THE OPEN SOURCE WORK SYSTEM FOR YOUR AI

Manence makes your AI reliable over time.

Manence organizes your projects with your AI agent: each one has its own space, its documents and its record. You can see what is moving forward, what is stuck, and the decisions waiting for you.

The AI keeps that space up to date while it works and tidies it when the project closes. Useful knowledge is kept in your knowledge base. Mistakes that get spotted are fixed, and the fix is written down.

Free · Open source · Your files stay on your machine
Works with Claude OpenAI Grok
The Manence system: the M chip with your AI and your skills, linked to your knowledge base, your connectors and your history
§ 1 · A PREVIEW OF MANENCE UI: INTERFACE TO COME
  1. You see where your projects stand.

    Each domain with its workstreams: the ones that moved this week, the ones waiting for a decision, your knowledge base in the middle.

    Manence UI, the map of the Manence system on 12 October 2026: six domains (cadre, lancement, lecteur, marque, offres, site) and the inbox around the knowledge base, each workstream as a dot, a diamond on those waiting for a decision
  2. You know what is waiting for your decision.

    The decisions and actions waiting for you, oldest first, with the workstream they belong to and how many days they have been waiting.

    Manence UI, the To decide tab on 12 October 2026: fourteen items waiting for Alexandre, the oldest for 51 days, each with the workstream it concerns
  3. You find the work and the reasons behind the decisions.

    A finished workstream, opened on its files and its record: every decision is dated, with what was ruled out and why.

    Manence UI, a closed workstream opened on 12 October 2026: its files on the left, its record on the right at the Decisions section, four decisions dated 22 September with what was ruled out
Watch the video tour
§ 2 · THE LIFE OF A WORKSTREAM

A workstream, from opening to closing.

In Manence, a project is a workstream: a dated folder on your machine, with its documents and a record that states the goal, what has been decided and what is waiting.

  1. You open a workstream.

    You tell your agent: “open a workstream for the new home page”. It creates the folder and the record, with the goal and the context. It is an ordinary folder: you open it in the Finder or in File Explorer, you drop a mockup in it, you reread a draft there.

    production/site/done/20260922-home-manence-ui/
    About.md                       the record: goal, decisions, closing
    proposition-section.md         the proposed section, EN and FR
    video-parcours-clair-en.mp4    the take that was kept
    carte-radiale-clair-en.png     the screenshot of 22 September
    rendu-desktop-en.png           the render checked before the PR
    rendu-mobile-en.png
  2. You work with the AI.

    The agent keeps the record while the work goes on. A decision that has been made is dated, with its reason and what was ruled out. A decision still to be made is listed separately, with who has to make it and since when.

    site/in-progress/20261012-home-v6/About.md · 12 October 2026
    ## Decisions
    12 Oct, Alexandre: the hero is his own text (four versions
    ruled out […]: too much “AI copy”); […] “See how it
    works” first; a “Works with” row Claude · OpenAI · Grok,
    Mistral held back until a real trial.
    
    awaiting:
      - who: alexandre
        what: "[…] align the title, the meta description and
              the footer (FR and EN) on “reliable over time” […]"
        kind: decision
        since: 2026-10-12
  3. You pick up where you left off.

    A week later, or in a fresh session, you ask “where are we?”. The agent reads the record and picks up with the context. Manence UI, above, gives you the same thing as an overview.

    blank session · no history loaded · July 2026
    > where are we on the site?
    
    Workstream site/refonte-manence-site  (opened 6 July)
    Live       home v5, since 8 July
    
    Decisions
      8 Jul   Slate theme by default, independent of the OS.
      8 Jul   No two doors before the public release.
              Why: the repo was private. We don't show a door
              we cannot open.
      10 Jul  The repo is public. The condition is lifted.
    
    So         the waitlist goes, the two doors open.
  4. You close the workstream.

    Once it is delivered and approved, close-work files the folder among the finished workstreams, under the same name. Then it looks at what the workstream leaves behind: lasting facts go into your knowledge base, each release gets a date to measure its effect, and the log records what was delivered and what was learned, failures included.

    site/done/20260922-home-manence-ui/About.md · closing
    ## Closing
    Closed on 2026-09-23 (close-work), status: validated.
    Distilled: knowledge-base/produit/manence-ui.md (public presence)
      and knowledge-base/ops/systemes.md (home § 1-8, “dated proof” rule).
    Measurement scheduled: inbox/2026-09-23-mesure-home-manence-ui.md
      (weekly-review of 2026-10-06).
§ 3 · THE WEEKLY CHECK-IN

Once a week, you take stock.

You run the weekly review, or you ask “where are we?”. The agent sifts through your system and hands you a summary.

In it: the workstreams that have not moved in two weeks, the decisions that have been waiting for you too long, what is sitting in the inbox, the knowledge base pages due for a recheck, and whether a newer version of Manence is out. It proposes; it fixes nothing without you. It is a skill you run; you can also schedule it as a weekly routine. Nothing runs on its own unless you decided it.

