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docmancer

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini wrote on your machine, then carries the durable parts to every agent. It is local-first and under MIT license.

Install / Use

npx skills add docmancer/docmancer

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Supported Platforms

Claude Code
Gemini CLI
Cursor
OpenAI Codex

Our assessment of docmancer

docmancer scores 89/100 on our quality scale, 392nd of 965 AI & Machine Learning skills we index (top 41%).

Its SKILL.md is 17 KB long, well organised into 17 sections with 18 code examples: a thorough specification that gives an agent plenty to work with.

It has 133 GitHub stars, a meaningful sign that others use it.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
9/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 3 months ago, so docmancer is actively maintained.
  • Our last check on 2026-10-18 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

docmancer compared with similar skills

All 4 of these similar skills score higher than docmancer; compare them before choosing.

SkillScoreStarsUpdatedFormat
docmancer (this skill)by docmancer891333mo agoSKILL.md
claude-memby thedotmack100113.5ktodayCLAUDE.md
Agent-Reachby Panniantong100109.2ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10090.9k10d agoCLAUDE.md
headroomby headroomlabs-ai10078.9ktodayCLAUDE.md

Frequently asked questions

How do I install docmancer?
Run npx skills add docmancer/docmancer. The install tabs above show the steps for each supported agent.
Which AI agents does docmancer work with?
It is written for Claude Code, Gemini CLI, Cursor and OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
Is docmancer safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is docmancer still maintained?
The repository was last updated about 3 months ago, so docmancer is actively maintained.
<!-- mcp-name: dev.docmancer/docmancer --> <div align="center"> <img src="https://raw.githubusercontent.com/docmancer/docmancer/main/readme-assets/wizard-logo.png" alt="" width="72" />

Docmancer

Your AI coding environment, restored on every machine.

PyPI version Downloads Python 3.11+ License: MIT Stars

Website  ·  Documentation  ·  Blog  ·  Changelog  ·  Discussions

<img src="https://raw.githubusercontent.com/docmancer/docmancer/main/readme-assets/web-readme.png" alt="The Docmancer local app showing agent memory, the Shared Memory file tree, and the Library" width="1000" /> </div>

Your coding agents remember what happened on one machine

Agent backup and restore are development-preview commands. Local encrypted archives are available now. Managed Cloud snapshots remain gated on migration and recovery acceptance.

Docmancer securely restores their sessions, memory, and setup, then makes the useful project context available to every agent you use.

Claude Code and Codex can search the files they already wrote on one machine. A normal dotfile tool can copy directories. Neither gives you an agent-aware, secret-stripped backup with structural verification, project mapping, conflict quarantine, and a reviewed path from raw history to shared project memory.

Start by seeing what Docmancer can protect:

docmancer backup --dry-run

Create a free passphrase-encrypted local archive:

docmancer backup --local --to ~/Backups/agents.dmbak

On a new machine, close Claude Code and Codex and preview the restore:

docmancer restore ~/Backups/agents.dmbak --dry-run
docmancer restore ~/Backups/agents.dmbak

Docmancer restores missing history, skips identical files, merges only safe configuration, and quarantines divergent sessions. It never copies authentication stores, .env files, literal MCP environment values, caches, logs, telemetry, or machine keys.

After backup or restore, local consolidation finds durable decisions and constraints in the protected histories. Every proposal links to exact transcript evidence and waits for review:

docmancer consolidate
docmancer consolidate --review PROPOSAL_ID
docmancer consolidate --approve PROPOSAL_ID

Your agents already learned this. They just cannot tell each other.

Claude Code knows why you moved off Railway. Codex learned your migration convention. Cursor is still following a rule you overruled two months ago. Each agent wrote something down, none of them agree, and none of it is anywhere you can read.

That knowledge is real, and it is already on your disk. It is sitting in CLAUDE.md files, AGENTS.md files, Cursor rules, agent memory directories, and session history, in a different place and a different format for every tool you use.

Docmancer is built around two questions, in this order:

  1. I re-explain my project to every coding agent. How do I get them all working from the same context? Docmancer arranges the durable parts as plain local Markdown you can read and edit, then delivers the relevant files to every agent you connect, so a decision you record once reaches all of them.
  2. What do my coding agents already know about me and my working style? Docmancer indexes the memory, instructions, and rules they wrote on this machine, and keeps the contributing source attached to every claim, so you can read the answer instead of guessing at it.

Nothing leaves your machine unless you ask it to. There is no telemetry, no account, and no API key needed for the core product.

Install

pipx install docmancer
pipx ensurepath
export PATH="$(pipx environment --value PIPX_BIN_DIR):$PATH"
docmancer setup

pipx ensurepath makes the change persistent for future terminals. The export line makes Docmancer available in the current terminal immediately, which matters in an existing SSH session. If docmancer still reports command not found, reconnect over SSH and try again.

If you use uv, uv tool install docmancer installs it the same way.

setup finds every supported coding agent, shows you one complete plan and privacy warning, and waits for your confirmation before it changes anything. Then it indexes what it found, builds your canonical memory, installs the agent skills, and turns on automatic recall where the agent supports it.

Ask it something:

docmancer ask "Why did we choose Railway?"

You get a bounded, cited answer built from your own agents' evidence. Then open the app for the current project:

cd /path/to/your-project
docmancer web

That is the whole first run. It takes about a minute, and setup does not modify the project you are standing in.

