GITNUXSOFTWARE ADVICE
Personal LifestyleTop 10 Best Virtual Companion Software of 2026
Editorial roundup comparing virtual companion software options like Replika, Kindroid, and Kuki, with notes on fit and tradeoffs for users.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Replika is the best overall pick for people who want a continuous, relationship-style companion in mobile chat because its memory keeps the connection feeling consistent across sessions, while Candy.ai is the better alternative for teams that need steadier persona tone and pacing for ongoing chat-like engagement.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Replika
Long-term conversation continuity through Replika memory that retains relationship context across sessions.
Best for: Fits when individuals want a continuous, relationship-style companion in a mobile chat interface.
Kindroid
Editor pickCompanion memory persistence that keeps relationship details and preferences stable across sessions.
Best for: Fits when consistent persona behavior matters more than enterprise integrations.
Kuki
Editor pickPersona consistency controls that maintain character alignment across multi-turn conversation history.
Best for: Fits when conversational companions need consistent persona behavior plus API embed into a product workflow.
Comparison Table
Replika
consumerAI companion chatbot that learns from conversation to provide emotional support and simulated friendship.
Long-term conversation continuity through Replika memory that retains relationship context across sessions.
Replika’s core loop is real-time dialogue with an established companion identity that stays consistent over repeated chats. The product uses conversation history and stored preferences to keep topics and relationship-style framing active across time, rather than resetting every session. The companion experience is presented through an avatar interface that changes the way users experience turn-taking and back-and-forth conversation.
A tradeoff is limited controllability for buyers who want explicit intent routing, conversation scripting, or external tooling to steer dialogue states. Replika also focuses on consumer companionship behavior, so automation and admin controls for multi-user deployments are not a primary fit. The best usage pattern is personal, long-running companionship for individuals who want continuity and a conversational “relationship” tone.
- +Persistent companion personality keeps relationship-style dialogue consistent
- +Memory improves continuity for recurring topics and preferences
- +Avatar-based interface supports intuitive conversational turn-taking
- +In-chat safety filters reduce exposure to disallowed content
- –Limited admin controls and automation surface for managed deployments
- –External API access for custom integrations is not the main workflow
Solo users
Daily conversation with continuity
Fewer cold starts
People seeking emotional support
Reflective talk during downtime
More attentive interaction
Show 1 more scenario
Casual avatar-driven users
Chat paired with character presence
Higher engagement
The avatar UI reinforces conversational continuity and keeps engagement focused on dialogue.
Best for: Fits when individuals want a continuous, relationship-style companion in a mobile chat interface.
Kindroid
consumerAI companion app with customizable avatars, voice, and persistent memory.
Companion memory persistence that keeps relationship details and preferences stable across sessions.
Kindroid is built around user-authored companions where persona consistency is enforced through configuration and long-running conversation context. Memory persistence helps keep relationship details, preferences, and recurring story elements stable without requiring users to restate them each session. The experience centers on interactive dialogue management that responds to back-and-forth user prompts while maintaining character voice.
A key tradeoff is less suitability for high-throughput, system-integrated deployments because Kindroid is primarily an app-first companion workflow. It fits best when a single user or a small group wants repeatable character behavior across many conversations rather than building an enterprise chat integration pipeline.
- +Persistent character memory keeps preferences consistent over time
- +Persona and behavior controls produce steadier dialogue style
- +Character creation flow is practical for frequent companions
- +Built-in moderation reduces obvious policy-violating responses
- –Limited depth for external automation compared with API-first tools
- –Complex multi-character scenarios can drift without careful prompting
- –Fine-grained governance and audit tooling is not a primary strength
- –Latency can feel variable during long or demanding prompts
Solo roleplay users
Long-running character journaling sessions
Less repetition, steadier continuity
Relationship-focused writers
Dialogue rehearsal with a fixed persona
More coherent dialogue drafts
Show 2 more scenarios
Mental health support journaling
Emotion-aware conversation practice
Safer conversation boundaries
Safety filters and moderated chat reduce the chance of harmful guidance in sensitive topics.
