Casefile
<div align="center">
# Casefile
**The task tracker your AI agents keep for each other.**
AI agents forget everything between sessions. Casefile gives every task a case file —<br>
decisions, failed attempts, findings, open questions — so the next agent picks up exactly where the last one stopped.<br>
You watch a live board and answer their questions.
[](https://github.com/azimov777/casefile/actions/workflows/images.yml)


[](LICENSE)
[](https://glama.ai/mcp/servers/azimov777/casefile)
</div>
**For anyone whose agents work on tasks longer than one session.** A self-hosted MCP server and a web board, free and MIT-licensed. Made for Claude Code; Codex, Cursor and any other MCP client connect the same way.
**Install on macOS / Linux**
```bash
curl -fsSL https://raw.githubusercontent.com/azimov777/casefile/main/install.sh | sh
```
**Install on Windows (PowerShell)**
```powershell
irm https://raw.githubusercontent.com/azimov777/casefile/main/install.ps1 | iex
```
All you need is Docker. The board opens at **http://localhost:8080**, and the installer connects Claude Code and Codex by itself — a plugin and an OAuth sign-in, no token to copy. Casefile updates itself to each new release: it checks once an hour and whenever Docker starts.
**Or let your agent do it.** Paste this into Claude Code, Codex or Cursor:
> Install Casefile for me by following https://raw.githubusercontent.com/azimov777/casefile/main/docs/agent-install.md
<div align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="docs/assets/demo-dark.gif">
<img alt="An agent creates a task and works it over MCP — the board picks up the new card, follows it across statuses, and the task page shows the agent's own case entries, live and without a reload" src="docs/assets/demo-light.gif" width="900">
</picture>
</div>
## Why
A session ends or the context fills up, and the next agent starts from scratch: re-reading the code, re-trying what already failed, re-asking what you already answered.
Casefile gives every task a **case file** — an append-only log the agent writes as it works.
- **Hand-offs that survive a fresh context.** The next agent reads the latest summary, the open questions and an index of the case, then carries on. No re-discovery.
- **Built for agents, over MCP.** Agents create and split tasks, record decisions and dead ends, ask you questions, and close with a verdict on every check.
- **You stay in the loop.** A live board and task pages show what every agent is doing. Answer questions, leave remarks and hand each agent its own access — right from the browser.
- **Guardrails, not bureaucracy.** No closing without a summary and a passed verdict per check; no starting a blocked task. Nothing else — no sprints, no estimates, no automation.
- **Yours, on your machine.** Runs locally in Docker and listens on localhost only. Nothing leaves your computer — unless you turn on sign-in and put it on your own server for your team ([Network mode](#network-mode)).
<div align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="docs/assets/question-dark.png">
<img alt="A task waiting on a blocking question the agent asked the human" src="docs/assets/question-light.png" width="900">
</picture>
</div>
## How it's different
- **Not a notes file.** A `CLAUDE.md` or `handoff.md` gets overwritten: the attempt that failed two days ago disappears, and two sessions edit the same file. A case file is append-only — a correction is a new entry that points at the old one. Keep `CLAUDE.md` for per-repo rules; Casefile is per task.
- **Not a memory server.** Memory MCPs recall facts by similarity. Casefile recalls nothing clever: it is a work log per task, read in a fixed order — card, latest summary, open questions, index, then only the entries you need.
- **Not an issue tracker with MCP bolted on.** An issue is a description and a thread anyone can edit. Case entries are typed and never edited, and the tracker refuses writes that would break the record.
- **Not an orchestrator.** It never starts agents, runs timers or moves tasks by itself. Handing out work and noticing a dead session stay with you and your agent harness.
## Connect your agent
The installer connects Claude Code and Codex by itself. It installs the Casefile plugin —
the skill and a connection to this installation's MCP address — and signs them in with
OAuth: no token is copied and none lands in any file. If the installer had no terminal
for the sign-in, it prints the commands; run them once:
```bash
claude mcp login plugin:casefile:casefile
codex mcp login casefile
```
The same commands sign an agent in again after you disconnect it on the board's
**Access** screen (in a Claude Code session, `/mcp` → `casefile` → **Re-authenticate**).
On your own machine the sign-in needs no password: Claude Code acts as `claude`, Codex as
`codex`.