What you get

One memory instead of six. Every supported agent reads from the same canonical Markdown, so a decision recorded once is available to Claude Code, Codex, Cursor, Gemini, and the rest without you copying it around.

Answers with receipts. Recall returns the mandatory policy, the curated memory, and the supporting agent evidence with stable citations, so you can see which agent said what and when. The optional language model turns that evidence into prose but never chooses what goes into it.

Files you own, not a database. Shared Memory is ordinary Markdown in ordinary directories. You can open it in your editor, commit it, grep it, or delete it. Stable docmancer://memory/<id> addresses keep working even after you move a file.

Local and offline by default. The default profile uses SQLite FTS5, sqlite-vec, and a small vendored embedding model. No daemon, no model download, no network call, no key.

Edits that cannot clobber each other. Changing or moving an existing memory file requires the content hash you last read, so one agent cannot silently overwrite a newer decision made by another.

Approval before anything is written. When you ask Docmancer to remember or change something, it prepares one complete file proposal and shows you the diff. The default answer is no, and a later "yes" in conversation never applies a stored proposal.

Take the same memory to a VPS or another machine

The complete product above is free on one machine. Optional paid Personal Sync adds encrypted transport, managed revision history, devices, and recovery when you work across a laptop, VPS, or other machines.

On the machine that already has your memory, run:

docmancer cloud connect

Sign in through the browser. Docmancer creates and checks a recovery kit, shows it once for offline storage, and starts the first encrypted upload automatically. The account page then asks for a payment method to start the 30-day trial. There is no separate recovery verification or first-sync command.

On the VPS or second machine, install Docmancer and run:

docmancer setup
docmancer cloud connect

The new machine shows a four-word pairing code. Run docmancer cloud connect on an already connected machine, confirm the same four words, and approve it. Then run the command once more on the new machine. Docmancer downloads the machine-wide Shared Memory tree and any project trees mapped on that machine. If every connected machine is unavailable, use docmancer cloud connect --recover and enter the offline recovery kit.

The selected monthly or yearly subscription begins automatically after the trial unless you cancel. A failed renewal has a fixed 7-day upload grace period, followed by a 30-day read-only pull and export window before hosted ciphertext is scheduled for deletion. Local memory and every local feature keep working in every billing state. See the Personal Sync guide for the full journey.

See what each agent actually receives

Run docmancer web and open Shared Memory. The left pane is the real file tree on disk, the middle pane reads the selected file with its provenance, and the right pane lists your connected agents. Select an agent to inspect the exact bounded projection it will receive, before it receives it.

The scaffold is opinionated, but the files are yours:

~/.docmancer/tree/                 # machine-wide, follows you between projects
├── profile/
│   ├── about.md
│   └── preferences.md
├── principles/
│   └── working-style.md
├── projects/
│   └── active.md
└── shared/

<project>/.docmancer/tree/         # per project
├── overview.md
├── decisions/
├── constraints/
├── workflows/
└── lessons/

Connect your agents

docmancer setup installs everything it detects. To manage one integration on its own:

docmancer agent install claude-code --hooks
docmancer agent install codex --hooks

| Agent | Skill file | Automatic recall | Session capture | MCP | | --- | --- | --- | --- | --- | | Claude Code | Yes | Yes | Yes | Yes | | Codex (CLI, app, desktop) | Yes | Yes | Yes | Yes | | Cursor | Yes | | | | | Cline | Yes | | | | | Gemini CLI | Yes | | | | | OpenCode | Yes | | | | | GitHub Copilot | Yes | | | | | Claude Desktop | Manual upload | | | Yes |

Installed skills teach an agent when to ask Docmancer for prior decisions and how to write deliberate memory when you explicitly request it, which is why every supported agent can use the same memory. Automatic recall and session capture need lifecycle hooks, and only Claude Code and Codex expose those today, so the other agents recall on demand through their skill file instead.

MCP is an alternative transport over the same local services, not a second memory store:

docmancer mcp install codex
docmancer mcp doctor

Record a decision on purpose

Discovery finds what your agents already wrote. When you want something recorded deliberately:

docmancer write $'# Deployment\n\nDeploy the API on Railway.' \
  --path decisions/deployment.md \
  --scope project

Read it back later, from any agent or from your shell:

docmancer read decisions/deployment.md

Or let Ask do it, with an approval step:

docmancer ask "Remember that production releases require a smoke test"
docmancer ask "Update decisions/release.md to require two reviewers" --apply

Everyday commands

| Command | Purpose | | --- | --- | | docmancer setup | Discover agent memory and connect every supported agent. | | docmancer ask "..." | Recall evidence, answer a question, or propose one memory change. | | docmancer web | Open the local app for the current project. | | docmancer common | Show what several agents recorded independently. | | docmancer delivery | Show installed integrations, recall state, and recent use. | | docmancer timeline | Show how curated memory changed over time. | | docmancer write ... --path file.md | Write one deliberate Markdown memory file. | | docmancer read <address-or-path> | Read one memory file with its provenance. | | docmancer edit ... --expected-hash <hash> | Safely edit a memory file. | | docmancer move ... --expected-hash <hash> | Safely rename or move a memory file. | | docmancer import ./notes | Copy arbitrary Markdown into the project inbox.

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars133
CategoryAI
Updated2mo ago
Forks12

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions