Openloomi
Open-source AI coworker with a desktop attention agent for local-first work memory.
OpenLoomi is a standout for developers and privacy-conscious professionals who want an AI that truly remembers and acts on their work context. The desktop attention agent and human-in-the-loop approvals genuinely differentiate it from cloud assistants like Mem or Notion AI. However, it's early-stage: many integrations are 'Soon', and setup demands comfort with CLI and self-hosting. If you're tech-savvy and prioritize data sovereignty, it's worth the effort.
Verified 3d ago · liveness 62/100 · cite: rightaichoice.com/tools/openloomi
- Developers and builders who want a local-first AI with persistent work memory
- Professionals who need context-aware task automation across email and messaging
- Privacy-conscious teams that demand data sovereignty and self-hosting
- Users who want an AI that acts proactively with human-in-the-loop approval
- Users who prefer fully managed cloud AI assistants like Mem or Notion AI
- Non-technical users uncomfortable with CLI setup and self-hosting
- Teams needing native mobile apps
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Skip OpenLoomi if you prefer a fully managed cloud AI assistant, are non-technical and uncomfortable with CLI setup and self-hosting, need native mobile apps, or require integrations like GitHub or Notion that are still 'Soon'.
While the software is free and open-source, you must supply your own AI provider API key, which incurs usage costs based on your token consumption.
OpenLoomi's pricing is $0/mo for self-hosted, which is ideal for developers, tinkerers, and privacy-focused individuals who are comfortable with CLI and self-hosting. Compared to cloud assistants like Mem ($15/mo) or Notion AI ($10/mo), you save on subscription fees but pay with setup effort and your own compute resources.
In short
Openloomi — Open-source AI coworker with a desktop attention agent for local-first work memory. Best for Developers and builders who want a local-first AI with persistent work memory, Professionals who need context-aware task automation across email and messaging, Privacy-conscious teams that demand data sovereignty and self-hosting. Free to use.
What's new in Openloomi
Checked yesterdayAcross the latest 3 updates: 3 changelog entries.
OpenLoomi 0.8.0 — unified IM decision type, graph-driven memory consolidation, hardened plugin setup
Version 0.8.0 adds unified IM decision type, graph-driven memory consolidation, and hardened plugin setup.
OpenLoomi 0.7.0 — AI coworker experience, Loomi pet, integrated Loop, memory intelligence
Version 0.7.0 introduces AI coworker experience, Loomi pet, integrated Loop, and memory intelligence.
OpenLoomi 0.6.0 — memory relations, Anthropic-compatible providers, RPM support
Version 0.6.0 adds memory relations, Anthropic-compatible providers, and RPM support.
What people actually say about Openloomi — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
2 mentions across 1 source (Hacker News) · researched Jul 3, 2026.
- +Persistent context graph remembers work history across sessions.
- +Local-first architecture keeps raw data on your device.
- +Open source under Apache 2.0 allows full customization.
- +Proactive task execution with mandatory user approval.
- +Integrates Slack, email, calendar, and docs into one view.
- −Very limited community feedback and real-world testing.
- −Setup and integration may be complex and time-consuming.
- −Proactive AI may generate false positives or irrelevant actions.
- −Lack of independent privacy audits raises trust questions.
- −No mobile app or desktop client mentioned.
