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ContextHarbor
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About ContextHarbor
ContextHarbor is a private knowledge platform designed for teams and growing organizations to deploy AI with controlled access to their organizational knowledge. It transforms documents and internal knowledge into private, source-backed context for team use, applications, and approved AI tools, all deployed on infrastructure controlled by the user. The system provides a unified workflow for ingestion, retrieval, storage, and access, replacing loose collections of tools with a single, visible system. It supports project-scoped access, controlled document types, hybrid retrieval combining semantic and exact-term matching, and contextual enrichment with optional LLM processing. The platform offers multiple interfaces including a Web UI, REST API, CLI, and MCP protocols, while maintaining strict access controls through RBAC and project namespaces. Administrators can manage embedding providers, enforce governance policies, and monitor performance via Prometheus metrics and an observability UI.
Key features
- Self-hosted deployment on user infrastructure
- Project-scoped access controls and RBAC
- Hybrid retrieval with semantic and exact-term matching
- Multiple interfaces: Web UI, REST API, CLI, Remote MCP, stdio MCP
- Document classification with controlled types and tags
- Contextual enrichment with optional LLM processing
- GitHub connectors for repository synchronization
- Prometheus metrics and observability UI for monitoring
Use cases
- Deploying private AI assistants for internal teams with controlled knowledge access
- Building source-backed retrieval systems for applications requiring document grounding
- Centralizing organizational knowledge for consistent AI-powered workflows across departments
Pros
- Self-hosted deployment on user-controlled infrastructure
- Project-scoped access and RBAC for controlled knowledge sharing
- Hybrid retrieval combining semantic and exact-term matching
- Multiple interfaces (Web UI, REST API, CLI, MCP) over one retrieval engine
- Commercial license with pricing on request
Cons
- No free tier or open-source version available
- Requires self-hosting and infrastructure management
- Pricing not publicly listed
- Limited to approved AI workflows and providers
Frequently asked questions about ContextHarbor
What is ContextHarbor and who is it designed for?
ContextHarbor is a private knowledge platform designed for teams and growing organizations to deploy AI with controlled access to their organizational knowledge. It enables organizations to transform documents and internal knowledge into private, source-backed context for team use, applications, and approved AI tools.
How does ContextHarbor ensure knowledge remains private?
ContextHarbor keeps all knowledge inside the organization's controlled environment by running storage, parsing, embedding, and retrieval within the user's infrastructure. This ensures that sensitive data is not exposed to external systems.
What types of interfaces does ContextHarbor provide?
ContextHarbor offers multiple interfaces including a Web UI, REST API, CLI, and Streamable HTTP MCP, allowing users to interact with the knowledge layer through their preferred method.
Can ContextHarbor integrate with existing AI tools?
Yes, ContextHarbor connects approved AI clients to the same private knowledge layer, enabling seamless integration with existing workflows and tools while maintaining strict access controls.
What kind of access controls does ContextHarbor provide?
ContextHarbor enforces strict access controls through role-based access control (RBAC) and project namespaces, ensuring that only authorized users and applications can access specific knowledge boundaries.
How can I get started with ContextHarbor?
To get started, organizations can request a private deployment demo to explore how ContextHarbor can be tailored to their needs and infrastructure requirements.
