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    Quick Info

    Best For

    Developers, founders, researchers, and small teams who rely on LLMs as long-running collaborators and need consistent project context across Claude, ChatGPT, Copilot, Gemini, and local models

    Key Features

    Cross-model AI memory
    Session-start context restore
    Bridge architecture
    Per-project rule & decision capture

    Community Rating

    Velsositi

    paid
    Updated Jun 2026

    Velsositi is a cross-model memory and continuity system built for people who use LLMs as long-running collaborators rather than disposable chat windows. Instead of re-pasting context, project rules, or prior decisions at the start of every conversation, Velsositi's Bridge architecture captures and restores the full state of a project — active goals, design decisions, open tasks, conventions, and conversation history — and injects it back into any new session. It works with Claude, ChatGPT, GitHub Copilot, Gemini, and local models, without plugins or browser hacks. Users explicitly control what persists and what stays scoped to a session, which keeps sensitive context out of long-term memory while eliminating the drift, forgetfulness, and re-explaining that plague multi-week workflows. Aimed at developers, founders, researchers, and small teams who treat AI as a serious project partner.

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    Pros

    • Model-agnostic — same memory across Claude, ChatGPT, Copilot, Gemini, and local LLMs
    • Restores full project state automatically at the start of every session
    • User-controlled persistence means you decide what's remembered vs. ephemeral
    • No plugins, browser extensions, or hacks required
    • Eliminates context re-explaining for multi-week or multi-session work

    Cons

    • Newer project — smaller community and fewer integrations than established memory tools
    • Paid-only with no public free tier
    • Best value shows up after you've used it for several long-running projects
    • Bridge setup has a small learning curve for first-time users
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    All Features

    Cross-model AI memory
    Session-start context restore
    Bridge architecture
    Per-project rule & decision capture
    Task and history continuity
    User-controlled persistence
    Works with cloud and local LLMs

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