- • Self-hosted Enterprise may require additional infrastructure costs
- • Potential add-on fees for premium integrations
Viability Score
How well maintained and how widely used is Openloomi? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Desktop attention agent monitors screen for context
- Holistic context graph across people, projects, decisions
- Proactive task execution with user approval
- Drafts replies, schedules follow-ups, tracks commitments, closes tickets
- Auto-fetches commits, issues, emails from connectors
- Open-source (Apache 2.0) and local-first architecture
- End-to-end encryption (AES-256) with TEE
- Zero training pledge – never trains on user data
- Connectors for Slack, Telegram, WhatsApp, Gmail, Outlook, iMessage, Lark/Feishu, QQ, X
- Memory intelligence with graph-driven consolidation (v0.8.0)
- Unified IM decision type (v0.8.0)
- AI skills library (v0.5.0)
- Loomi pet and integrated Loop (v0.7.0)
- Plugins for Claude Code and Codex CLI
- Forgetting pipeline and character system (v0.4.0)
About Openloomi
OpenLoomi is an open-source AI coworker that runs locally and acts as a proactive workspace, not a passive chatbot. It's built for professionals and developers who want an AI that understands their work context across people, projects, and decisions. The desktop attention agent watches your screen and connects to authorized tools like Slack, Gmail, WhatsApp, and more, building a holistic context graph that persists across sessions. Instead of re-explaining context each time, OpenLoomi remembers your conversations, emails, meetings, and docs, and turns that into actionable intelligence. The platform connectors auto-fetch commits, issues, and emails into a single context graph—not just archived, but linked by relationships and history. This enables proactive tasks: drafting replies, scheduling follow-ups, logging updates, delegating requests, and closing tickets. Every action requires your approval—you approve, it executes. It's designed to save your attention for what matters, rather than drowning you in suggestions. OpenLoomi emphasizes privacy and control. Its local-first architecture keeps raw data on your device, with AES-256 encryption in a hardware-isolated trusted execution environment. The zero-training pledge is legally guaranteed—your data never trains public AI models. SOC 2 compliance is in progress, and the code is Apache 2.0, so you can clone, build, and self-host. Recent releases (v0.8.0) added graph-driven memory consolidation and a unified IM decision type, while v0.7.0 introduced the Loomi pet, integrated Loop, and memory intelligence. Compared to cloud-only assistants like Mem or Notion AI, OpenLoomi offers data sovereignty and persistent, holistic context, but it's early-stage—many connectors are still 'Soon' (GitHub, Notion, Jira), and setup requires technical comfort with CLI and self-hosting. If you want complete control and are willing to trade polish for openness, OpenLoomi is a compelling pick.
Behind the Verdict
OpenLoomi is a different breed of AI assistant. Most tools are chatbots that reset every session; OpenLoomi is a local-first coworker that builds a persistent context graph from your screen and connected apps. That's a real shift for anyone tired of re-explaining context to AI daily. The Loop proactive execution engine (v0.7.0) and the unified IM decision type (v0.8.0) show steady progress, but it's still early. You'll need CLI comfort and self-hosting patience. If that's you, the payoff is data sovereignty and a memory that actually spans your work. Where it wins: privacy. Raw data stays on your device, AES-256 encrypted in a TEE, with a legal zero-training pledge. That's a contract most cloud vendors won't sign. For regulated industries or privacy-first teams, this alone justifies the setup friction. The approval gate on every action is also a nice safety net—you stay in control. The trade-off is polish. Many integrations are still 'Soon'—GitHub, Notion, Jira are all on the roadmap, not live. And there's no mobile app. If you live in the browser and need instant answers, OpenLoomi will feel heavy. The Loomi pet is a playful touch, but it's not a substitute for a slick UI. Compared to Mem or Notion AI, OpenLoomi trades convenience for control. Those are zero-setup, cloud-synced, and easy; OpenLoomi is self-hosted and requires tinkering. But they also lack the deep, cross-tool memory and local-first guarantee. We'd reach for OpenLoomi when data privacy is non-negotiable and you're technical enough to own the stack. Pass if you want a turnkey assistant. Watch out for the 'Soon' list—it's honest, but it means you'll need workarounds until connectors mature.
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Real-world workflow fit
Concrete scenarios for the personas Openloomi actually fits — and what changes day-one when you adopt it.
A developer installs the OpenLoomi plugin for Claude Code or Codex, authorizes a Gmail connector, and uses the /openloomi commands to access memory and context while coding.
Outcome: The developer gets persistent work memory that tracks decisions and project context across sessions, reducing time spent re-explaining prior context.
A sales manager connects Slack and Gmail, then relies on OpenLoomi's attention agent to monitor conversations and suggest follow-up actions based on context.
Outcome: The manager approves drafted follow-ups and scheduled reminders, ensuring no leads slip through the cracks and freeing up time for high-value calls.
A founder uses OpenLoomi's Loop to aggregate messages and emails, creating decision cards for approvals on actions like delegating tasks or closing tickets.
Outcome: The founder gains a unified view of their work and can approve/execute actions efficiently, saving hours per week on manual coordination.
Use Cases
- Draft replies to emails or messages with full context of past conversations and decisions.
- Schedule follow-ups automatically after meetings or missed commitments.
- Log updates to projects or tickets based on discussion history.
- Delegate requests to team members while tracking pending actions.
- Close support tickets by summarizing resolution and ensuring approval.
