Product changelog

What's new in MaiaChat

Human-reviewed notes covering the capabilities, improvements, fixes, and safety work that matter when you use MaiaChat.

Release notes are curated from the project history. They describe user-visible outcomes and intentionally omit credentials, infrastructure details, and internal-only maintenance noise.
  1. LatestNewImprovedFixedSafety

    Device Access preview and current AI models

    MaiaChat can now work with a computer you explicitly pair, while fresh chats start with a current multi-provider model catalogue.

    • Pair a macOS, Windows, or Linux computer and choose Browser, Files, Applications, Screen, Terminal, or OS Administrator access.
    • Device policy is scoped to one MaiaChat account, selected model, and paired computer; normal application routes isolate other site users.
    • Hosted users can download the one-file Node.js bridge directly; a full MaiaChat source checkout is no longer required for pairing.
    • Mac and PC requests now route to the paired computer instead of probing the hosted server workspace, including short follow-ups such as “try again.”
    • Completed pairings now appear automatically and are matched to their exact pairing code, with clearer restart and activation instructions inside Device Access.
    • Google and other social-only accounts are no longer asked for a nonexistent MaiaChat password; Google verification can be renewed without manually signing out.
    • Small models now recover safely when they announce a folder-listing tool call without sending its payload, and the verified device result is always shown in chat.
    • Computer-changing actions start blocked, with separate Ask and Allow modes protected by short-lived account reauthentication.
    • Fresh chats use GPT-5.6 Terra, with current OpenAI, Anthropic, Google, xAI, OpenRouter, Ollama, and LM Studio catalogues.
    Device Access is an experimental preview. The companion currently runs manually and does not yet include signed installers, an OS service, or a tray kill switch.
    Commit references693894ad605aa00724473
  2. Improved

    A clearer MaiaChat front door

    The public introduction and signed-in workbench now explain MaiaChat through real outcomes instead of a generic chat screen.

    • Reworked guest and signed-in starting experiences with clearer next actions.
    • Added outcome-led starters for learning, comparing, creating, and automating with AI.
    • Made the Learning Lab and Comparison Lab easier to discover from primary navigation.
    Commit references2a17cb1
  3. NewImproved

    Learning Lab and Comparison Lab

    A guided path now helps people move from basic chat toward documents, agents, coding, loops, and automation using real MaiaChat controls.

    • Added practical lessons, private progress tracking, achievements, and guided capability paths.
    • Added side-by-side model and prompt comparisons with latency, token, and cost context.
    • Introduced organization-managed lessons and clearer onboarding for different experience levels.
    Commit references1d69d2781c70cc
  4. ImprovedSafety

    Stronger Agent mode controls

    Longer-running agent work is more bounded, easier to inspect, and clearer about when it has verified an outcome or stopped.

    • Added clearer loop controls, project context, verification gates, and stop behaviour.
    • Improved parallel subtask coordination for work that benefits from independent specialists.
    • Tightened tool discovery and hosted safety boundaries so disabled capabilities stay unavailable.
    Commit references75ea906
  5. ImprovedFixed

    More reliable local-model agent runs

    Ollama and LM Studio users can run agent loops without cloud keys, with better control over context growth and completion.

    • Made local providers first-class in autonomous model access decisions.
    • Compacted older loop history and bounded large tool results before replaying them to a model.
    • Improved completion checks, recovery, and reporting when verification cannot finish.
    Commit references78f38ba
  6. ImprovedFixedSafety

    Clearer and safer file work

    Agent file tasks now show what changed, stop more predictably, and preserve better recovery points when work fails or is cancelled.

    • Added visible file-change summaries and better progress for local file tasks.
    • Added reliable stop and cancellation handling for active chat and model runs.
    • Improved model failover, message deduplication, scoped file browsing, and mutation checkpoints.
    Commit referencesc070f09add34ed
  7. NewImproved

    Mixture of Agents and in-product help

    Multiple specialist agents can collaborate on one task, with visible roles and practical guidance for choosing the right workflow.

    • Added specialist-agent orchestration for chat, schedules, profiles, and connected channels.
    • Made agent roles visible when configuring and selecting a team.
    • Added practical MaiaChat and Mixture of Agents manuals inside the application.
    Commit references97f66f363eba83
  8. NewSafety

    Plain-language automation with safer hosted defaults

    Common recurring tasks can be created from reusable blueprints and natural-language shortcuts, while hosted installations enforce stricter isolation.

    • Added automation blueprints, suggestions, slash commands, and channel-friendly shortcuts.
    • Improved approval defaults and workspace isolation for hosted deployments.
    • Made the application code read-only in hosted containers while preserving explicit runtime directories.
    Commit references952be7d02af46710c4f2a0ffef2cd5daf63
  9. NewImproved

    Goals, loops, schedules, and memory controls

    MaiaChat gained bounded autonomous work that can pursue a goal, run on a schedule, and remain visible from the normal chat experience.

    • Added standing goals, bounded agent loops, and scheduled autonomous runs.
    • Integrated loop controls into chat instead of hiding them on a separate management page.
    • Improved session recall, self-review controls, and navigation on shorter screens.
    Commit references5355922ce84b208fea594
  10. NewSafety

    Agent workbench foundation

    The Worker Board and safety layers established a more inspectable foundation for longer-running agent work.

    • Added Worker Board triage, artifacts, checkpoints, handoffs, dependencies, and cost caps.
    • Hardened autonomous task concurrency and workspace boundaries around file mutations.
    • Improved reviewed skill discovery, connected-channel actions, and approval-aware workflows.
    Commit references604862b525233ad3868fabc901c70c06204