adris.tech
Summary
Paying for five separate SaaS subscriptions — a lead-gen tool, an automation platform, a coding copilot, a contract reviewer, and an AI chat assistant — while watching none of them share context is the problem adris.tech was built to eliminate.
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.
Bottom line: Pick adris if you are a founder or small agency that wants lead research, contract scanning, and 24/7 automations on one local-first platform without stitching five tools together — but if your stack requires a public API to pull data out of the platform programmatically, adris has no answer for that today.
Pricing Plans
Subscription- Price
- from ₹0
- Free Tier
- 50 AI tasks to try · run local models · Mesh 3 devices
Free
All 8 modules · 50 AI tasks to try · run local models · Mesh 3 devices
- All 8 modules
- 50 AI tasks
- Local models
- Mesh 3 devices
Solo
~4,000 AI tasks/mo · cloud automations · security scans
- ~4,000 AI tasks/mo
- Cloud automations
- Security scans
Builder
~16,000 AI tasks/mo · 5,000 automation runs · full Guard
- ~16,000 AI tasks/mo
- 5,000 automation runs
- Full Guard
Team
Shared workspace · admin controls · SSO · priority support with SLA
- Shared workspace
- Admin controls
- SSO
- Priority support with SLA
View full pricing on adris.tech →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- 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.
Cons
Sign in to edit- 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.
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About
- Platforms
- Windows, Linux
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-07-20T03:22:46.793Z
Best For
Who it's for
- Agencies and consultancies
- Founders and SMBs before first hire
- Engineering teams needing local dev environments
- Teams handling client data with privacy requirements
- Users seeking one subscription to replace multiple AI tools
What it does well
- AI agents researching prospects and drafting outreach
- 24/7 automations delivering to Slack, Sheets, or Notion
- Local code editing with terminal and multiple model providers
- Contract scanning for risky clauses in plain language
- Lead list building and verification with shared knowledge graph
Integrations
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Frequently Asked Questions
- Is adris.tech free?
- adris.tech has a permanent free tier alongside paid upgrades (paid plans from from ₹0). You can keep using a baseline version indefinitely without paying.
- Is adris.tech open source?
- No — adris.tech is a closed-source tool. Source code is not publicly available.
- Can I self-host adris.tech?
- Yes. adris.tech supports self-hosting on your own infrastructure.
- What platforms does adris.tech support?
- adris.tech is available on: Windows, Linux.
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adris.tech is a desktop application that runs eight business AI products as a single ecosystem: Krew AI agents for prospect research and outreach drafting, an automation layer that delivers to Slack, Sheets, and Notion, a code editor with a real terminal and support for nine model providers plus Ollama, a model playground with 51 open models, a DNS-level network guard, a contract scanner (Guard), a cross-machine RAM pooler (Mesh), and a shared knowledge graph (Brain). The modules share one credential store and one knowledge graph, so a lead an agent finds and verifies flows into the same Brain that your automations and chat assistant query — no manual export or re-import required.
The defining architectural decision is local-first storage. Chat history, automation state, lead lists, and the knowledge graph live in SQLite files on the user’s machine. Credentials for Gmail, Notion, and Slack are encrypted on-device. AI calls route directly from the machine to whichever provider key the user supplies — Gemini, OpenAI, or Claude — meaning the vendor never sees the payload. For teams handling client contracts or sensitive prospect data, this is the architectural guarantee most cloud-based alternatives cannot match without a custom enterprise agreement.
The platform fits agencies and consultancies that need to scale output without headcount, founders running operations before a first hire, and engineering teams that want local model inference with Mesh pooling RAM across machines for models too large for a single device. Where it breaks: there is no public API listed by the vendor, so teams that need to pipe agent output into a custom internal system or trigger adris automations from an external event source are working without a documented integration path. At that point, teams with complex backend requirements typically move to a platform with a native API layer rather than building workarounds.