Best AI Memory for Cline (2026)
Cline's Memory Bank is markdown files you maintain by hand — and .clinerules is static. Six ways to give Cline persistent memory that auto-updates, recalls by meaning, and follows you across repos and tools — evaluated honestly.
The quick answer
If you want Cline to remember across tasks and repos without you maintaining markdown files: Ricord, installed as an MCP server. If you like the discipline of curating context by hand: the Memory Bank pattern or a .clinerulesfile. If you're building agents on top of Cline: Letta. The matrix below spells out the rest.
Why this matters for Cline specifically
Cline is one of the most capable autonomous coding agents shipping — it plans, edits, runs commands, and iterates. But between tasks it starts cold. The community answer is the Memory Bank: a set of structured markdown files (project brief, active context, progress) that Cline reads at the start of a task and you update as you go. It works, and it's a genuinely good pattern — but it's manual. You write the files, you keep them current, you re-read whole documents into context every task, and none of it follows you to another repo or another AI tool.
The fixes cluster into six approaches that differ on a handful of axes — install effort, whether memory auto-updates, semantic recall vs whole-file reads, wiki browsability, cross-tool reach, conflict resolution, and cost.
The decision matrix
Eight criteria, six options. The two Cline-native approaches (the Memory Bank and a .clinerules file) are evaluated separately because they answer different problems.
| Criterion | Ricord | Mem0 | Letta | Supermemory | Memory Bank | .clinerules |
|---|---|---|---|---|---|---|
| MCP server install (one config block) | Limited | |||||
| Survives across separate repos/tasks | Per-repo files | Per-repo | ||||
| Auto-updates (no markdown to maintain) | Manual | |||||
| Semantic recall (not a full-file re-read) | Reads whole files | Whole file | ||||
| Browsable wiki + knowledge graph | Pro only | Raw markdown | ||||
| Same memory in Claude Desktop / Cursor / ChatGPT | API only | |||||
| Conflict resolution (old facts superseded) | Basic | Manual edits | Manual edits | |||
| Cost (smallest paid tier with memory) | $12/mo annual | $249/mo for graph | Self-host + LLM | $29/mo | $0 (manual) | $0 |
Slot-by-slot — which fits you
If you run Cline across many repos and don't want to babysit markdown
Ricord is built for this — install it as an MCP server once, and every Cline task reads and writes the same memory, scoped per project automatically. No Memory Bank files to create or keep current; Cline saves and recalls through the MCP tools, and you get a browsable wiki of what it learned across all your repos.
If you love the Memory Bank discipline and stay in one repo
The Memory Bankis genuinely good for a single, well-tended project. You control exactly what Cline reads, it's all in your repo and versioned in git, and there's no external dependency. The cost is upkeep — the files go stale the moment you forget to update them, and every task re-reads whole documents instead of pulling just the relevant facts.
If you want static project rules, not memory
A .clinerules fileis the right tool for stable conventions — style, do-not-touch lists, deploy steps. Cline follows them every task, no infra. It doesn't learn from your work, but for small static contexts that's the point.
If you're building an agent product on top of Cline
Lettaships an agent runtime with memory built in. If you're already writing orchestration code, the integrated model is cleaner than wiring memory as a separate service. For memory inside Cline itself, it's overkill.
If retrieval quality is your edge and you want OSS
Mem0open-source is the right pick. Apache-licensed, vector-first, forks cleanly. You'll invest real engineering to get it production-ready, worth it if memory retrieval is your product. When OSS wins →
If Cline is one of several AI tools you use
A hosted layer wins here. Ricord keeps one memory every tool reads — what Cline learns is live in Claude Desktop and Cursor too. A Memory Bank, by definition, stays in the repo Cline is working in.
Why Ricord wins for most Cline users
- It's the Memory Bank, automated. Same outcome — Cline remembers your project — without you authoring and maintaining the markdown. It extracts and updates as Cline works.
- Semantic recall, not whole-file reads. Cline pulls the few facts relevant to the task instead of stuffing entire context documents into the window every time.
- One memory across repos and tools. Scoped per project, browsable as a wiki + knowledge graph, and reachable from Claude Desktop, Cursor, and Codex via the same MCP server.
bun add -g ricord ricord login ricord install # auto-detects Cline, Cursor, Claude Code, Windsurf
Reload Cline so it picks up the MCP server. Ask it to remember something on one task; recall it on the next, or in a different repo. The wiki populates as Cline works.
Getting started
Pick the option that matches your slot. If it's Ricord, the three commands above get you running. If it's the Memory Bank or .clinerules, you're already set up — just keep the files current. The signal that you picked right is whether you've stopped re-explaining the same context to Cline after a week.