adris.tech vs Loma

adris.tech and Loma are both ai agent apps tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

adris.tech

adris is a desktop app for Windows and Linux that bundles eight modules — AI agents, automation, a code editor, local model hosting, a credential vault, DNS-level threat blocking, cross-machine RAM pooling, and a shared knowledge graph — under one login. The agents (called Krew) research prospects and verify contacts in a live browser, then hand results directly to automations that push to Slack, Sheets, or Notion on schedule. Everything stores locally in SQLite; credentials never leave the device. The ceiling appears when you need a public API to connect adris to an existing internal system — the vendor does not list one. Teams that need to pipe agent output into a custom backend will hit that wall fast.

Loma

Loma sits across your tools — Slack, docs, CRM signals — running agents that handle pre-meeting briefs, RFP responses, bug triage, and onboarding health checks without waiting to be asked. The differentiating claim is the context layer: every resolved ticket, closed deal, and fixed bug is stored as a pattern or skill that future agents draw on, so day 100 is meaningfully faster than day 1. Self-hosted under Apache-2.0, it supports Claude, GPT, and Gemini with swap-anytime routing. The vendor states agents complete RFP questionnaires at ~95% coverage, flagging the remainder for human review. Where it strains is in the gaps the scraped content leaves open — enterprise auth, SLA guarantees, and mature operational tooling are not documented.

Attribute	adris.tech	Loma
Pricing	Paid	Free
Price	from ₹0	—
Free trial	No	No
Open source	No	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	Windows, Linux	Self-hosted, Slack, web dashboard
Pros	Eight modules share one knowledge graph and one credential store, which means a lead verified by a Krew agent is immediately available to your automations and chat assistant without any manual data transfer step — the kind of cross-tool friction that causes data to go stale. Local-first storage with on-device SQLite and encrypted credential handling, so client contracts and prospect data never transit the vendor's servers — which removes the need for a separate data processing agreement on sensitive client work. Mesh pools RAM across multiple machines to run large open models, so teams without a single high-spec workstation can still run frontier-scale inference locally rather than paying per-token to a cloud provider. Krew agents verify contacts in a live browser rather than querying a static database, which means lead lists reflect real-time availability instead of decayed records that bounce on send. A free tier that includes all eight modules with 50 AI tasks, so teams can validate the full workflow — agents, automations, code editor, local models — before committing budget.	Shared context layer that persists learned patterns across every agent run, which means the fifth RFP your agent completes draws on answers from the previous four rather than starting cold. Provider-agnostic LLM routing across Claude, GPT, and Gemini, so when API costs spike or a model underperforms on a task type, you swap the model without rebuilding the agent. Self-hosted under Apache-2.0, which means deal playbooks, customer health signals, and diagnostic patterns never leave infrastructure you control — critical for teams whose security review would otherwise block a SaaS AI layer. Slack-native task delegation — agents accept @mention assignments and post proactive briefs without requiring a separate interface — so adoption doesn't depend on getting your team to open another tool. Agents flag what they cannot answer rather than hallucinating completions — the RFP workflow surfaces unanswered questions for human review, so you review exceptions rather than auditing every output.
Cons	No public API is listed by the vendor, which means any team that needs to trigger adris automations from an external system or pull agent output into a custom backend has no documented integration path — teams with that requirement typically switch to a platform with a native API rather than maintain a fragile workaround. Windows and Linux only per the vendor page — teams running macOS as their primary development environment cannot install the desktop app at all, which is a hard stop for many agency and engineering teams before they evaluate a single feature. The platform is at v1.0.70 and built by a single-city team in Bengaluru; community reports and third-party production case studies are not yet available in volume, so teams betting a client-facing workflow on it are doing so without the track record of established alternatives.	Compliance-gated procurement breaks here: the public documentation carries no mention of SOC 2, HIPAA readiness, or signed SLAs, so any team whose security review requires those artifacts before a tool touches customer data will stall at the vendor assessment stage — at which point they evaluate managed alternatives that ship compliance docs. The context layer's value depends entirely on volume and quality of team activity flowing through Loma — a team of three running occasional tasks builds sparse patterns, and sparse patterns mean agents are not meaningfully better than a cold prompt for months; smaller teams report this lag as the tool failing to deliver on its compounding premise. Enterprise access controls — role-based permissions, audit logs, SSO — are not described anywhere in the vendor's public documentation; teams operating in regulated industries or with strict data governance requirements are left to build these controls themselves or accept the risk, and several will choose a commercial platform instead.

Bottom line

Adris.tech is paid while Loma is free; Loma is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between adris.tech and Loma?

adris.tech is Paid, while Loma is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is adris.tech better than Loma?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.