Skip to main content

Flanner

PyPI Python CI License: MIT

A plan-file manager for AI coding agents, wired into Claude Code and other assistants over MCP (Model Context Protocol).

flanner: versioned plan files linked to Linear issues, in the web dashboard

Why

AI agents write markdown constantly: design docs, migration plans, architecture notes. It piles up fast, scattered across your repo, quietly going stale, and easy to commit by accident. Flanner gives those files one home, versions them automatically as the agent revises, and keeps them out of git until you decide otherwise, with a browsable reading view and an audit trail on top.

No, I'm not convinced. But why?

Those plan files pile up in two directions at once: scattered across your projects locally, and scattered across open issues in your project-management tool. Flanner is the choke point for both, keeping you organized on disk and linked to the issue each plan belongs to.

Flanner is local-first, and stays that way when a team uses it. Plans sync directly between your machines over an encrypted connection — there is no server holding them, and no upload step. The hosted side (Flanner Mesh) issues identities and decides who may read what; it never sees plan contents and could not read them if it wanted to. Next after that: clean links out to the tools teams already work in, from product trackers and chat to second brains like Notion.

Features

  • MCP integration: exposes plan-file tools to Claude Code and Codex.
  • Automatic headers and versioning: every plan gets YAML frontmatter, and each revision is a new version with a full history.
  • Git protection: plans live in .plans/ and are kept out of commits automatically.
  • Agent integration: flanner init wires CLAUDE.md, AGENTS.md, and a guard hook so agents save plans through flanner instead of scattering raw markdown.
  • Issue tracker links: tie a plan to its Linear (or JIRA) issue; with a LINEAR_API_KEY, flanner verifies the issue and shows its live state, in the CLI and the dashboard.
  • Reading view: a browser dashboard to read, edit, and walk the history of plans (light and dark, fully offline).
  • Per-project config: customize the plan directory per repository.

Quick start

pip install flanner

cd your-project      # a git repo where plans should live
flanner init         # sets up the database, MCP registration, and a project

Then ask your agent to work with plans:

"Create an architecture plan for the auth service"

"Show me the history of the architecture plan"

And open the dashboard to browse them:

flanner web --open-browser     # http://localhost:8080

flanner init is safe to re-run. It detects your git root, creates .plans/, updates .gitignore, registers the MCP server with Claude Code, and installs the agent integration.

CLI commands

flanner init [--project-root PATH] [--plan-dir DIR]     # set up a project
flanner status                                          # projects, plan files, db path
flanner list [--project NAME] [--output json]           # list projects or a project's plans
flanner sync [--project NAME] [--dry-run]               # import existing .plans/ files
flanner config NAME [--plan-dir DIR] [...]              # change project settings
flanner web [--port 8080] [--host 127.0.0.1] [--open-browser]
flanner register [--force] / flanner unregister         # MCP registration with Claude Code
flanner claude-info                                     # integration status
Plan file format

Every managed plan carries YAML frontmatter, generated by the tools and never hand-written:

---
mcp_plan_file: true
project_id: 3d816ecd-489a-4fa0-abe2-15ec93f60d5a
plan_file_id: 59c34f9c-8471-47fc-97f2-8dcfefa15434
plan_name: architecture
version: 2
created_by: claude
---

# Architecture Plan

Your plan content here...
Web interface

flanner dashboard

A server-rendered dashboard, no build step, works offline:

  • Dashboard (/): projects, stats, and recent activity
  • Project detail (/projects/{id}): a project's plans, paginated
  • Plan viewer (/plans/{id}): rendered markdown, version selector, frontmatter
  • Editor (/plans/{id}/edit) and version history (/plans/{id}/history)

The web UI binds 127.0.0.1 with no authentication. Do not expose it beyond localhost.

Where data lives
  • Catalog (SQLite): ~/.flanner/data.db, override with FLANNER_HOME or FLANNER_DB_PATH
  • Plan files: .plans/ in your repo, git-ignored, named name_v1.md, name_v2.md, and so on
Issue tracker links (Linear, JIRA)

Link plan files to issues so a plan and its ticket travel together.

flanner linear auth                                     # verify LINEAR_API_KEY, print MCP snippet
flanner linear config PROJECT --workspace acme          # linear.app/acme
flanner linear link PLAN --issue ENG-123 [--notes ...]  # link a plan to an issue
flanner linear links [--project PROJECT]                # list all links
flanner linear show PLAN [--project PROJECT]            # links for one plan
flanner linear unlink PLAN [--issue ENG-123 | --all]
flanner linear refresh PLAN                             # re-pull title/state (needs API key)

With LINEAR_API_KEY set, link verifies the issue exists and caches its title and state, --attach-url attaches a URL to the Linear issue, and refresh re-pulls live status. Without a key it stays link-only (stores the id, builds the URL). The key is read from the environment only, never stored on disk. See docs/LINEAR_INTEGRATION.md. A parallel flanner jira group links to JIRA issue keys (link-only).

Syncing plans between devices
flanner peer serve                                      # answer authorised peers
flanner peer pull <device-id>                           # pull what a peer holds
flanner peer status [<device-id>]                       # how this device is reached

peer serve opens no listening port. It dials out and answers on that connection, so it needs no port forwarding, no VPN and no administrator rights. Devices find each other by public key rather than by address.

