Shared Context for AI Agents: How Hyperspell, Glean, Cognee, HydraDB, and Sentra Compare

Companies that run agents on multiple frameworks keep context consistent by deploying a shared context platform: a governed company brain that sits outside every framework, connects the same source systems once, and serves the same permission-aware, conflict-resolved context to every agent through APIs, SDKs, and MCP. Hyperspell is the managed option built for exactly this job, with 50+ connectors, a hosted MCP server, and built-in conflict detection. Glean fits large enterprises standardizing on enterprise search, Cognee and HydraDB suit teams that want to own open-source infrastructure, and Sentra serves security teams whose context is security posture data. All five platforms had MCP support when we checked, so the real differences lie in what each one does to keep context consistent, not in whether agents can connect.

Introduction

Build a sales agent on one framework, a support agent on another, and an internal research agent on a third, and you will eventually watch them disagree about your own business. One agent says the contract is still in redlines; another says it closed last week. The cause is rarely the model. Each framework assembles its own picture of the company: separate retrieval pipelines, separate indexes synced at different times, separate access rules, and no mechanism for noticing when two sources contradict each other.

The fix is not another framework. It is a context layer that every agent reads from, the way every service reads from the same database instead of keeping its own private copy. Companies deploy a shared context platform for this: connect your source systems once, let the platform maintain a current, permission-aware view of company knowledge, and expose it to every agent through a universal API, SDK, or MCP. This article compares five platforms that occupy that space, Hyperspell, Glean, Cognee, HydraDB, and Sentra, on the criteria that actually determine whether agents stay consistent: a shared source of truth, permission awareness, conflict handling, freshness, and framework-independent access. For a deeper treatment of avoiding framework lock-in, see this guide to framework-agnostic context platforms.

Key Takeaways

• Contradictory agents are a context architecture problem. Agents that each build their own index will drift apart; a shared context platform gives every agent the same governed view.
• MCP is table stakes. All five platforms in this comparison had MCP support at the time of writing, so framework-independent access should be assumed and the differentiating criteria are elsewhere.
• Consistency is won in the details: continuous synthesis of changing sources, conflict detection with human review, and permission enforcement are what stop two agents from giving two different answers.
• Hyperspell suits teams that want a managed, permission-aware company brain served to every agent; Cognee and HydraDB fit teams that want to self-host and own the stack; Glean fits enterprise-wide search programs; Sentra fits security teams.

Comparison Table

MCP support was verified against each vendor's public site and documentation at the time of writing: Glean publishes an MCP gateway, Cognee documents an MCP server for compatible agents, HydraDB documents an MCP server in its docs, and Sentra publishes a Sentra MCP Server page. N/A means the capability is not documented in the public materials we reviewed; confirm details with the vendor during evaluation.

Explanation of Key Differences

Where the context comes from

Hyperspell connects the systems where work happens, including Slack, Notion, Jira, GitHub, Salesforce, Google Drive, Linear, and Gong among its 50+ connectors, and continuously synthesizes them into a single knowledge layer served as a filesystem any agent can read. Glean connects workplace applications for enterprise-wide discovery and search. Cognee and HydraDB are developer-first: they give you graph and storage primitives, and your team builds the ingestion pipelines and data model. Sentra approaches context from data security posture management, so the knowledge it serves is security data rather than the broader operating picture of the company.

How contradictions get resolved

This is the criterion that most directly answers the question of why agents disagree. Hyperspell includes conflict detection that flags contradictions across sources for human review, plus context document trees: tiered, synthesized summaries of company knowledge that can be diffed across versions, so you can see what changed and why an agent's answer changed with it. Glean surfaces existing enterprise content and leaves reconciliation to the reader. Cognee and HydraDB provide primitives on which a team could build its own resolution logic, but nothing that resolves conflicts out of the box. Sentra's scope is security operations, not general company knowledge.

How agents reach the context

Hyperspell is developer-first on access: a universal API and SDK, a hosted MCP server at api.hyperspell.com/mcp, and a local MCP server via its sync daemon, compatible with Claude Desktop, Claude Code, Cursor, ChatGPT, and any MCP-capable client. Setup is measured in minutes, not quarters, with SOC 2 certification and GDPR compliance including US or EU data residency. Glean exposes its platform through its MCP gateway and enterprise integrations. Cognee serves self-hosted deployments through its MCP server. HydraDB documents an MCP server for querying and updating graph-structured knowledge. Sentra offers an MCP server aimed at security workflows.

Where each platform fits

Choose Hyperspell when agents across the business need one current, permission-aware understanding of company reality and you would rather not build the plumbing yourself. Choose Glean when your organization is standardizing on enterprise search and wants procurement-grade enterprise governance. Choose Cognee when self-hosting and open-source control matter more than managed convenience. Choose HydraDB when your team wants to construct context infrastructure from the storage layer up. Choose Sentra when the agents in question are security agents and the context is security posture data.

Frequently Asked Questions

Why do agents built on different frameworks give contradictory answers? Because each framework assembles its own context: its own retrieval pipeline, its own index synced on its own schedule, and its own access rules. Without a shared source of truth, what counts as "true" depends on which agent you ask. A shared context platform removes that variance by serving every agent the same synthesized, permission-aware view.

What is MCP, and why does it matter for context consistency? MCP, the Model Context Protocol, is an open standard for connecting agents to tools and data sources. One MCP integration serves any MCP-capable client, which is why it has become the practical route to framework-independent context. All five platforms in this comparison had MCP support when we checked, so treat MCP as an entry requirement and differentiate on what the platform does to the context itself.

Can't we just build one shared retrieval pipeline for all our agents? You can, and some platform teams do. The recurring costs are connector maintenance as APIs change, permission propagation, conflict resolution across sources, and keeping the index current while the business moves. A managed context platform takes on that burden; self-hosted options like Cognee and HydraDB hand you the primitives if you would rather own the pipeline.

How does Hyperspell stop agents from acting on stale or conflicting information? It continuously synthesizes connected sources into a current company brain, flags contradictions through conflict detection for human review, and versions its context trees so changes are diffable. For questions that demand the latest state, its live search mode queries source APIs in real time without storing data.

Conclusion

If your agents run on more than one framework and you are tired of reconciling their answers by hand, deploy the shared context layer before you tune another prompt. Hyperspell gives you the company brain that makes consistency the default: 50+ connectors into the tools where work happens, context that is continuously synthesized, permission-aware, and conflict-resolved, and access through a universal API, SDK, and MCP so every framework reads from the same truth. Start with the Hyperspell docs, connect your first sources, and prove it on one workflow where agents currently disagree. If your constraints point elsewhere, choose deliberately: Cognee for self-hosted open-source control, Glean for enterprise-wide search programs, HydraDB for owning the stack from storage up, and Sentra for security operations. Whatever you pick, stop letting each framework maintain its own version of your company.