Cadenya
Freemium
Developers building agentic workflows
Thunderbolt
FreemiumOpen SourceAPISelf-Hosted
Thunderbolt is a self-hosted AI client that runs models on your infrastructure instead of routing data to vendor clouds.
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Get This Tool
License: MPL-2.0 Any use incl. commercial
Local-run terms: Open-source under MPL 2.0 (Mozilla Public License 2.0). Users can download, modify, audit, and deploy the software on their own infrastructure at no cost. MPL 2.0 is a permissive license that allows commercial use, modification, and distribution. The only obligation is to disclose source code for modifications to Thunderbolt itself; derivative code using Thunderbolt can remain proprietary. Organiz
Screenshots 1
Summary
Thunderbolt lets enterprises run large language models entirely on-premises, choosing which model (OpenAI, Anthropic, or open-source) to invoke without vendor lock-in. The problem it solves is real: regulated industries, EU-based companies, and government agencies face hard constraints around data residency and sovereignty that cloud-first AI tools cannot meet. The core appeal is architectural—your data never leaves your servers. The tool operates on a freemium model with paid tiers for teams, though pricing specifics are not published. The honest friction: Thunderbolt remains under active development and mid-security audit, which means organizations should expect incomplete polish and must own the operational burden of patching and maintaining local deployments.
Bottom line: *Use this if data must stay on-premises and compliance risk outweighs operational complexity; skip it if you need production stability or want to offload infrastructure work.*
Hosted & API Pricing
The model is free to self-host. These are the creator's hosted/API options.Managed Hosted (In Development)
via MZLA Technologies
Custom
Cloud-hosted version for smaller teams who prefer not to self-host. Pricing model and availability announced but not yet detailed.
- Infrastructure management
- Automatic patching and upgrades
- SLA support (roadmap)
Pricing may have changed since last verified. Check the official site for current plans.
Pricing Plans
Free for self-hosted; paid enterprise services planned- Free Tier
- Self-hosted open-source version is fully featured with no per-user or per-query limits. Limits depend only on organization's own infrastructure capacity and choice of backend models (which may have their own rate limits or pricing).
Open Source (Self-Hosted)
Free
Full source code available on GitHub under MPL 2.0. Organizations self-host and manage all infrastructure.
- Complete source code access
- Self-hosted deployment on any infrastructure
- Chat, search, research, and automation workflows
- Haystack integration for RAG/orchestration
- MCP/ACP protocol support
- No licensing fees
Enterprise Services (Planned)
Custom
Deployment support, integration assistance, and custom development. Pricing reflects support level, customization depth, and deployment complexity.
- Professional deployment assistance
- Custom integration and configuration
- Forward-deployed engineering support
- Security hardening guidance (when available)
- SLAs and compliance support (roadmap)
Managed Hosted (In Development)
Custom
Managed cloud hosting option for smaller teams and organizations without internal DevOps capacity. Details and pricing not yet published.
- Managed deployment (vendor-hosted)
- Infrastructure and patching handled by MZLA
- Suitable for teams lacking self-hosting expertise
- Pricing and availability not yet announced
View full pricing on thunderbolt.io →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
Before you choose Thunderbolt
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Free · Open source
Long-term continuity in multi-session coding projects
Pros
- True data sovereignty—sensitive enterprise data stays on-premises, never routed through vendor clouds
- Model agnostic—swap between commercial (OpenAI, Anthropic), open-source, and local models without application refactor
- Production-grade RAG and orchestration via Haystack on day one, not a stub
- Multi-platform native support (Windows, macOS, Linux, iOS, Android) from launch
- Open-source under permissive MPL 2.0 license; auditable and customizable by default
Cons
- Early-stage product under active development and mid-security audit; not yet production-ready for regulated buyers
- Organizations bear full responsibility for self-hosted deployment, patching, hardening, access control, and monitoring
- Requires DevOps expertise; not designed for ease-of-use like managed competitors (Copilot, ChatGPT Enterprise)
About
- Platforms
- Web, Windows, macOS, Linux, iOS, Android
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- April 22, 2026
Best For
Who it's for
- Enterprises in regulated industries with strict data localization requirements
- Organizations concerned with vendor lock-in and AI pricing volatility
- Public sector and government agencies requiring sovereign AI infrastructure
- Teams already running local model inference with Ollama or llama.cpp
What it does well
- Regulated enterprise AI deployment (finance, healthcare, government requiring data residency)
- GDPR-compliant AI workflows with on-premises data control
- Custom AI agent and RAG pipeline orchestration via Haystack integration
- Model flexibility without re-platforming (switching between cloud and local models)
- Automation of recurring workflows, briefing generation, and topic monitoring
Integrations
Compare Thunderbolt
Frequently Asked Questions
- Is Thunderbolt free?
- Thunderbolt offers a free option alongside paid upgrades. Check the current allowances and terms before choosing a plan.
- Is Thunderbolt open source?
- Yes. Thunderbolt is open source — the source repository is at https://github.com/thunderbird/thunderbolt.
- Does Thunderbolt have an API?
- Yes. Thunderbolt exposes a developer API. See the official documentation at https://thunderbolt.io for details.
- Can I self-host Thunderbolt?
- Yes. Thunderbolt supports self-hosting on your own infrastructure.
- When was Thunderbolt released?
- Thunderbolt was first released in 2026.
- What platforms does Thunderbolt support?
- Thunderbolt is available on: Web, Windows, macOS, Linux, iOS, Android.
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Thunderbolt is a self-hosted AI client that runs models on your infrastructure instead of routing data to vendor clouds.
Thunderbolt lets enterprises run large language models entirely on-premises, choosing which model (OpenAI, Anthropic, or open-source) to invoke without vendor lock-in. The problem it solves is real: regulated industries, EU-based companies, and government agencies face hard constraints around data residency and sovereignty that cloud-first AI tools cannot meet. The core appeal is architectural—your data never leaves your servers. The tool operates on a freemium model with paid tiers for teams, though pricing specifics are not published. The honest friction: Thunderbolt remains under active development and mid-security audit, which means organizations should expect incomplete polish and must own the operational burden of patching and maintaining local deployments.
*Use this if data must stay on-premises and compliance risk outweighs operational complexity; skip it if you need production stability or want to offload infrastructure work.*
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