- Use from within Claude Code or Codex CLI to give your coding agent persistent work memory.
- Automate recurring workflows like daily syncs or content drafting with scheduling and event triggers.
Models Under the Hood
as of 2026-08-28
Limitations
- OpenLoomi is an open-source AI coworker that runs locally on your own machine.
- It connects to various platforms via connectors, many of which are marked as 'Soon' (e.g., HubSpot, Outlook Calendar, Google Drive, GitHub, Google Calendar, LinkedIn, Microsoft Teams, Notion, Asana, Jira, Linear).
- The docs mention configuring an AI provider and plugins for Claude Code and Codex CLI.
- The platform relies on a desktop attention agent and persistent work memory, with proactive tasks that require user approval.
as of 2026-08-24
Verification history
We have re-verified Openloomi 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Openloomi tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Self-Hosted
$0/mo
Ideal for
Developers, privacy advocates, and tech-savvy professionals who want full control over their data and are comfortable with CLI setup and self-hosting.
What this tier adds
This is the only tier, free and open-source, offering local-first architecture, desktop attention agent, platform connectors, and proactive tasks with approval.
Where the pricing makes sense
The company stage and team size where Openloomi's pricing actually pencils out — and where peers do it cheaper.
OpenLoomi's pricing is $0/mo for self-hosted, which is ideal for developers, tinkerers, and privacy-focused individuals who are comfortable with CLI and self-hosting. Compared to cloud assistants like Mem ($15/mo) or Notion AI ($10/mo), you save on subscription fees but pay with setup effort and your own compute resources.
Setup time & first value
How long it actually takes to get something useful out of Openloomi — broken out by persona, not the marketing-page minute.
For a new desktop app user: install, sign in, and finish your first session within 30 minutes; authorizing Gmail or Slack and letting Loop run for an afternoon gets you to your first Approve. For developers using the plugin: one-command setup with Claude Code or Codex. For deeper integration, expect a few hours to configure connectors and self-hosted infrastructure.
Switching to or from Openloomi
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Mem to OpenLoomi: Export your notes and context from Mem, then manually recreate your workflows and connect your email and messaging apps to build your context graph.
- →From Notion AI to OpenLoomi: Migrate your documents by exporting them to local files, then use the Library feature to upload and ask AI questions against them.
- ↗To Mem: Export your context graph and notes from OpenLoomi, then import them into Mem's cloud-based structure (manual process).
- ↗To Notion AI: Copy relevant context and decisions into Notion pages, then use Notion AI for assistance (manual migration).
Integrations
Resources & Guides
- Documentationopenloomi.ai
Docs · Openloomi
Full product docs from openloomi.ai
- Quickstartopenloomi.ai
Getting Started · Openloomi
Get up and running fast from openloomi.ai
- Documentationopenloomi.ai
Plugins · Openloomi
Full product docs from openloomi.ai
- Documentationopenloomi.ai
Connectors · Openloomi
Full product docs from openloomi.ai
- Documentationopenloomi.ai
Changelog · Openloomi
Full product docs from openloomi.ai
- Documentationopenloomi.ai
Use Cases · Openloomi
Full product docs from openloomi.ai
Tutorials & Learning
Official links
Tools that pair well with Openloomi
Common stack mates teams adopt alongside Openloomi, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Openloomi vs Locus Robotics
Locus Robotics is the clear choice if you need physical warehouse automation to boost picking productivity 2-3x in high-volume fulfillment centers. Openloomi, on the other hand, is ideal if you want an open-source, local-first AI coworker that persists context across your digital tools and automates tasks with strong privacy guarantees. They solve completely different problems, so pick based on whether your pain is physical or digital workflow automation.
Openloomi vs Presto Voice
Presto Voice is purpose-built for QSR chains needing proven drive-thru automation with upselling, as validated by its Dairy Queen partnership. Openloomi offers a flexible, open-source AI coworker for teams that want persistent memory and local control, but requires technical setup. Choose Presto for specialized enterprise voice AI; choose Openloomi for general-purpose, privacy-first workflow automation.
Openloomi vs Truleo
If you're in law enforcement and drowning in siloed data (jail calls, body cameras, RMS), Truleo is your only choice. For everyone else—especially privacy-conscious team leaders or developers—Openloomi's open-source, local-first approach with persistent work memory is far more flexible and cost-effective. No contest: pick the tool built for your world.
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