**The skill comes with the plugin.** Connecting gives the agent the tools; the Casefile
skill teaches it how to use them. The installer puts it into Claude Code, Codex, Hermes
and other agents it finds on the machine, and prints one line per harness. An
installation made before v0.8.0 has no skill and no plugin, and the hourly self-update
does not add them: it updates only the service. Run the install line again, or install
just the plugin and the skill without touching the service (add `CASEFILE_URL=<address>`
for a server that is not on this machine):
```bash
curl -fsSL https://raw.githubusercontent.com/azimov777/casefile/main/install.sh | CASEFILE_SKILL_ONLY=1 sh
```
How to check whether an agent has the skill, and the commands for each harness, are in
[step 4 of the agent guide](docs/agent-install.md#4-install-the-casefile-skill).
**Hermes signs in with OAuth** (`auth: oauth` in `~/.hermes/config.yaml`; the installer
prints the block; not yet checked against a real Hermes). **Clients without OAuth use the
agent key.** Scripts and any client that cannot
sign in with MCP OAuth connect over streamable HTTP at the MCP address with the agent key
in a header. The installer prints the key in their blocks; read it again with
`docker compose run --rm --no-deps -T agent-token cat .secrets/agent-token` in
`~/casefile`. Such a client that takes an `mcpServers` JSON uses this — with the key and,
if your installer printed a different address, that address instead:
```json
{
"mcpServers": {
"casefile": {
"type": "http",
"url": "http://localhost:8100/mcp",
"headers": {
"Authorization": "Bearer <token>"
}
}
}
}
```
**Over stdio, as an alternative.** Streamable HTTP above is the main way in. A client
that can only launch a command and talk to it over stdin/stdout gets the same server
that way: it starts a short-lived container of your installation, attached to the
installation's database — same tools, same key, same case. There is no OAuth over
stdio: the agent key goes in the client's environment, not on the command line:
```bash
claude mcp add --scope user casefile-stdio --env TRACKER_MCP_TOKEN=<token> -- \
docker compose -f ~/casefile/docker-compose.prod.yml run --rm --no-deps -T \
-e TRACKER_MCP_TOKEN mcp python -m app.mcp --stdio
```
The installation has to be up: the stdio process brings no database of its own. Each
client session is a process of its own, so HTTP stays the lighter choice wherever the
client supports it. An installation image older than the stdio mode answers
`unrecognized arguments: --stdio` — update it first.
**A second agent, without the terminal.** **Connect an agent** on the board shows this
installation's MCP address and ready-made snippets. **Access** lists every way in, in
three sections: agent connections (OAuth sign-ins), agent keys and sign-in sessions —
yours, or every one of the installation if you are an administrator: who it speaks for,
who issued it and when it was last used. A connection is disconnected there and a key
revoked. For a client without OAuth you register an agent, issue its own key there and
copy the snippet with the key already in it — shown once. Give each agent its own
sign-in or key and its case entries are signed with its name. On a shared installation
every person does this for their own agents, without the administrator, and sees only
the connections and keys they issued or that speak for them.
### Tell it what to do
Connecting the agent is only the wiring. Once it is done, tell the agent these, word for
word.
Have work to hand over? Say:
> File tasks in Casefile for my work: a project for it if there is none yet, and tasks with all their sections and checks, each small enough for one agent to finish in one go, each naming its environment in `context` — where the work lives and how to check it is done. Don't start the work itself; if I haven't described it yet, ask me.
Then, in a new agent session, say:
> Carry out the tasks for this work from the Casefile tracker. Hand them to agents, one task per agent, to save your own context, and give them cheaper models where those cope.
The two phrases go to different agent sessions: the second agent starts with a clean
context and knows only what is in the task cases. The board carries the same phrases,
with copy buttons, on its `/start` page.