§ 4 · A REAL CASE

A lead with no origin, one morning in June.

A case from my own use, at Intuition Software, which has developed and published the Jobaffinity ATS since 2009.

The request
A lead lands in the CRM, tagged “DIRECT, no source”. Where does it really come from?
The work
The lead analysis workstream has access to the CRM and to the site's analytics. The agent cross-checks the two and finds the origin: Brave Search, around 11 am, the site's tracker blocked by an ad blocker. Then it measures: 39% of web leads had been mislabeled for weeks.
The result
The analysis is delivered. The fix to the site is deployed the same day.
What remains for later
The log entry, dated, with the cause, the measurement and the fix. In the workstream's record, the decision to stop trusting the “DIRECT” tag is noted with its reason. If the question comes back, the answer is written and dated.

What the system brings here: the workstream was already connected to both tools, and the anomaly did not end up in a conversation. It left a trace.

log.md: decision log
## [2026-06-14] fix | Web lead attribution

Lead “DIRECT, no source”: CRM × analytics cross-check
→ true origin reconstructed: Brave Search, ~11 am
  (tracker blocked by an ad blocker).
Measured: 39% of web leads (28/71) mislabeled
for weeks.
Analysis delivered. Fix deployed the same day.

The system runs my three ventures.

Proof of practice, not of adoption: the system was built by running them.

Intuition SoftwareSINCE 2009

The company behind the Jobaffinity ATS: strategy, CRM, lead pipeline, support, daily monitoring, all logged.

The system itselfMANENCE.AI

Manence, and the site you are reading, built and run under Manence.

An AI media outletDECLIC.MEDIA

declic.media, over 200 articles in three languages, a newsletter, editorial workflows. The first account of this method is online there: “AI is great… at first”.

§ 5 · ON YOUR MACHINE

Your files stay on your machine.

A Manence system is a folder on your machine: markdown and a git repository. You open every document without Manence UI, with whatever text editor you like.

If you switch agents, the knowledge base, the log and the workstreams carry over as they are: nothing in there depends on an agent. Skills come along, in the Agent Skills format; only their hookup changes. Guardrails keep their mechanism, each tool has its own dialect. Subagents do not carry over.

Verified in real sessions: Claude Code (the native path, on macOS, Linux and Windows), OpenAI Codex and Grok Build. The detail, layer by layer: PORTABILITY.md. The full architecture: the documentation.

§ 6 · GET STARTED

Three steps to get started.

  1. Install the system.

    One command sets up a system in ~/manence.

    curl -fsSL --proto '=https' --tlsv1.2 https://manence.ai/install.sh | bash
  2. Let the agent ask its questions.

    Open Claude Code in the core (cd ~/manence/core then claude) and tell it: “run my first setup”. It asks your language, the name of the business, what it does, who works here, the voice, the direction, and fills in the system's identity with your answers.

  3. Open a first workstream with a real project.

    “open a workstream for ‹something you're working on this week›”. No exercises: real work.

PREREQUISITES git · Claude Code · bash · jq · python3 · macOS, Linux or Windows (Git Bash)

Manence is free: MIT code, CC BY-NC-SA doctrine. The agent has its own cost, set by its vendor; it is not included in Manence.

To understand the why before installing: the Manifesto. A partnership, a collaboration, a business need? Write to me.

§ 7 · QUESTIONS

The questions I get asked.

Who is Manence useful for?

Anyone who works with an AI agent on projects that last longer than one conversation: a freelancer, a small team, an executive following several topics at once. It was built on my three ventures, above. It asks you to be comfortable with a terminal and a folder of files.

What do I need to use it?

git, bash, jq, python3 and Claude Code, on macOS, Linux or Windows with Git Bash. And a real project for the first workstream.

What does it add if I already have an agent and skills?

An agent with skills knows how to do things. Manence gives it where to write and what to keep: one workstream per project, a record, a decision log, a knowledge base kept apart from drafts, and opening and closing steps. Your skills stay yours; they take their place in the system.

Do I have to organize and file things myself?

No. Opening, keeping up to date, filing and distilling are the agent's moves, described in its skills. You decide, you approve, you reread. You can also file things yourself when you want to: these are your folders.

Can I take my projects to another agent?

Yes for the knowledge base, the log and the workstreams: markdown and git, nothing else. Skills come along in the Agent Skills format, with a hookup to redo. Guardrails and subagents need adapting for each tool. Verified in real sessions: Claude Code, OpenAI Codex, Grok Build.

What does “my files stay on my machine” mean?

The system is a folder on your machine, versioned with git. There is no Manence server, no account, no telemetry. What your agent sends to its model is a matter between the agent and its vendor, not Manence.

Is Manence UI available, and is it required?

Not available: the repository is private, with no promised date. Not required: a Manence system is complete without it. It reads what the system writes and writes nothing itself; the same information is in the documents of the folder.

With an AI, it's great at first.
With Manence, that's only the beginning.