Being reachable grants nothing. A caller needs a signed request and an entitlement naming both its device and the workspace, and every artifact received is checked against its author's key, not the peer that handed it over. So a peer you sync with is not a peer you trust.

peer status answers the question a slow sync raises: direct or relayed? Both work. A relay is slower, and usually means a firewall that refuses to be punched through.

Connections go direct where possible and relay only where they must. Pass an http address instead of a device id to reach a peer already on your network, which needs flanner peer serve --http on the other side.

Platforms. Reaching a peer that has no address needs the iroh transport, which publishes builds for macOS on Apple Silicon, Linux on x86-64 and arm64, and Windows on x86-64. It is declared only for those, so pip install flanner works everywhere; elsewhere it is simply absent and flanner peer status says so. Everything else in flanner is unaffected, and peers on a shared network still sync over an address.

Alpine and other musl distributions are the exception: the Linux build does not match there, so the install fails rather than skipping it. Use a glibc-based image, or install with --no-deps and add the remaining dependencies yourself.

Architecture

Layering is enforced by tests/test_architecture.py:

  • foundation (exceptions, utils, frontmatter, git_integration, jira_utils, linear_utils) imports nothing else from the package; the linear_api GraphQL client adds only exceptions
  • data (database, storage) sits on the foundation only
  • composition roots (server for MCP, web, cli) wire everything together and do not import each other (except cli, which launches both)

Decisions are recorded in docs/adr/, with more guides in docs/.

How it works

An agent calls get_plan_config to learn where plans go, then create_plan_file_tool or update_plan_file_tool to write them. Flanner places the file in the project's plan directory, adds the header, and bumps the version. Files stay in .plans/ (git-ignored), so they never land in a commit by accident.

Nothing is pruned, and nothing is erased. Every version, comment and review decision is kept. The store is append-only, there is no cleanup command, and the Settings page shows what that costs in bytes so the choice is visible rather than assumed. Deletion follows from the same design: flanner retire <plan> asks every peer to stop showing and serving a plan, and --restore undoes it, but it is a claim other devices honour rather than an erasure. A teammate who was offline when you ran it keeps the content until they next sync, and anyone already holding the bytes keeps them. That is the strongest promise an append-only store spread across machines you do not control can honestly make, so it is the one made here.

Keeping the agent on the rails. The MCP tools are the how; flanner init also installs two layers that make the agent actually use them. It writes a managed block into CLAUDE.md and AGENTS.md (guidance Claude Code and Codex read every session) plus a flanner-plan skill, so the agent knows to route plan docs through flanner. On top of that, a guard-write PreToolUse hook denies any raw write into the plan directory and points the agent back to create_plan_file_tool, so even if it ignores the guidance a plan cannot land as unmanaged markdown. The hook fails open and never blocks writes elsewhere.

Roadmap

Shipped in 0.9.0: peer-to-peer sync, shared workspaces, and review between teammates. Plans move directly between machines; nothing is uploaded. See Flanner Mesh for how that works and what it costs.

Planned next:

  • Full-text search across plans
  • Links out to product trackers, chat, and second brains like Notion
  • Real-time updates in the web UI
  • Relay fallback for peers that cannot reach each other directly

There is no plan to host plan contents. The catalog stays on your machine. That is a design decision, not a milestone waiting to be funded.

Contributing

Setup, the CI gates, benchmarks, and the release process are in CONTRIBUTING.md.

License

MIT

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flanner-0.9.3.tar.gz (564.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

flanner-0.9.3-py3-none-any.whl (489.6 kB view details)

Uploaded Python 3

File details

Details for the file flanner-0.9.3.tar.gz.

File metadata

  • Download URL: flanner-0.9.3.tar.gz
  • Upload date:
  • Size: 564.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.12.5

File hashes

Hashes for flanner-0.9.3.tar.gz
Algorithm Hash digest
SHA256 4b0e9d7c9a9baf0393429382202f6b6527f1b68cde45d5fa69cc73f2a1cd511f
MD5 0fead207f109eb76672a37fdb57f88c0
BLAKE2b-256 9bd8dcf1c943e41a3a9d8a54f8ac0f1c4dd187fefe2ddff55d0a2ae0f0c97c6b

See more details on using hashes here.

File details

Details for the file flanner-0.9.3-py3-none-any.whl.

File metadata

  • Download URL: flanner-0.9.3-py3-none-any.whl
  • Upload date:
  • Size: 489.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.12.5

File hashes

Hashes for flanner-0.9.3-py3-none-any.whl
Algorithm Hash digest
SHA256 854389955c937cfa05a5b5b9e8d8484372e599f77a03cc9b03e7b4b4bed4afd7
MD5 234d8a4a0a745a33ef53c6bc2b653921
BLAKE2b-256 f3cd663b86eec701ced3e746aa1387e00759c7d28a5508ca223b2f70728b4c00

See more details on using hashes here.

Release history Release notifications | RSS feed

0.12.0

2 files

0.11.0

2 files

0.10.0

2 files

This release

0.9.3 This release

2 files

0.9.1

2 files

0.9.0

2 files

0.8.0

2 files

0.7.1

2 files

0.6.0

2 files

0.4.1

2 files

0.4.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page