## Tools
Every MCP tool the server offers, grouped by area (`app/mcp/tools/`):
**Tasks**
- `get_task` — returns everything about one task in a single call: card, parent and children, links, computed features, latest summary, open questions, unresolved remarks, case index and transition targets
- `search_tasks` — searches tasks by a query-language string, by separate conditions, or by both
- `create_task` — creates a task in `backlog`, optionally as a child of a parent task
- `update_task` — changes the given fields of a task; fields left out stay as they are
- `transition` — moves a task to another status along the fixed transition table
- `close_task` — closes a task: files entries, verdicts and the final summary and moves it to `done`, in one transaction
- `move_task` — moves a task, or each task of a list with an outcome per key, to another project with a reason; its previous key keeps leading to it
**Case**
- `read_entries` — returns entry bodies of one task's case, with payload, in number order
- `add_summary` — files a summary: the handover note of a case, in four parts
- `add_entry` — files an entry without payload: a decision, attempt, finding, artifact, remark or note
- `ask` — files a question to registry participants
- `answer` — answers a question of the same task
- `resolve` — resolves a remark on a task: its outcome and where the work went
- `add_verdict` — files the outcome of one review check
- `read_project_entries` — returns entry bodies of one project's case, with payload, in number order
- `add_project_entry` — files a decision, finding, artifact or note in a project's case
**Links**
- `link` — links two tasks and files `link_added` in both cases
- `unlink` — removes a link and files `link_removed` in both cases
**Projects & participants**
- `get_project` — returns one project by its key: key, title, description, current attribute values and the index of its case
- `list_projects` — lists the installation's projects: key, title and archive time; archived ones only when asked
- `list_participants` — lists the participant registry: the possible addressees of a question
- `create_project` — creates a project
- `update_project` — changes a project's title and description, recording each change in its case
- `archive_project` — archives a project with a reason, freezing it and its tasks against changes
- `restore_project` — restores an archived project with a reason
- `set_attribute` — sets the value of a project attribute, creating it or changing it with a reason; the history stays in the project's case
- `remove_attribute` — removes a project attribute with a reason, filing its last value in the project's case
- `register_participant` — registers a human or a permanent agent
- `update_participant` — changes a participant's description
**Journal**
- `wait_journal` — returns journal entries after a sequence number, waiting for new ones
## Everyday
| | |
|---|---|
| Update right now | run the install line again |
| Turn auto-update off | `CASEFILE_AUTO_UPDATE=false` in `~/casefile/.env` |
| Stay on one release | `CASEFILE_VERSION=0.9.4` in `~/casefile/.env` |
| Stop / start | `docker compose stop` / `docker compose start` in `~/casefile` |
| Remove everything, data included | `docker compose down -v` in `~/casefile` |
| Move to another machine or your own server | [`docs/moving.md`](docs/moving.md) |
| Back up your data / restore into a clean install | [`docs/backup-restore.md`](docs/backup-restore.md) |
Ports and other settings live in `~/casefile/.env` — see [`.env.example`](.env.example).
### Updates
A new version of Casefile is a release: a git tag `vX.Y.Z` with its images on ghcr.io
under the version and under the `stable` channel. Every installation follows `stable`
by default. It checks when Docker starts and then once an hour, at a slightly random
minute, so a release reaches it within about an hour and ten minutes, with nothing to
restart. Commits to `main` without a tag never reach an installation. The update
recreates the Casefile containers and keeps your data in its volumes. An agent in the
middle of an MCP call when that happens gets a dropped connection and has to retry.
The first release on this channel was 0.2.0. An installation from before it (on
`latest`) moves to `stable` by itself the next time Docker starts, and from then on
checks every hour. A release can also bring a new updater: the update to that release is
still done by the old one, which is then replaced by itself, so what a new updater adds
(such as the rollback below, new in 0.3.0) covers updates from the next release on. If you set
`CASEFILE_VERSION=latest` in `.env` yourself, remove the line to follow releases.
`CASEFILE_UPDATE_INTERVAL` sets how often to check (hours, or `30m`; `0` means only
when Docker starts). If a release fails to start, the installation goes back to the
version it ran before and does not try that release again; the next release is installed
as usual. `docker compose logs updater` tells what happened.
A release that changes the database schema costs one more step. Before installing it,
the updater takes a snapshot of the database (`pg_dump -Fc`, the same format as
[backup and restore](docs/backup-restore.md)). The snapshot stays inside the updater
container, at `/tmp/casefile-before-update.dump`, and takes about as much space as a
manual backup. If that release then fails to start after changing the schema, the
database goes back to the snapshot before the previous version starts again. So the
schema and the data are exactly as they were before the update, and a manual
`docker compose up -d` works as usual. The price: **anything written between the
snapshot and the rollback is lost.** That window is the failed start, up to a few
minutes. While the new version is being brought up, the old one keeps answering for a
few seconds. The snapshot is deleted once the update succeeds or the database is
restored. If the snapshot cannot be taken, that release is not installed this time. If
it cannot be restored, the previous version runs on the new schema, the snapshot is kept,
and the log says how to copy it out.
## Network mode
Out of the box Casefile listens on localhost only, and you type nothing: the installation
creates an administrator account for you (`owner@localhost`) and the board signs into it
by itself. To reach it from other machines, turn on **sign-in**: then everyone signs in
with their own email and password, and every entry is signed by the person who made it.
It is one team per installation — everyone signed in sees every task. The only role is
the **administrator** flag, and all it opens is managing people.
