Inkfold vs Weave

Inkfold and Weave are both productivity tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Inkfold

Inkfold sits between you and your AI subscriptions, indexing conversation history across ChatGPT, Claude, Gemini, Grok, and others, then injecting the relevant context when you open a new chat on any vendor. The core workflow is capture-remember-inject: import existing chats, let the tool extract entities and decisions, then route new queries through whichever model fits the task with your memory already attached. It works well for solo power users who juggle multiple subscriptions and lose context at every vendor boundary. The ceiling appears fast for teams: shared memory and the admin console are paid-only features, and the product is still in private alpha — so the reliability guarantees you need before connecting production workflows do not yet exist in public form.

Weave

Weave watches your screen via OCR, pulls Gmail and Calendar data, and stores all of it locally in SQLite — so the context it works from is yours and stays on your machine. The morning brief surfaces to-dos, overdue commitments, and response debt before your day starts. When you need action rather than summary, a browser agent plans and executes steps toward a goal, and a separate macOS agent drives native apps by voice or intent. The ceiling appears early: this is a solo developer project at 72 commits with no hosted fallback, no API, and no documented path for teams or shared memory.

Attribute	Inkfold	Weave
Pricing	Paid	Free
Price	$7/month	—
Free trial	No	No
Open source	No	Yes
Has API	No	No
Self-hosted option	No	Yes
Platforms	Web app, CLI, mobile app	macOS
Pros	Cross-vendor memory injection, so you stop re-establishing project context every time you switch from Claude to GPT or Gemini — the AI you open next already knows the decisions the last one helped you make. Bring-your-own-key support for every major vendor, so your queries route through your own API credentials and you control cost exposure instead of burning through a fixed monthly message cap. Three retention modes — indexed, E2E-encrypted private, and incognito — so you can keep sensitive conversations opaque to the platform without giving up the memory layer entirely. Shared team memory with pooled message credits, so context one teammate builds in Claude is available when the next person opens a GPT session without anyone manually syncing notes. Local model support via Ollama, so teams that run self-hosted LLMs for compliance or cost reasons can still participate in the shared memory layer alongside cloud vendors.	All captured data — screen OCR, email, calendar, contacts — is stored locally in SQLite, so you are not trading your personal context for a vendor's data pipeline. The browser agent accepts a goal and executes the steps to reach it without per-step instruction, so repetitive research or form-filling tasks run without you staying on the loop. Commitment and response-debt tracking surfaces what you said you would do and have not done yet, which means the morning brief catches the dropped thread before the other person follows up. Native macOS app control by voice or stated goal means automation extends beyond the browser to the full desktop environment, so you are not limited to web-only task execution. Fully free with no paid-only features and self-hosted by design, so there is no pricing gate on any capability and no subscription to cancel when the project goes dormant.
Cons	The product is in private alpha, meaning you request access rather than sign up — teams that need a stable, documented API or guaranteed uptime before connecting real workflows have no current path to that on the public tier. No self-hosted deployment option exists for the memory layer itself, so organizations in regulated environments that cannot route conversation metadata through a third-party cloud must either wait for a custom enterprise contract or build their own context store — at which point Inkfold is not in the picture. Shared memory, the admin console, and audit logs are all paid-only features, so a team evaluating the free tier to validate fit will not encounter the core multi-user capability until after they have committed to payment. There is no documented API surface, which means you cannot programmatically read from or write to Inkfold memory inside your own applications or CI pipelines — teams that want memory as a service they call from code will move to a vector-store-backed solution like a self-managed RAG pipeline instead.	The setup requires cloning the repo and running npm dev commands — there is no packaged installer documented beyond electron-builder config. The first OS update that breaks an Electron or native dependency lands on you to debug, with no issue history and no maintainer response SLA. There is no API surface. Any workflow that needs Weave's memory or agents accessible from another tool, script, or service hits a dead end — teams who need that integration path switch to a self-hosted open-source alternative like Mem0 or a custom LangChain memory layer. The macOS agent and browser agent have no documented multi-user or profile separation. A household or small team that wants shared context or separate memory spaces finds no path forward in the current architecture — this is a single-user, single-machine design.

Bottom line

Inkfold is paid while Weave is free; Weave is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Inkfold and Weave?

Inkfold is Paid, while Weave is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Inkfold better than Weave?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Inkfold vs Weave: which should I pick?

Pick Inkfold if its pricing model, openness, or platform fit matches your constraints; pick Weave otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.