Locaible
Summary
The moment a sensitive contract lands in a cloud-based AI tool, your legal team is already asking who else can read it — and the vendor's answer is never satisfying enough for a compliance audit.
Locaible runs AI agents entirely on your own machine: no bytes leave the device, no API calls to OpenAI or Anthropic, no telemetry. The vendor states it is GDPR and EU AI Act compliant by design, which matters when your legal or finance team needs a paper trail for the regulator, not a ToS URL. Multi-step workflows chain separate agents — one retrieves from your indexed documents, one analyses, one drafts — each running its own local model. The ceiling appears when your team scales beyond a small LAN setup: team seats authenticate over a private token and require a detected LAN IP, so distributed or remote teams hit a networking configuration wall before they hit a workflow one.
Bottom line: Pick Locaible when on-device data residency is a hard requirement and your team sits on the same LAN — plan a different architecture when your agents need to reach a globally distributed workforce or consume external APIs that cannot stay local.
Pricing Plans
Subscription- Free Tier
- 7-day free trial; thereafter requires paid subscription for continued use
Free Trial
7-day free trial with full feature access
- All six pre-built agents
- Local inference
- RAG with document indexing
- Multi-agent orchestration
- API access
- Community marketplace
Pro
Paid tier with team support and advanced features (pricing not disclosed on vendor page)
- L2/L3 technical support
- Workaround-first triage
- Rollback guarantees in runbooks
- Team seats for secure LAN collaboration
- Unlimited agents
View full pricing on locaible.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- All inference and document indexing runs on your own machine with zero bytes sent to external APIs, which means sensitive legal, medical, or financial documents never appear in a third-party audit log or training dataset.
- GDPR and EU AI Act compliance is built into the architecture rather than configured after the fact, so your compliance team gets a defensible data-flow diagram instead of a vendor's promise.
- Multi-agent chains assign separate models to search, analysis, and drafting steps, so you can run a lighter model for retrieval and reserve a heavier one for synthesis — keeping hardware costs proportional to task complexity.
- An OpenAI-compatible local API at 127.0.0.1 means tools already pointed at the OpenAI endpoint can redirect to Locaible with a one-line config change, avoiding a rewrite of existing scripts or integrations.
- Per-agent satisfaction ratings and a feedback loop let teams improve agent behaviour incrementally without sending prompt history or document content anywhere, so iteration stays inside your security perimeter.
Cons
Sign in to edit- Team seats authenticate via a LAN IP detected from the host machine running Ollama — the moment a team member is remote, on a VPN with a different subnet, or on a separate office network, seat connectivity breaks and requires manual network configuration that the product does not automate.
- The agent Marketplace and multi-agent chaining are designed for use cases where all data stays local; any workflow that needs to pull from an external SaaS API (a live CRM, an external database, a third-party webhook) has no native cloud connector, so teams build a custom integration layer or abandon Locaible for a cloud-native agent platform that ships those connectors out of the box.
- Hardware requirements are carried entirely by the host machine — running a 14B-parameter analysis model alongside an 8B retrieval model and an 8B drafting model in parallel taxes consumer laptop RAM and GPU memory quickly, and the docs describe no offloading or distributed inference option, which means teams with heavier document volumes need to provision dedicated on-premises hardware before the workflow is production-stable.
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About
- Platforms
- Windows, macOS, Linux
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-06-10T16:24:26.876Z
Best For
Who it's for
- Enterprises with strict data residency requirements
- Organizations handling sensitive documents (legal, healthcare, finance)
- Teams needing GDPR/EU AI Act compliance by design
- Businesses avoiding cloud vendor lock-in
- Compliance-heavy industries (finance, legal, government)
What it does well
- Legal contract review and governance
- Sales lead qualification and follow-up automation
- Customer support from private knowledge bases
- HR document screening and job posting generation
- Financial expense categorization and invoicing
- Multi-step research, analysis, and reporting workflows
Integrations
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Frequently Asked Questions
- Is Locaible free?
- Locaible is a paid tool. A 7-day free trial is available.
- Is Locaible open source?
- No — Locaible is a closed-source tool. Source code is not publicly available.
- Does Locaible have an API?
- Yes. Locaible exposes a developer API. See the official documentation at https://locaible.com for details.
- Can I self-host Locaible?
- Yes. Locaible supports self-hosting on your own infrastructure.
- What platforms does Locaible support?
- Locaible is available on: Windows, macOS, Linux.
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Curated lists that include this category
Most AI tooling trades your data for convenience — every document you drop into a cloud workflow becomes a training signal, a liability, or both. Locaible deploys AI agents that run 100% on your own hardware, using Ollama and Hugging Face models locally. The core workflow chains agents in sequence: a search agent retrieves relevant chunks from your indexed documents via on-device RAG, an analysis agent interprets the results, and a drafting agent produces the output — each step on a model you choose, none of it touching the internet.
The differentiating feature is not just local inference — it is the governance layer wrapped around it. Zero telemetry is enforced at the architecture level, not a settings toggle. The vendor ships a per-agent feedback loop so teams can rate individual outputs and iterate on agent behaviour without exposing prompt history. A Marketplace lets teams install pre-built agent templates with stated guarantees and capability boundaries visible before install, which means your compliance officer can review what an agent will and will not do before it touches a contract.
Locaible fits enterprises with strict data residency requirements — legal contract review, HR document screening, financial expense categorisation — where the alternative to on-device AI is a human doing the same work manually under time pressure. It breaks at the edges of its LAN-based team seat model: teammates authenticate through a detected LAN IP tied to the host machine running Ollama, which works on a co-located team and becomes a configuration burden the moment anyone is remote or behind a different network segment.
The local API runs at 127.0.0.1 on an OpenAI-compatible endpoint, so existing tools — the docs mention Cursor, n8n, and custom scripts — point at localhost and treat it as a drop-in replacement. Signed silent updates land in-process without requiring a reinstall. The agent Marketplace distinguishes community-imported agents (silver badge) from curated picks (gold badge), and a PII-masking step runs before any agent template is published back to the community.