1. Add to `~/casefile/.env`:
```bash
CASEFILE_LOGIN=password # everyone signs in with email and password
CASEFILE_BIND=0.0.0.0 # publish the board and MCP beyond localhost
TRACKER_MCP_PUBLIC_URL=http://<server>:8100/mcp # what agents on other machines use
```
2. Run `docker compose up -d` in `~/casefile`.
3. Give yourself a password. The administrator account the installation made has none;
this prints a generated one, once:
```bash
docker compose run --rm api python -m app.cli account-password --email owner@localhost
```
Add `--set-password` to type your own instead (12 characters at least, asked twice,
no echo). Your email can be changed too:
`account-update --email owner@localhost --new-email you@example.com`.
4. Add your teammates — on the board, or on the server:
```bash
docker compose run --rm api python -m app.cli account-create --email alice@example.com --name alice
```
It prints Alice's password once; hand it to her. `--admin` makes her an administrator
too. `account-list` shows everyone, `account-update --disable` locks a person out and
revokes their sessions and every connection and key they issued to their agents (their
past entries stay signed with their name), and
`account-password` resets a forgotten password. Casefile sends no mail: there is no
address confirmation and no reset link.
The board at `http://<server>:8080` now opens with a sign-in screen. Agents sign in with
OAuth behind TLS (below); **Connect an agent** shows the address from
`TRACKER_MCP_PUBLIC_URL`. Each person's agent machine gets the plugin, the skill and the
sign-in with one line — no Docker and no service installer there:
```bash
curl -fsSL https://raw.githubusercontent.com/azimov777/casefile/main/install.sh | CASEFILE_SKILL_ONLY=1 CASEFILE_URL=https://mcp.casefile.example.com/mcp sh
```
The steps for the agent are in
[the agent guide](docs/agent-install.md#joining-an-installation-someone-else-runs).
**Coming from the owner password.** An installation locked with `TRACKER_PASSWORD_HASH`
before accounts existed keeps working after the update: sign-in turns on by itself, and
the old password becomes the password of the administrator account `owner@localhost` —
sign in with that email and the same password. The hash in `.env` is no lock any more; it
is only carried over once, and a password you set later is never overwritten by it.
**Plain HTTP is a hole.** Without TLS the passwords, the session cookies, the keys and
the agents' tokens cross the network in clear text for anyone on the path to read. Casefile
does not do TLS itself. Anywhere beyond a network you trust, keep `CASEFILE_BIND=127.0.0.1`
and put a reverse proxy with TLS in front of both ports — for example Caddy, which gets the
certificates and sends `X-Forwarded-Proto` by itself:
```
casefile.example.com {
reverse_proxy 127.0.0.1:8080
}
mcp.casefile.example.com {
reverse_proxy 127.0.0.1:8100
}
```
with `TRACKER_MCP_PUBLIC_URL=https://mcp.casefile.example.com/mcp`. A proxy that sends
`X-Forwarded-Proto: https` gets the session cookie marked `Secure`.
**Agents sign in with OAuth.** With sign-in on and `TRACKER_MCP_PUBLIC_URL` on `https`, a
client that speaks MCP OAuth (Claude Code, Codex) needs only the address, no token. It
opens a page on the MCP host: the person signs in with email and password and picks which
agent the client acts as. By default it is their own agent, created on the first
sign-in: Alice's Claude Code signs its case entries as `claude_alice`, her Codex as
`codex_alice` (`agent_<name>` for other clients). The list holds their own agents and
agents without an owner, never someone else's. The connection counts as issued by that
person: they see and disconnect it on **Access**, an administrator sees all. Disabling
the person's account revokes every connection and key they issued — their agents' too:
a connection cannot renew itself and has to be signed in anew once the account is back.
Harnesses without OAuth, and a journal watcher running between sessions, use a key the
person issues to their agent on **Access**. What the proxy must do:
- send the **whole** MCP host to port 8100, not only `/mcp`: sign-in also uses
`/.well-known/…`, `/register`, `/authorize`, `/token` and `/oauth/…` at the root of the
host named in `TRACKER_MCP_PUBLIC_URL`;
- keep the client's `Host` header. Caddy does; nginx needs `proxy_set_header Host $host;`.
With sign-in on, MCP answers only on the host of `TRACKER_MCP_PUBLIC_URL`, and a request
under another name gets `421`.
Over plain `http` beyond localhost there is no OAuth at all — agents connect with a key
from **Access**. On a machine of your own (sign-in off, ports on localhost) an agent is
signed in at once, without a page: Claude Code as `claude`, Codex as `codex`, any other
client as `agent`, each created when first needed.
