Morion is a local notebook and task tracker that speaks MCP. Send tickets to Claude Code, Codex, Cursor, or any agent; Mo packages the context around the work; Auto-code turns each ticket into a visible build, review, decision, and completion flow.
Modern coding work is already multi-agent: Claude Code, Codex, Cursor, maybe a cheap open model through OpenRouter. But the plan lives in chat, the tasks live somewhere else, and every agent starts from a thin ticket with no surrounding memory.
A card says "fix opening trainer hints." The useful context is somewhere else: related tickets, design notes, previous decisions, known risks.
One agent builds, another reviews, and the next step should be explicit. In chat, that turns into manual babysitting and copy-paste orchestration.
Claude, ChatGPT, Gemini, and local models all have different memory surfaces. Your project memory should be visible, editable, and on your disk.
Start with a useful local notebook and board. Add MCP so agents can read and write it. Add Mo and Auto-code when you want the board to become an agentic dev loop.
Notes, specs, comments, tasks, tags, folders, and six kanban statuses live in one local file. It is useful before any AI enters the room, which is why it works as the source of truth when agents do enter.
Drop work into Todo. Claude Code, Codex, Cursor, Cline, Zed, or Antigravity can claim a card atomically, update it through MCP, leave comments, and move it back to Review. Two agents never take the same job.
Send a ticket to an agent in one click. Or finish a long chat and ask the agent to save the decision, create follow-up tasks, or move cards. Morion is not a read-only memory store; it is the shared workspace both sides can update.
No Morion cloud workspace, no telemetry, no per-request Morion tax. If you use a cloud LLM, you choose that provider. If you point Mo at Ollama, the loop can stay local. Every AI write is logged with the actor name.
When an agent picks up a card, Mo does not hand it a naked title. It packages the ticket, related cards, folder memory, decisions, open questions, risks, and recent activity. It is also the in-app assistant you can ask directly, and the decision node inside Auto-code workflows.
Meet MoCompose a graph for each ticket: implementation, review, Mo decision, optional human gate, and completion. Use a fast model where speed matters, a stronger one where judgment matters, and keep the whole run tied to the same board.
See Auto-codeThis is the difference between "AI can see my notes" and "AI is working from the same operating system I use."
Start with a messy idea: "ship a usage dashboard with billing alerts for the beta." Talk it through with Codex or Claude. Then ask it to create the MVP board in Morion. The result is not a doc you forget about — it is a queue agents can claim from.
A bare ticket is rarely enough. Before an agent writes code, Mo gathers the surrounding context: the related tickets in the same group, the project brief, old decisions, open questions, risks, and recent activity. The agent starts with a focused packet, not your whole notebook.
Auto-code is the harness for the repetitive part of coding work. One stage writes the diff, another reviews it, Mo routes the outcome, and the card moves with a closing comment. Different model in every role, all on your keys.
Auto-code runs a separate workflow for each ticket, so multiple cards can be in progress with different agents. A smart external supervisor can manage the batch: check what finished, resolve merge conflicts, promote the next safe set of cards, and help stuck agents through MCP.
Free is the local notebook, kanban, and MCP sync your agents can already use. Paid adds Mo work packets, unlimited boards, granular permissions, and the Auto-code closed beta.
Full notebook, full MCP access, up to 2 kanban boards. The local workspace plus your external agents.
Obsidian is local markdown, but MCP and tasks are plugin-driven. Notion and Linear now have official hosted MCP, but they are cloud workspaces. Mem is AI memory, not an agent queue. LangGraph is the pure harness: powerful graphs, but you bring the app, storage, and board. Morion stacks the local workspace and the harness.
|
Morion
|
LangGraph | Obsidian | Notion | Linear | Mem | |
|---|---|---|---|---|---|---|
| Local-first | ✓ | ~ self-host | ✓ | ✗ | ✗ | ✗ |
| Markdown-native notes | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ |
| Kanban / task queue built in | ✓ | ✗ | ~ plugin | ✓ | ✓ | ✗ |
| Agent-claimable tasks (atomic) | ✓ | ~ custom | ✗ | ✗ | ~ assign agents | ✗ |
| Official MCP server | ✓ | ✗ | ~ community plugin | ✓ hosted | ✓ hosted | ✗ |
| Hybrid / semantic search built-in | ✓ | ✗ | ~ plugin | ~ AI search | ~ | ✓ |
| Audit log of all AI writes | ✓ | ~ traces | ✗ | ~ Enterprise | ~ Enterprise | ✗ |
| Folder + per-note AI permissions | Pro | ✗ | ✗ | ~ page-level | ~ team/app | ✗ |
| Mo work packets + in-app assistant | Pro | ✗ | ✗ | Notion AI (cloud) | Linear Agent | Mem chat (cloud) |
| Agentic harness multi-model dev loop, graph/workflow runtime | Pro | ✓ framework | ✗ | ✗ | ~ agents | ✗ |
| Free for personal use | ✓ | ✓ OSS | ✓ | ✓ | ✓ | ~ |
| No vendor lock-in | ✓ | ✓ OSS | ✓ | ~ | ~ | ~ export |
The pure harness: durable agent graphs, but no notebook or kanban workspace.
Docs + databases + AI — cloud-first, your data on their servers.
Local + extensible — MCP via community plugins, no native task queue.
AI memory infra — no daily-driver UI, no agent queue.
Cloud notebook + clipper — no MCP, no agent-workable kanban.
Local outliner with graph view — AI via plugins, no native MCP.
The only local workspace that combines a daily-use notebook, an agent-claimable task queue, and first-class MCP access. Every agent action is logged with the agent's name — you always know who did what.
Local-first is what makes the rest of Morion honest. The notebook, the kanban, MCP, even Mo — all of it gets stronger when there's no cloud workspace holding your data hostage.
Client NDAs, source code, unpublished specs, your journal — nothing is uploaded. Ever. 73% of enterprise AI-tool deployments fail security review; there's nothing to fail here.
Cloud MCP servers add 300ms+ per call. Morion runs in-process — tool calls complete under 100ms. When an agent makes 20 calls, the difference is "instant" vs "why is this so slow."
Pair Morion with a local LLM (Ollama, llama.cpp) and the entire loop — notes, tasks, agent — runs without an internet connection. No "please reconnect" while you're thinking.
Morion never charges per search, per task, per call. Your agent can make 1,000 tool calls overnight — the month-end bill stays the same. Only LLM API costs scale with usage.
Shared JIRA and AGENTS.md weren't built to hold your half-baked plans, personal scratchpads, or failed attempts. Morion sits one level below the team layer — yours, private.
Open formats with decades of stability ahead of them. If Morion disappears tomorrow, your data is still readable in 40 years. Markdown export whenever you want. Try any of that with Notion.
Install, capture some notes or queue some tasks, connect your AI, and let your agents get to work — all on your disk.
Download the macOS app. Open it. No sign-up.
Jot things you want to remember. Flip a folder to kanban and drop tasks your agents can pick up.
One click per client — Claude Desktop, Cursor, Cline, Zed, Claude Code, Codex, Antigravity.
Ask Claude a question and it pulls context. Or say "take the next task" — it claims one, ships it, moves it to Review.
Morion detects installed AI clients and wires itself into their MCP config. You click Connect, the client sees Morion next time it starts.
Or skip the AI entirely — Morion is a perfectly good notebook on its own.