Open-Source DevOps · openrecall

openrecall

OpenRecall is an open-source, privacy-focused screenshot capture and search tool that lets users access their digital history locally without cloud uploads. It offers semantic search via OCR and local AI, positioning itself as an alternative to proprietary solutions like Microsoft's Windows Recall.

Talk to DEV.co Discuss Implementation

Source: GitHub — github.com/openrecall/openrecall

2.9k

GitHub stars

190

Forks

Python

Primary language

AGPL-3.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	openrecall/openrecall
Owner	openrecall
Primary language	Python
License	AGPL-3.0 — OSI-approved
Stars	2.9k
Forks	190
Open issues	78
Latest release	Unknown
Last updated	2025-09-24
Source	https://github.com/openrecall/openrecall

What openrecall is

Python-based application that captures periodic screenshots, performs local OCR and semantic indexing, and provides a web-based UI (localhost:8082) for searching and browsing captured content. Data is stored locally; optional encrypted volume support is documented.

Quickstart

Get the openrecall source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/openrecall/openrecall.git2cd openrecall3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Privacy-Conscious Knowledge Workers

Users who need searchable digital history for productivity and memory enhancement but cannot accept cloud data transmission or third-party processing. Suitable for sectors with data residency or compliance constraints.

Self-Hosted / On-Premise Deployments

Organizations requiring local-only AI inference and storage. No internet dependency or cloud account required; data remains under organizational control.

Cross-Platform Development and Testing Teams

Teams working across Windows, macOS, and Linux who need consistent screenshot history and search capabilities without platform lock-in or specialized hardware certification.

Implementation considerations

Requires Python 3.11; ensure target hosts meet runtime dependencies before deployment.
Screenshots are stored locally (configurable path); plan storage capacity and disk encryption strategy upfront.
Local AI/OCR inference runs on-device; verify host hardware can sustain periodic screenshot capture and indexing without performance degradation.
Web UI listens on localhost:8082 by default; assess network isolation and access control for multi-user or shared environments.
No built-in update mechanism documented; manual pip reinstall needed for upgrades; plan rollback strategy.

When to avoid it — and what to weigh

Need Production-Grade Stability — No official release since project creation (2024-05-29); latest commit was 2025-09-24. Active development but no versioned stable release indicates potential API/behavior volatility. 78 open issues warrant review.
Commercial Redistribution Required — AGPL-3.0 license requires any derivative works or network service modifications to disclose source code and license under AGPL-3.0. Commercial closed-source products built atop OpenRecall will face compliance friction.
Minimal Maintenance Tolerance — Single contact ([email protected]) and community-driven contributions. No SLA or commercial support structure. Dependency on volunteer maintainers for bug fixes and security patches.
Enterprise Procurement Velocity — Lack of formal release, documented security audit, or commercial backing may slow enterprise security review and procurement cycles.

License & commercial use

OpenRecall is licensed under AGPL-3.0 (GNU Affero General Public License v3.0). This is a copyleft license: any modifications or network-exposed derivative works must be distributed under AGPL-3.0 and source code must be disclosed. Commercial closed-source products cannot embed OpenRecall without violating the license.

AGPL-3.0 is not a permissive OSI license for proprietary commercial use. You may run OpenRecall commercially (e.g., as a service to end-users) provided you: (1) disclose all source code modifications, (2) offer users the right to download and modify the source, and (3) license derivative works under AGPL-3.0. Bundling into a closed-source commercial product requires legal review and likely relicensing negotiation with maintainers.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	Medium

Security considerations

OpenRecall claims privacy-first design with local storage, no cloud transmission, and optional encryption support. Code is auditable (open-source), reducing backdoor risk. However: (1) no published security audit or threat model, (2) OCR/AI inference components and their dependencies require validation, (3) screenshot data at rest depends on user-implemented encryption (not built-in by default), (4) no formal vulnerability disclosure process documented. For sensitive use cases, request a detailed security review and penetration test before deployment.

Alternatives to consider

Microsoft Windows Recall

Proprietary, cloud-backed, Windows-only, and closed-source. No transparent audit possible, but offers tighter OS integration and Microsoft support. Requires Copilot+ certified hardware.

Rewind.ai

Closed-source, macOS-only, requires cloud connectivity (ChatGPT integration), and subscription-based. Offers commercial support but no privacy guarantee for on-device-only use cases.

Codeshot / Screenium / ScreenFlow

Purpose-built screenshot and screen recording tools with UI polish and commercial support. Less AI-driven semantic search; primarily for capture and organization rather than searchable history.

Software development agency

Build on openrecall with DEV.co software developers

OpenRecall offers transparent, local-only digital history search. If you need audit-able code, no cloud dependency, or cross-platform support for knowledge workers, request a technical POC or review the GitHub repository. Confirm AGPL-3.0 compliance and security posture with your legal and security teams before production use.

Talk to DEV.co

Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

opensre reconmap psutil

Related on DEV.co

Explore the category and the services that help you build with it.

Open-Source DevOps AI Application Development Custom Software Development Talk to DEV.co

openrecall FAQ

Can I use OpenRecall in a commercial product or service?

Only if you disclose all source code and relicense under AGPL-3.0. You cannot embed it in a closed-source commercial product without explicit relicensing permission from the maintainers. Consult legal counsel.

Is my data encrypted by default?

No. Screenshots and database are stored locally in plaintext (in user data directory) by default. The README suggests optional encrypted-volume setup; follow the encryption guide for sensitive data.

What happens if the project is abandoned?

Code remains open-source and auditable. You can fork and maintain it yourself, but you'd lose upstream updates, bug fixes, and community support. No commercial SLA or backup support organization exists.

Does OpenRecall require internet or cloud services?

No. It is fully local-first. All processing (OCR, indexing, search) runs on-device. No cloud or internet connection is required or used.

Custom software development services

From first prototype to production, DEV.co delivers software development services around tools like openrecall. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source devops and beyond.

Evaluate OpenRecall for Your Privacy-Focused Workflow

Talk to DEV.co Schedule a Consultation