**Name your proxy.** Sign-in tells guessers apart by address (see **Guessing** below). Behind
a proxy every request arrives from the proxy, so the board must be told which address is
the proxy; only then does it take the browser's address from the proxy's
`X-Forwarded-For`. From anyone else that header is ignored — anybody can write it. Add to
`~/casefile/.env`:
```bash
CASEFILE_TRUSTED_PROXIES=172.18.0.1 # the address the board sees the proxy come from
```
and run `docker compose up -d`. That address is not the proxy's own: it is whatever
Docker shows the board. With the proxy on the same machine and `CASEFILE_BIND=127.0.0.1`,
it is the gateway of the installation's network, on Linux and Docker Desktop alike:
```bash
docker network inspect casefile_default -f '{{range .IPAM.Config}}{{.Gateway}}{{end}}'
```
To check, run `docker compose logs ui`: each request line starts with the address it came
from — with the proxy named, the browser's; without, the proxy's. Several proxies or a
network go comma-separated (`172.18.0.1,10.0.0.0/8`). The network gets its address when it
is created, so after `docker compose down` check the gateway again. Keep
`CASEFILE_BIND=127.0.0.1` behind a proxy: Docker Desktop shows **every** connection to a
port published to the network as `192.168.65.1`, so naming that address would let anyone
claim any address. Without this line nothing breaks, but everyone behind the proxy shares
one address — and one guesser holds everybody at "try again later" again.
What else to know:
- **No sign-in, no network.** With `CASEFILE_BIND` beyond localhost and sign-in off, the
board refuses to start instead of handing the administrator key to the whole network;
`docker compose logs ui` says why.
- **Sessions.** A sign-in lasts 7 days (`TRACKER_SESSION_HOURS`). A session is a token
with a deadline, kept in the database: restarting the installation does not end it.
**Sign out** revokes it at once, a changed or reset password ends the person's other
sessions, and disabling an account revokes all its sessions and every connection and
key the person issued to their agents: enabling it again brings none of them back.
- **Guessing.** Wrong passwords are counted per address and per email, within a minute.
After 5 from one address, sign-in answers "try again later" to that address — the right
password included — until the minute has passed; after 5 for one email, from wherever
they come, that email waits the same way. Other people sign in as usual. On top of that
the whole installation takes at most 100 wrong passwords a minute, to keep guessing
from burning the processor; guessing spread over many addresses and many emails that
reaches it keeps everyone at "try again later" for as long as it goes on (an IPv6
client counts as its whole `/64`). Open sessions and the agents, which use tokens, are
not affected. A client is the address that opened the connection, or the one your
named proxy reports (above). Docker Desktop hides the address of every connection from
the network behind one of its own, so there the board tells clients apart only behind
a proxy on the same machine.
## Under the hood
Python 3.14 · FastAPI · PostgreSQL · MCP over streamable HTTP · React 19 · Vite · Tailwind. The backend sits at the repository root, the web UI in [`ui/`](ui). The web UI speaks English and Russian; the design docs, the [developer guide](docs/DEVELOPMENT.md) and the agent-facing texts are in Russian for now.
## Contributing
Issues and pull requests are welcome — start with [CONTRIBUTING.md](CONTRIBUTING.md). Commits need a sign-off (`git commit -s`): it certifies you have the right to submit the code, and CI checks it.
## License
[MIT](LICENSE)
---
**Hiring?** I built Casefile and would be glad to hear about roles at **Anthropic** or **OpenAI** — reach me through [GitHub](https://github.com/azimov777).
TDQS
Scored across 30 tools
Most tools target clearly distinct resource+action pairs, and descriptions explicitly delineate entry types (summary, verdict, question, answer, resolution, generic entry). A couple of near-overlaps exist: transition (status change) vs move_task (project move), and add_entry vs add_project_entry share the same action on different scopes, which could cause occasional misselection.
The dominant pattern is consistent snake_case verb_noun (read_project_entries, create_task, update_task, close_task, add_verdict, etc.). A handful of tools break it with bare verbs (link, unlink, ask, answer, resolve, transition), and the get_/read_ prefix usage is not perfectly uniform, but everything remains readable and lowercase.
30 tools is above the comfortable range and feels heavy, but the domain is genuinely broad (projects, tasks, entries, links, participants, attributes, journal). Each tool maps to a distinct operation, yet the surface could likely be consolidated (e.g. entry-creation variants).
Full lifecycle coverage: project create/update/archive/restore/list/get, task create/update/move/transition/close/get/search, entry add/read, links link/unlink, participant register/update/list, attributes set/remove, and a journal stream. Entries are intentionally immutable and projects archived rather than deleted, so no obvious dead ends.