MemNexus is in gated preview — invite only. Learn more
Back to Blog
·7 min read

Devin Memory: How to Make Devin Remember Your Codebase Across Sessions

Devin starts fresh every session with no memory of prior work. Here is how to add persistent memory via MCP so Devin remembers your project decisions, conventions, and debugging history.

MemNexus Team

Engineering

DevinCognitionAI ToolsMCPDeveloper Workflow

June 2026 Written by Claude Sonnet 4.6 | Edited by Harry Mower

Devin is Cognition AI's autonomous AI software engineer. You give it a task — implement this feature, investigate this bug, refactor this module — and it reads your repo, writes code, runs tests, and iterates without you steering each step. It's available as Devin Cloud (the web app) and Devin Desktop, the IDE form factor.

That level of autonomy is genuinely useful. But it makes context loss more damaging than with interactive tools. When you're working alongside an AI assistant, you can re-inject context mid-task. With Devin, you hand off the task and step away. If Devin doesn't have the history, you won't discover the gap until something goes sideways — a decision made against your architectural conventions, a bug you already traced reproduced because Devin didn't know the root cause, a refactor that undoes a considered trade-off.

Each Devin session runs in a sandboxed environment. When the session ends, that context is gone.

What Devin resets every time

Here's what disappears between sessions:

  • Project decisions. Why this service uses that database. Why the obvious architectural pattern was ruled out. What trade-offs shaped the current design.
  • Coding conventions. The error handling patterns your project has settled on. The non-obvious constraints that aren't captured in any linter config or type definition.
  • Debugging history. The root cause you traced last week. The fix and why it holds. The two approaches that looked promising but didn't work.
  • Accumulated context. Everything Devin established during the last session that it will need to re-establish next time — at your expense in time and tokens.

Because Devin operates autonomously, this matters more than it would with a tool you're actively supervising. Devin makes real decisions on your behalf. Without the history, those decisions are made against a blank slate instead of your actual project.

What the Knowledge Base can do (and what it can't)

Devin has two mechanisms for persisting context beyond a session.

The first is the Knowledge Base — a curated store of tips and instructions you write manually. Each entry has content and a trigger description that Devin uses to decide when to recall it. If you haven't set one up, it's worth doing for the stable, rarely-changing parts of your project: which libraries you use, your commit message format, the API style your project follows.

The second is automatic file ingestion. Devin reads .rules, .mdc, .cursorrules, .windsurf, CLAUDE.md, and AGENTS.md files from your repo at session start. If you already maintain one of these files for another tool, Devin will pick it up.

Both mechanisms are useful. But they have a shared limitation: they're static and manually maintained. The Knowledge Base has no concept of time. It doesn't accumulate context automatically from what happens during sessions. Trigger matching is one-directional — you define when Devin should recall something, not what it should learn from the work it just completed. An entry you wrote in March doesn't know it was superseded by a decision made in May. And there's no mechanism for Devin to write to the Knowledge Base as it discovers things — entries exist because you created them.

For stable instructions, this works fine. For the accumulated context that makes an autonomous agent actually effective — the decisions with their reasoning, the debugging history, the cross-session continuity — you need something that grows automatically from the work itself.

The MCP approach: MemNexus as Devin's memory layer

Model Context Protocol (MCP) is an open standard for connecting AI tools to external capabilities. Devin supports MCP servers via its MCP Marketplace and custom configuration, using STDIO, SSE, and HTTP transports. MemNexus implements MCP. For a deeper look at why MCP is the right protocol for giving coding agents persistent memory, see MCP as a Memory Layer: Why Coding Agents Need More Than Context Windows.

When you connect MemNexus to Devin via MCP, Devin gains access to a persistent, searchable memory store that lives outside any single session. It can pull relevant context before it starts on a task. It can save decisions and findings during a session. And it can search what you already know when it encounters a familiar problem.

Setup takes about two minutes:

npm install -g @memnexus-ai/mx-agent-cli

# Interactive prompt — key stays out of shell history
mx auth login

mx setup

mx setup walks through connecting Devin via MCP. After that, Devin can read and write your memory store as part of normal operation.

You can also add a line to your AGENTS.md to prompt Devin to load context automatically at the start of each session:

At the start of each session, use MemNexus build_context to load relevant project history before beginning work.

What a session looks like with memory

Before Devin starts working on a task, build_context gives it a structured briefing:

  • Active work — what was in progress last session and where it stopped
  • Key facts — extracted knowledge relevant to the task at hand
  • Gotchas — patterns that appeared in multiple prior sessions, the recurring traps
  • Recent activity — related memories from the past day or week

Instead of starting from a blank slate, Devin walks into each session knowing the actual state of your project. When it writes code, it's working from your real conventions — not just what's in AGENTS.md, but the decisions and patterns that have accumulated over time.

This front-loading is especially valuable for Devin. An interactive tool can pause mid-task and ask a clarifying question. Devin tends to run. A memory-loaded session start means the context is there before the first decision gets made, not after you've reviewed the output.

What accumulates over time

Here's what MemNexus stores and surfaces across your Devin sessions:

Conventions with context. Not just "we use async/await" but how this service handles partial failures, and why. The details a linter can't capture and that AGENTS.md can reference but can't fully explain.

Decisions with their reasoning. "We use Redis for session storage" is table stakes. "We chose Redis over Postgres because we need sub-10ms reads for the auth middleware, and the session schema is simple enough that SQL isn't buying us anything" is what Devin actually needs to make good calls independently.

Debugging history. That investigation you completed last week — root cause, fix, what you eliminated along the way — becomes a memory. When similar symptoms appear, Devin can surface what you already found rather than tracing the same path from scratch.

Cross-session continuity. After a few months of active development, your memory store reflects the real shape of the project: the tricky parts, the non-obvious patterns, the things that bit you once and shouldn't bite you again.

The value isn't obvious on day one. It compounds. After a few weeks, Devin walks into each session with the actual history of your project — the decisions made under pressure, the bugs traced to their root, the patterns that emerged from real use. Re-explanation drops. The things you've already figured out stay figured out.

Devin Desktop and Windsurf

Devin Desktop is the IDE form factor of Devin, formerly Windsurf (rebranded June 2026). If you use Devin Desktop as your primary coding environment, the MCP integration works the same way as described above.

For IDE-specific setup details and Windsurf-specific configuration, see our Windsurf persistent memory guide.

Using a different AI coding tool?

The same MCP-based approach works across the AI coding assistant ecosystem:


MemNexus is currently in gated preview. If you want Devin to actually remember your project between sessions, get started free at memnexus.ai.

For setup documentation and MCP configuration details, see the MemNexus docs.

Give your coding agents memory that persists

MemNexus works across Claude Code, Codex, Copilot, and Cursor — your agents get smarter every session.

Get Started Free

Get updates on AI memory and developer tools. No spam.