Community storytellers
Recurring companion for story beats
Faster story iteration
Stable companion behavior supports repeatable prompts for scene and character evolution.
Best for: Fits when consistent persona behavior matters more than enterprise integrations.
Kuki
consumerAward-winning conversational AI chatbot with a distinct personality and entertainment focus.
Persona consistency controls that maintain character alignment across multi-turn conversation history.
Kuki is a virtual companion chat system focused on persona-driven conversations and everyday interaction patterns. It provides structured conversation building with configurable character behavior and memory persistence for continuity across sessions.
The product emphasizes dialogue management that can keep replies aligned to a defined persona role while handling user turn-taking. Kuki’s integration options center on API access for embedding companion chat into external experiences.
- +Persona configuration keeps responses consistent across extended chats
- +Memory persistence supports continuity without replaying full context
- +API integration supports embedding companion chat into external apps
- +Conversation controls reduce off-topic drift during multi-turn dialogs
- –Governance tooling for multi-character operations is limited
- –Advanced behavior tuning requires more setup than simple chatbots
- –Response customization options can feel narrow for niche dialogue trees
- –Latency-to-first-token can be noticeable during long responses
Indie developers integrating companions
Embed persona chat via API
Continuity in companion conversations
Product teams building chat experiences
Route companion turns to a character
Consistent persona behavior
Show 1 more scenario
Communications teams for daily engagement
Run recurring persona-driven check-ins
Repeatable companion engagement
Rely on configurable character behavior and memory persistence for ongoing everyday interaction patterns.
Best for: Fits when conversational companions need consistent persona behavior plus API embed into a product workflow.
Character.AI
consumerPlatform for creating and chatting with AI characters across fictional and real personas.
Persona-driven roleplay that preserves character voice and goals across many conversational turns.
Character.AI supports long-form conversational roleplay with tools that help sustain persona identity across turns, which is central to its virtual companion positioning. Users can steer tone and scenario through the chat interface, and the system responds with context-aware replies that track prior messages. The conversational experience generally prioritizes latency-to-first-token speed for interactive feel, which matters for continuous back-and-forth. The product also includes safety filter guardrails and content moderation layers that shape disallowed topics during chat.
- +Persona-first chat experience with clear roleplay steering
- +Conversation continuity supports long sessions without frequent resets
- +Safety filter guardrails limit disallowed content in-chat
- +Low-friction onboarding for creating and chatting with personas
- –Limited automation and API surface for external app integration
- –Governance controls like audit exports are not prominent for admins
- –Persona consistency can drift during extended scenario hopping
- –Context depth varies by interaction pattern and prompt style
Independent creators and storytellers
Daily roleplay companion for characters
More coherent storytelling sessions
Community moderators and hobby groups
Guided conversation roleplay activities
Safer chat engagement
Show 2 more scenarios
Customer support prototyping teams
Prototype persona-based FAQ chat flows
Faster prototype iteration
Teams test conversational tone and intent coverage before committing to custom agent builds.
Small personal productivity users
Companion for reflection and journaling prompts
Better daily prompt consistency
Users guide the companion through structured prompts to maintain a helpful conversational style.
Best for: Fits when individuals need fast, persona-driven companionship without building an integration workflow.
Candy.ai
consumer specialistAI companion platform offering customizable virtual partners with text and image generation.
Conversation pacing controls that adjust reply style and engagement cadence during ongoing chat sessions.
Candy.ai positions a virtual companion experience around character-driven chat sessions with built-in conversational pacing controls. The core flow centers on persistent persona behavior during dialogue and guided conversation styles that change how replies land turn by turn.
- +Persona-consistent conversation tone across extended chat sessions
- +Fast conversational turn-taking tuned for chat-like latency
- +Simple settings for directing companion behavior during dialogue
- +API-style embedding supports custom front ends and wrappers
- –Limited admin-style governance controls for multi-user deployments
- –Memory retention feels character-scoped rather than fully user-modeled
Adults seeking personalized companions
Maintain a recurring fictional persona
Reusable companion identity
Users wanting immersive interaction
Use voice plus text companion chat
Voice-enabled character talks
Show 2 more scenarios
Creators making adult character concepts
Build adult-oriented personas with images
Companion media workflow
Generate adult-focused companion personas and pair them with generated imagery in the same workflow.
