where Daiton fits

Daiton connects company knowledge to Aider over MCP. Confirm your client supports the required connection and agree which sources the agent can access:

Aider repo map + chat history vs Daiton

CompareNativeWith Daiton
Persists across sessionsCheck the tool and configurationShared company memory
Sharing across toolsDepends on your workflowAcross connected, authorized agents
Sources and correctionsCheck the tool and configurationSource-linked facts and corrections
SetupAider repo map + chat historyMCP connection and access configuration

FAQ

Does Aider remember across runs?

Aider builds a repo map and can use chat history within a session, but it doesn't persist learned facts across runs, and that context is local to Aider. Daiton adds persistent, sourced memory over MCP that survives runs and is shared with your other agents.

How do I give Aider persistent memory?

Connect Daiton's MCP server to Aider. It recalls sourced facts and writes back what it learns to one shared company brain — so context carries across runs and tools.

How do I share context between Aider and Cursor or Claude Code?

Point them at Daiton over MCP. They read and write the same sourced memory, so a decision made in Aider is available in your other agents — no handoff file.

Explore the connection for each tool: Daiton for Claude Code · Daiton for Cursor · Daiton for GitHub Copilot · Daiton for Windsurf · Daiton for Cline · Daiton for ChatGPT · Daiton for Gemini · see the full comparison →

Connect Aider to company context.

Use the pilot to test shared context against the questions your team actually needs to answer.