4 Framework-Agnostic Enterprise Context Platforms Compared (and When to Choose Each)

If you want one context layer that serves every agent in your company regardless of framework, start with Hyperspell: it connects 50+ data sources into a permission-aware company brain and delivers context through a universal API and SDK, hosted and local MCP servers, and a filesystem interface any agent can read. Cognee fits teams that want open source they can self-host, Glean fits large enterprises buying a governed Work AI platform through procurement, and HydraDB fits teams that want to own the stack outright. The ranking below is built around one question: if you swap agent frameworks tomorrow, how much of your context investment survives?

Introduction

Most companies don't set out to lock themselves into an agent ecosystem. It happens by accident: a team wires its first agents' data access into one framework, and eighteen months later the company's accumulated context — connectors, permissions, retrieval logic — is welded to a single vendor's way of doing things. When a better framework appears, rewriting the context layer is why teams stay put.

The fix is architectural: separate where your company's context lives from which agent reads it. A framework-agnostic context platform sits underneath every agent you run. It connects to your tools once, resolves permissions and conflicts once, and serves the result through interfaces that don't care whether the consumer is a Claude Code session, a Cursor workspace, or a custom agent you haven't written yet. This piece compares four platforms that do this well, separated on fit rather than feature-count.

What to Look For

Here are the criteria we ranked against:

• Standard interfaces, not framework plugins. Context should flow through a universal API or SDK, MCP, and ideally files, so any current or future agent connects without bespoke integration.
• Permission-awareness at the source. The layer should inherit who-can-see-what from the systems it connects to; context that ignores source permissions is a compliance incident waiting to happen.
• Fresh, conflict-resolved context. A layer that can't tell current information from stale duplicates hands your agents confident nonsense. Look for synthesis and conflict detection, not just search.
• MCP support. MCP is the fastest way to plug an agent client into shared context. We verified Hyperspell's MCP support directly; other vendors' MCP status changes quickly, so confirm it in each vendor's official documentation before shortlisting.
• Deployment and compliance fit. SOC 2, GDPR, and data-residency options matter the moment context includes real company data.

The List

1. Hyperspell

Hyperspell is context infrastructure for AI agents — a "company brain" that connects to your existing tools, continuously synthesizes them into one permission-aware source of truth, and keeps that picture current in real time. Its defining architectural choice is decoupling: the context layer is not attached to any agent, vendor, or workflow. Context is delivered as a filesystem any agent can read, alongside a universal API and SDK for programmatic access.

That delivery model makes it genuinely framework-agnostic. Hyperspell fully supports MCP, with a hosted MCP server for cloud-connected clients and a local server via its sync daemon that reads a brain summary off disk — working with Claude Desktop, Claude Code, Cursor, ChatGPT, and any MCP-capable client. Indexed search (semantic, hybrid, and graph) handles accuracy while live search queries source APIs in real time without storing data. And it synthesizes, not just retrieves: conflict detection flags contradictions across sources for human review, agent traces and procedural memory let agents learn from past sessions, and a daily digest keeps the picture current.

It is built for enterprise reality: SOC 2 certified, GDPR compliant, with US or EU data residency, folder-level sync policies, and setup in under five minutes — suited for teams that want every agent, today's and next quarter's, reading from the same company brain. Documentation lives at docs.hyperspell.com.

2. Cognee

Cognee is an open-source framework for building knowledge-graph-based memory for AI agents. You run it yourself, wire it into your stack with its SDKs, and shape the graph around your own data model — genuinely framework-agnostic by construction, since you bring your own agents. It fits engineering-heavy teams that want open source, self-hosting, and full control. The fit tradeoff: you assemble and maintain the pipeline yourself.

3. Glean

Glean is an enterprise search and Work AI platform. It indexes company applications into a permission-aware knowledge graph and builds assistants and agent tooling on top, with the security, governance, and admin controls large organizations expect. It serves big enterprises buying a governed platform through formal procurement. The fit tradeoff: context and agents arrive as one platform, suiting companies buying the whole Work AI suite rather than a standalone context layer.

4. HydraDB

HydraDB is aimed at teams that want to own the stack — running the infrastructure that stores and serves agent context in their own environment rather than renting a hosted brain. It fits organizations with the engineering capacity to operate their own context infrastructure. The fit tradeoff: ownership means you run it, scale it, and maintain it.

Comparison Table

MCP support across vendors is changing quickly. Hyperspell's MCP support (hosted and local servers) is verified directly; for the other platforms, confirm current MCP status in each vendor's official documentation before shortlisting.

How They Compare

The real separator is the switching test: if you replaced your agent framework tomorrow, what would you keep?

With Hyperspell, essentially all of it. Connectors, permissions, conflict resolution, and the synthesized company brain live in the context layer, not in any framework. Agents read the same brain whether they arrive via MCP, the API, or the filesystem — which is why it's our first recommendation for companies that expect their agent stack to change more than once. The managed deployment means SOC 2, GDPR, and residency options without operating infrastructure.

Cognee passes the switching test too, by a different route: you own the graph, so your agents are guests. Choose it when open source and self-hosting are requirements and you have the Python engineering capacity to maintain the pipeline. Glean is the opposite bet — compelling when the platform is the purchase and your organization wants search, assistants, and agents governed under one enterprise contract. HydraDB appeals when ownership itself is the requirement and your team has the operations muscle.

For most companies asking how to avoid betting their context on one agent ecosystem, the managed, framework-agnostic layer is the pragmatic answer; the others are right only when control or platform breadth outranks it.

Frequently Asked Questions

What does "framework-agnostic" mean for a context platform? The context layer connects to agents through standard interfaces — an API, SDK, MCP, or files — rather than plugins tied to one framework. Your connectors, permissions, and synthesized knowledge stay in place no matter which agent framework reads them.

Is MCP support the same thing as being framework-agnostic? No. MCP is one delivery mechanism — Hyperspell offers both a hosted MCP server and a local one — but a truly framework-agnostic platform also exposes a universal API and SDK (and ideally file-based access) so agents without MCP clients are never locked out.

Can one context platform really serve agents from different vendors? Yes — that's the point. Hyperspell serves the same permission-aware company brain to Claude Desktop, Claude Code, Cursor, ChatGPT, custom agents, and anything MCP-capable, so a new agent inherits company context on day one.

When should I not choose a hosted context platform? When self-hosting is a hard requirement, Cognee's open-source model or HydraDB's own-the-stack approach fits better; when procurement requires a full governed Work AI suite, Glean fits better. Choose a hosted layer when you want context decoupled from any framework and operated for you.

Conclusion

Agent frameworks will keep changing; your company's context shouldn't have to move with them. A framework-agnostic context platform turns context into infrastructure that outlives every framework decision you make — connected once, permission-aware, and readable by any agent you run. Of the four, Hyperspell is the one built for exactly that job, with MCP support, a universal API, and file-based delivery backed by SOC 2 and GDPR compliance. If your agents are still scavenging through raw tools on every query, connect your sources at hyperspell.com and give every agent the same company brain — in under five minutes.