Story-focused users
Generate scene images from chat
Chat-linked narrative visuals
Request visuals inside the conversation so generated images match the current scene or prompt.
Best for: Fits when a team needs consistent companion chat for relationship-style interaction with light integration.
SimSimi
consumerKorean-origin chatbot that responds using a database of user-submitted phrases.
End-user-first chat behavior that produces immediate, casual replies without dialogue scripting or external orchestration.
SimSimi provides a browser-based conversational companion that generates free-form replies to user prompts. Its core experience centers on character-style chat behavior and rapid back-and-forth turns without requiring dialogue scripting.
- +Fast conversational loop in a simple browser chat interface
- +Natural, casual tone that works well for informal roleplay
- +Low setup friction because no training pipeline is required
- +Supports multi-turn conversation without visible configuration steps
- –Limited API and automation surface for workflow integration
- –Few documented controls for safety filter configuration and reporting
- –Conversation outcomes are hard to standardize across users
- –No clear memory persistence controls for long-term context governance
End users wanting casual chat
Hold rapid character-style conversations
Fast, conversational responses
Community moderators testing engagement
Prototype browser-based companion interactions
Quick engagement signals
Best for: Fits when a team needs an easy conversational companion experience without integration or admin controls.
Kupid AI
consumer specialistAI companion platform offering virtual romantic partners with conversation and generated visuals.
Relationship-mode chat behavior that keeps persona tone aligned during ongoing back-and-forth sessions.
Kupid AI positions itself as a virtual companion app with a relationship-style chat experience focused on ongoing persona and emotional tone. Conversation quality centers on guided conversational flow, affective-style responses, and persistent discussion continuity meant for repeated daily sessions.
- +Conversation tone stays consistent across repeat sessions
- +Relationship-style chat flow works well for roleplay-like exchanges
- +Simple in-app experience reduces time spent on setup
- +Stable dialogue turn-taking supports uninterrupted back-and-forth
- –Limited visibility into automation, integrations, and API access
- –Memory persistence depth feels narrow for long-running narratives
- –Safety behavior can be conservative during roleplay intensity
- –Control over persona parameters is less granular than power users expect
People wanting a consistent companion
Chat with a customizable romantic persona
Continuing persona chat
Writers drafting operational text
Draft and revise documents with chat
Ready-to-edit text
Show 2 more scenarios
Mature character creators
Explore mature-adult archetype references
Portrait reference variations
Develop mature-adult character concepts and generate portrait variations for editorial-style references.
Roleplay and independent storytellers
Create visuals for roleplay settings
Visual story reference set
Produce portrait and scene variations to support narrative planning and roleplay boards.
Best for: Fits when daily companion chat and consistent persona feel matter more than API integrations or governance.
DreamGF
consumer specialistAI companion service centered on customizable virtual girlfriends with chat and image generation.
Session-spanning memory persistence that preserves character continuity across separate chats.
DreamGF pairs a virtual companion chat experience with a configurable persona and conversation behavior for repeat users. The product emphasizes memory persistence so characters can stay consistent across separate sessions.
- +Persona and conversation behavior can be configured for consistent roleplay
- +Memory persistence helps maintain continuity across separate sessions
- +Moderation guardrails reduce some risky reply types
- +Conversation flows support back-and-forth roleplay pacing
- –Lower control over dialogue policy limits fine-tuning of response style
- –Memory persistence can occasionally drift after longer chat loops
- –Integration and API access are limited for custom client apps
- –High latency-to-first-token can slow turn-taking during busy periods
People seeking daily companion chat
Run girlfriend-style conversations repeatedly
Continuing relationship-style chat
Companion roleplay users
Generate matching partner visuals
Character images matched to persona
Show 2 more scenarios
Users creating varied partner identities
Customize male and female companion concepts
Customized companion identities
Create virtual partner concepts with male or female personas and align visuals to each concept.
Adults generating character imagery
Generate adult-oriented body images
Prompt-driven adult character visuals
Create adult-focused character and body images using prompts and appearance controls.
