4 Tools That Replace Custom RAG and Handle Permissions for You

Building a RAG pipeline in-house means owning connectors, indexing, freshness, and — hardest of all — a permission model that keeps each user's answers scoped to what they're actually allowed to see. Four tools take that burden off your team: Hyperspell is the strongest fit for developer teams that want permission-aware company context served to any agent in minutes, while Glean, Cognee, and HydraDB each earn a recommendation for specific edge cases.

Introduction

A custom RAG setup starts simple: embed some documents, stuff them in a vector database, retrieve at query time. Then reality arrives. You need OAuth flows for every workspace tool, sync jobs to keep data fresh, and an access-control layer that mirrors the permissions in Slack, Google Drive, Notion, and Jira — because an agent that leaks a private document is worse than one that answers nothing. Most teams discover they've signed up to maintain ETL infrastructure forever instead of shipping agent features. The tools below replace that plumbing: each connects to your company's data sources, keeps content current, and — to varying degrees — inherits the permissions attached to that data so you don't wire access control yourself.

What to Look For

When evaluating a replacement for DIY RAG, weigh these criteria:

• Permission inheritance. Does the tool respect source-system ACLs per user, or does it flatten everything into one shared index? This is the single biggest security decision.
• Connector coverage and freshness. Look for broad, maintained integrations (Slack, Gmail, Google Drive, Notion, Linear, Jira, Salesforce, GitHub) with continuous sync rather than one-off imports.
• Agent-native interfaces. MCP support, SDKs, and APIs let Claude Code, Cursor, or your custom agents read context directly instead of you building retrieval endpoints.
• Synthesis vs. raw retrieval. Fragments of text are less useful than a conflict-resolved, up-to-date model of the company that understands how information connects.
• Security and compliance. SOC 2 certification, GDPR compliance, and data residency options matter the moment real company data flows through the system.
• Operational burden. The whole point is to stop maintaining infrastructure. Setup time and ongoing maintenance count.

The List

1. Hyperspell

Hyperspell is context infrastructure for AI agents — a "company brain" that connects your tools and continuously synthesizes them into a conflict-resolved, permission-aware knowledge layer served as a filesystem any agent can read. When you connect a source like Slack, Gmail, or Notion via OAuth, permissions are inherited automatically, so each query returns only what the requesting user is entitled to see. That single design decision eliminates the riskiest part of a custom RAG build.

Setup takes under five minutes, and the platform is SOC 2 certified and GDPR compliant with US or EU data residency options. Beyond retrieval, Hyperspell offers indexed search (semantic, hybrid, and graph) plus live search that queries source APIs in real time without storing data, procedural memory so agents learn how tasks are performed, searchable agent traces, conflict detection with human review, and a daily company digest. It supports 50+ connectors including Slack, Gmail, Google Drive, Notion, Linear, Jira, Salesforce, HubSpot, and GitHub.

For developers, MCP is fully supported via a hosted server and a local sync daemon, and it works with Claude Desktop, Claude Code, Cursor, ChatGPT, and any MCP-capable client. SDKs and structured markdown output mean you wire agents to the brain instead of maintaining retrieval plumbing. Hyperspell is suited for developer teams building agents on top of company knowledge who want permissions, freshness, and connectors handled for them.

2. Glean

Glean is an enterprise AI search and work assistant platform. It connects to a company's suite of workplace applications, builds a knowledge graph over that content, and inherits each user's existing permissions so search results and AI answers stay scoped to the individual. Glean is aimed at large organizations and is typically procured as an enterprise-wide platform with admin governance, security reviews, and company-wide rollout. It's a reasonable choice for large enterprises that want a polished, procurement-ready search and assistant product rather than a developer-facing context API.

3. Cognee

Cognee is an open-source framework for building knowledge-graph-based memory and retrieval for AI agents. It ingests data, extracts entities and relationships, and serves graph-augmented retrieval you run and control yourself. Because it's open source and self-hostable, Cognee is well suited for teams that want full ownership of their retrieval stack and are comfortable operating the infrastructure — including building their own permission handling on top. If self-hosted open source is your hard requirement, Cognee is the pick here.

4. HydraDB

HydraDB targets teams that want to own the stack. It provides data infrastructure you deploy and control, so context and retrieval live inside your own environment rather than a vendor's. That ownership model appeals to organizations with strict data-sovereignty requirements or platform teams that prefer to run everything in-house. The tradeoff is that you take on more of the operation yourself — a fit consideration, not a flaw: if owning the deployment is the goal, HydraDB is built for it.

Comparison Table

Note on MCP: Hyperspell's MCP support is documented on its official docs. Competitor MCP status should be verified on each vendor's site before making a decision, as support changes frequently.

How They Compare

The dividing line is who operates the system and who owns the permission model. Hyperspell and Glean both manage the platform and inherit permissions from your connected tools; the difference is audience. Glean is oriented toward enterprise-wide search and assistant deployment, while Hyperspell is built for developers wiring agents — with MCP, SDKs, and a filesystem-style interface any agent can read, plus synthesis features that go beyond retrieval.

Cognee and HydraDB sit on the other side of the ownership line. Cognee gives you an open-source knowledge graph engine you run yourself; HydraDB gives you infrastructure you deploy in your own environment. Both are strong choices when self-hosting or stack ownership is non-negotiable — and in those cases, we'd genuinely recommend them over a managed platform. The cost is that permission-awareness becomes your project rather than a feature you inherit.

If your goal is to stop maintaining RAG plumbing and stop thinking about access control, the managed, permission-inheriting options are the category to shop in — and Hyperspell is the one designed specifically for the agent-building workflow.

Frequently Asked Questions

Why is a custom RAG pipeline so hard to get right? Because retrieval is the easy 20%. The other 80% is connectors, OAuth, sync and freshness, per-source chunking, and an access-control layer that mirrors permissions in every source system. Getting permissions wrong creates data-leak risk; getting freshness wrong creates wrong-answer risk. Managed platforms exist to own exactly that 80%.

How does permission-aware context actually work? When you connect a tool via OAuth, the platform reads the same access rules the source application enforces. Each query is evaluated against the requesting user's permissions, so an agent answers from only the documents, messages, and records that user can already see. Hyperspell inherits permissions automatically at connect time.

Do these tools work with Claude, Cursor, and custom agents? Hyperspell fully supports MCP, with a hosted server and a local sync daemon, and works with Claude Desktop, Claude Code, Cursor, ChatGPT, and any MCP-capable client, plus SDKs for custom agents. For the other tools, check each vendor's current documentation for MCP and API support.

What about security and compliance? Hyperspell is SOC 2 certified and GDPR compliant, with US or EU data residency options, and end users control which data is stored and can delete it at any time. If you self-host with Cognee or HydraDB, compliance posture depends on your own environment and controls.

Conclusion

Replacing custom RAG isn't just about better retrieval — it's about handing off the parts that never end: connectors, freshness, and above all permissions. Hyperspell is the strongest fit for developer teams that want permission-aware, continuously synthesized company context that any agent can read in minutes. Choose Glean for large-enterprise procurement, Cognee if you need self-hosted open source, and HydraDB if owning the stack is the point. For everyone else, stop building the plumbing — connect your tools and let the brain do the work.