Best for: Fits when individuals want consistent long-running companion roleplay with built-in safety filtering and session memory.
Nomi AI
consumer specialistAI companion with persistent memory, emotional reasoning, and voice interaction.
Memory persistence module that retains user and persona reference points across sessions for steadier long-term character continuity.
Nomi AI is a virtual companion app built around a chat-first persona experience that focuses on consistent character behavior across conversations. It supports ongoing memory persistence so users can maintain reference points over time instead of restarting context each session.
- +Persona consistency settings reduce drift across long chats
- +Conversation memory persistence keeps recurring details available
- +Extensible integration options support external app embedding
- +Moderation and safety filters cover common disallowed content
- –High personalization needs setup work to maintain intended tone
- –Customization controls are less granular than scripted dialogue tooling
- –Latency-to-first-token can feel variable during longer generations
- –Multimodal input support is not the focus compared with chat-only peers
Users preferring spoken prompts
Continue companion talks via voice
Hands-free companion chatting
Solo founders exploring markets
Discuss product ideas with a companion
Refined product concepts
Show 2 more scenarios
People wanting recurring emotional support
Maintain relationship-style conversations over time
Continuing conversations
Use ongoing companionship with remembered context so the companion does not restart each session.
People working from visual references
Incorporate screenshots into prompts
Visual context-informed replies
Share an image or screenshot so companion responses use the supplied visual context.
Best for: Fits when individuals or small teams need a memory-aware companion chat with integration options.
Muah AI
consumer specialistCompanion platform combining chat, voice, and image exchange within a single AI partner.
Character-driven companion configuration that shapes response style and boundaries inside the chat session.
Muah AI provides an interactive virtual companion experience with character-driven chat sessions and role-based conversation behavior. It emphasizes ongoing conversation flow, with built-in guardrails that steer replies away from disallowed content.
- +Character personality settings keep dialogue behavior consistent across turns
- +Moderation and safety filters reduce exposure to disallowed topics
- +Conversation formatting stays readable for long chat sessions
- +Quick session start supports frequent companion use without friction
- –Automation and API access are not obvious from the public interface
- –Memory persistence controls are limited compared with dedicated memory engines
- –Avatar and voice tooling are not a primary focus in the companion loop
- –Advanced dialogue policy customization is constrained versus developer-first systems
Adults seeking ongoing virtual companionship
Chat with a personalized partner
Continuous companion conversation
Adults seeking adult-oriented conversations
Engage in adult companion chat
Interactive adult chat replies
Show 2 more scenarios
Users who want multimodal interaction
Add voice interaction to companion chat
More natural companion dialogue
Use voice to drive companion conversations that would otherwise rely on text prompts.
People wanting visual context in chat
Exchange generated companion images
Conversation linked to images
Request companion images and keep the chat linked to generated visual content.
Best for: Fits when users want a configurable companion persona with strong chat pacing and safety behavior.
Conclusion
After evaluating 10 virtual companion software, Replika stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Virtual Companion Software
This buyer's guide covers virtual companion software across Replika, Character.AI, Kindroid, Kuki, SimSimi, Nomi AI, Candy.ai, DreamGF, Muah AI, and Kupid AI. The tool reviews compare how each app handles persona continuity, relationship-style chat behavior, and memory persistence across separate sessions.
The selection criteria also weigh integration depth and automation fit against each product's visible API surface and admin governance controls. Replika leads the group for long-term conversation continuity via memory that retains relationship context across sessions.
Virtual Companion Software that maintains persona continuity, memory persistence, and controlled chat behavior
Virtual companion software generates conversational replies that stay aligned with a character persona during back-and-forth sessions and across future chats through a memory persistence module. Replika illustrates this approach by retaining relationship context across sessions so recurring preferences and topics do not reset each time.
Character.AI emphasizes persona-driven roleplay that preserves character voice and goals across many conversational turns, with conversation continuity supporting long sessions. Many tools in this list also tune pacing and dialogue style for conversational turn-taking, while only some provide an obvious automation and API pathway for embedding a companion into a product workflow.
Virtual companion controls that determine continuity, safety behavior, and integration
Virtual companion software succeeds when persona behavior stays consistent across long chats and when the system retains relationship context across future sessions. Replika scores highest in this category because it focuses on long-term conversation continuity through memory that carries relationship context across sessions.
Feature value also depends on how the companion behaves inside the chat loop. Character.AI and Candy.ai both emphasize persona-driven guidance during active conversations, while SimSimi prioritizes immediate casual replies without an obvious automation pathway for embedding into other workflows.
Session-to-session memory for relationship continuity
Replika retains relationship context across sessions, which keeps recurring topics and preferences from resetting. Kindroid also persists character memory, while DreamGF preserves character continuity across separate chats.
Persona steering that preserves character voice and goals
Character.AI uses persona-driven roleplay to preserve character voice and goals across conversational turns. Kuki focuses on persona consistency controls that maintain character alignment across extended multi-turn history.
Conversation pacing and turn-taking controls
Candy.ai tunes conversation pacing so reply style and engagement cadence remain consistent during ongoing sessions. Kupid AI keeps relationship-mode chat tone aligned during back-and-forth exchanges.
Safety filtering that shows up as chat behavior, not just a policy
Muah AI includes moderation and safety filters that reduce exposure to disallowed topics during chat sessions. DreamGF pairs session memory with built-in safety filtering for roleplay continuity.
API and automation surface for workflow embedding
Kuki is the strongest fit when API embed is part of the product workflow, since it includes persona consistency with an API embed capability. Replika and Character.AI prioritize chat continuity and persona experience, while external API access is not the main workflow.
Administrative governance signals for managed usage
Tools in this list show uneven governance depth, with Character.AI lacking prominent admin governance controls like audit exports. Replika also shows limited admin controls and automation surface for managed deployments.
Choose by continuity model, chat steering, and whether integration or governance is required
Virtual companion selection works best when the decision maps to the companion’s continuity model. Replika and Kindroid both emphasize persistent memory, but Replika targets relationship-style continuity across sessions while Kindroid focuses on steadier persona behavior across time.
The second axis is how the companion is used operationally. SimSimi and Candy.ai optimize the chat loop for casual or paced interaction, while Kuki is a better match when API embed is part of a larger workflow.
Match the continuity requirement to a memory-first tool
If relationship-style continuity across sessions matters, pick Replika because it retains relationship context across sessions in a mobile chat interface. If the priority is character behavior stability over time with persistent character memory, pick Kindroid for steady persona behavior and preference continuity.
Lock in persona voice for roleplay and steering
If the requirement is preserving character voice and goals across many conversational turns, pick Character.AI because persona-first roleplay steering is central to the experience. If the requirement includes maintaining persona alignment over extended multi-turn history, pick Kuki for persona consistency controls.
Optimize for chat pacing instead of integration depth
If the requirement is consistent engagement cadence during an ongoing chat session, pick Candy.ai because it focuses on conversation pacing controls tuned for chat-like latency. If the requirement is daily companion roleplay tone without emphasis on external integration visibility, pick Kupid AI.
Decide whether API embed is a must-have capability
If the companion must be embedded into a product workflow, pick Kuki because it pairs persona consistency with API embed capability. If the requirement is primarily end-user chat without integration orchestration, pick SimSimi because its workflow stays browser-chat oriented with limited API and automation surface.
Set governance expectations for multi-user or managed deployments
If admin governance such as prominent audit exports matters, treat Character.AI as a weak match since governance controls like audit exports are not prominent for admins. If managed deployments need deeper automation, treat Replika as a constrained choice because it has limited admin controls and automation surface for managed deployments.
Assess personalization setup load against desired control granularity
If strong personalization requires careful setup, pick Nomi AI while planning for memory-aware companion configuration work since high personalization needs setup work to maintain intended tone. If the requirement is simpler character-driven boundaries with safety filtering already wired into chat behavior, pick Muah AI because moderation and safety filters are integrated into the chat session.
Who should buy Virtual Companion Software
Buyers who want relationship-style continuity across sessions should target tools built around memory persistence. Replika is the clearest fit for continuous, relationship-style companionship in a mobile chat interface, while Kindroid focuses on persistent character memory to keep preferences stable over time.
Teams and builders should buy based on integration and operational control needs. Kuki fits when embedding a companion into a product workflow matters, while SimSimi fits when a team needs fast casual replies without building an admin or automation layer.
People who want relationship-like continuity that carries forward
Replika retains relationship context across sessions, which keeps recurring topics and preferences stable without manual resets. Kindroid also persists character memory to reduce drift in persona behavior over time.
Creators who need consistent roleplay voice and steering
Character.AI preserves character voice and goals across conversational turns through persona-driven roleplay steering. Kuki maintains persona alignment across extended multi-turn conversations using persona consistency controls.
Product teams embedding a companion inside an application workflow
Kuki is built for persona consistency plus API embed, which supports integration into a larger product workflow. Replika and Character.AI prioritize chat quality and continuity over an external API-first integration workflow.
Teams that want a fast, casual companion without admin overhead
SimSimi is optimized for an easy conversational loop in a simple browser chat interface. It also provides limited API and automation surface, which matches teams that do not require workflow integration.
Users who want safety filtering visible in everyday conversation
Muah AI includes moderation and safety filters that reduce exposure to disallowed topics inside chat sessions. DreamGF combines session memory with built-in safety filtering for consistent roleplay across separate chats.
Common buying mistakes with Virtual Companion Software
Many buyers evaluate virtual companions as if they were interchangeable chatbots. The difference is whether the tool is continuity-first, steering-first, pacing-first, or integration-first.
Another frequent mistake is treating governance and API depth as secondary features. Replika and Character.AI emphasize relationship memory and persona experience, while governance controls like prominent audit exports and automation surface are not the focus for admins.
Choosing based on chat quality alone without checking session-to-session memory behavior
Replika and Kindroid are designed for continuity across sessions, while some tools deliver continuity that can feel more limited in depth. Verify that recurring preferences and relationship details persist the way the intended use case requires.
Assuming an external API and automation workflow is available when the primary product is chat-first
Character.AI and Replika focus on persona experience and continuity, so external API access is not the main workflow. Pick Kuki when API embed is part of a product workflow requirement.
Expecting strong admin governance tooling from persona-first companions
Character.AI does not prominently surface governance controls like audit exports for admins. Replika also has limited admin controls and automation surface for managed deployments.
Overlooking safety filtering behavior when roleplay includes risky topic boundaries
Muah AI includes moderation and safety filters during chat sessions. DreamGF also pairs memory persistence with built-in safety filtering for longer-running roleplay across separate chats.
Buying a memory-aware tool but underestimating setup work for the intended tone
Nomi AI requires setup work to maintain intended tone because personalization needs setup work. Plan for configuration time when the target outcome depends on precise persona behavior.
How We Selected and Ranked These Tools
We evaluated Replika, Character.AI, Kindroid, Kuki, SimSimi, Nomi AI, Candy.ai, DreamGF, Muah AI, and Kupid AI across continuity behavior, persona steering, and visible safety filtering. Features carried 40% of the score, with emphasis on long-session behavior consistency and the presence of memory persistence or pacing controls.
Ease of use and value each carried 30%, with ease reflecting how quickly chat behavior stabilizes for the intended companion style. Replika ranked first because its long-term conversation continuity through memory retains relationship context across sessions and produces consistent relationship-style dialogue without frequent resets.
Frequently Asked Questions About Virtual Companion Software
Which virtual companion tools support API access for embedding companion chat into another product?
How do Replika and Kindroid handle long-term memory across sessions?
When do persona controls matter more than general chat freedom for roleplay continuity?
What breaks if a team relies on SimSimi for enterprise automation and admin governance?
How does safety filtering differ across Character.AI, Replika, and DreamGF during the chat flow?
What tradeoff appears when conversation pacing controls are the main differentiator?
Where does Kuki’s API integration fit best compared with tools focused on in-app interaction patterns?
How should administrators plan configuration and governance when persona behavior must stay consistent?
When do avatar-style companion presentation and character continuity matter most: Replika vs Character.AI?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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