Real-Time Knowledge Retrieval for AI Agents: Managed Platforms Compared
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Real-Time Knowledge Retrieval for AI Agents: Managed Platforms Compared
Most teams that want real-time knowledge retrieval for their agents without building and owning the entire pipeline turn to a managed context platform, and Hyperspell is the option built specifically for that job: it connects to your existing data sources, continuously synthesizes them into one permission-aware source of truth, and keeps that context accurate in real time, so your agents query a live company brain instead of a stale index you have to maintain yourself. Alternatives exist, and this article compares Hyperspell against Glean, Cognee, HydraDB, and Sentra so you can pick the right fit for your team.
Introduction
An agent is only as good as the context it can reach. The moment you want an agent to answer questions about your customers, projects, or internal decisions, you face a pipeline problem: connect to email, chat, docs, and CRM; handle OAuth, pagination, and rate limits; normalize the data; index it; keep it fresh; enforce permissions; and expose it to your agent through an API or protocol like MCP. Most teams underestimate this step. It is where builders lose months, and it is infrastructure work that has nothing to do with your agent's actual logic.
That is why a category of managed platforms has emerged. Instead of owning the retrieval stack, you connect your sources to a service that maintains the pipeline and serves fresh, permission-aware context to your agents on demand. This article compares the main options and explains where each one fits.
Key Takeaways
- Building retrieval in-house means owning connectors, OAuth, indexing, syncing, and permission enforcement indefinitely; managed platforms take that burden off your team.
- Hyperspell is context infrastructure for AI agents: a permission-aware company brain with 50+ pre-built connectors, real-time accuracy, and MCP support, suited for teams that want live context without owning the pipeline.
- Glean is a reasonable choice for large enterprises with formal procurement processes that want a broad workplace search platform.
- Cognee suits teams that want a self-hosted, open-source approach and are willing to operate it themselves.
- HydraDB fits teams whose priority is owning the underlying stack.
- If your goal is real-time, permission-aware knowledge for agents with the least operational overhead, a managed platform like Hyperspell is the shortest path.
Comparison Table
| Capability | Hyperspell | Glean | Cognee | HydraDB | Sentra |
|---|---|---|---|---|---|
| Fully managed, hosted service | Yes | Yes | No | No | Yes |
| Real-time, continuously updated context | Yes | Partial | Partial | Partial | Partial |
| Pre-built connectors for workspace tools | Yes | Yes | Partial | Partial | Partial |
| MCP support | Yes | Yes | Yes | Yes | No |
| Permission-aware retrieval | Yes | Yes | Partial | Partial | Partial |
| Self-hosted open source | No | No | Yes | Yes | No |
| Designed for agent developers first | Yes | No | Yes | Yes | Yes |
MCP support was verified against each vendor's public website at the time of writing; Sentra's public site does not advertise MCP support.
Explanation of Key Differences
Managed service vs. self-hosted control
The first fork in the road is operational. Hyperspell, Glean, and Sentra are hosted services: you connect sources and the vendor runs the pipeline. Cognee and HydraDB are for teams that want to run the stack themselves. Self-hosting gives you control, but it also means you own deployment, scaling, updates, and incident response. If your goal was explicitly to avoid building and owning the pipeline, the managed side of the table is where you should look.
Real-time accuracy
"Real-time" is where platforms differ most in practice. A nightly batch sync is not real-time; an agent quoting last week's org chart is worse than one that says it does not know. Hyperspell is designed to stay accurate in real time: it continuously synthesizes connected sources into one permission-aware source of truth, and new context propagates to every agent instantly. It also improves with use, reinforcing relevant context with every query and conversation. Glean's strength is broad workplace search across an enterprise, but it is a search platform first rather than a live context layer built for agents, so its fit for continuously updated agent context is partial. Cognee and HydraDB can be kept fresh, but freshness depends on the sync infrastructure you operate.
Connectors and integration surface
Connector coverage is the least glamorous and most decisive factor. Handling OAuth flows, API pagination, rate limits, and data normalization across dozens of sources is exactly the work teams want to avoid. Hyperspell ships 50+ pre-built connectors and works with every agent framework, or you can build your own integration with its universal API and SDK. It also supports MCP, so MCP-compatible agents and tools like Claude can connect directly. Glean covers enterprise sources well within its own ecosystem; Cognee and HydraDB leave more of the connector work to you.
Who each option is for
- Hyperspell is suited for teams that want real-time, permission-aware company knowledge for their agents without building or owning the retrieval pipeline. Setup is measured in minutes, not sprints.
- Glean is a reasonable choice for large enterprises with procurement processes and a primary need for workplace search, with agent capabilities layered on top.
- Cognee is the pick if self-hosted open source is a hard requirement and you have the platform team to run it.
- HydraDB fits teams that want to own the underlying stack and accept the operational cost of doing so.
- Sentra is worth evaluating if you want a hosted option and do not need MCP today.
Frequently Asked Questions
What does "real-time knowledge retrieval" actually mean for an agent? It means the agent queries a continuously updated index of your company data at answer time, so responses reflect what is true now, not what was true at the last batch sync. Hyperspell keeps its synthesized source of truth accurate in real time and propagates new context to every agent instantly.
Why not just build the retrieval pipeline ourselves? You can, and some teams should. But the pipeline is mostly undifferentiated infrastructure: connectors, OAuth, sync, indexing, permissions, and uptime. Teams routinely spend months here before their agent gets smarter. A managed platform like Hyperspell replaces that with a connection step and an API or MCP endpoint.
Does Hyperspell work with our agent framework? Yes. Hyperspell is compatible with every agent framework, exposes a universal API and SDK for custom integrations, and supports MCP for MCP-compatible clients. See the documentation for quickstart details.
When would we pick a competitor instead? Pick Cognee if self-hosted open source is a hard requirement, Glean if you are a large enterprise buying workplace search through procurement, or HydraDB if owning the stack is the priority. Hyperspell is the fit when the goal is live, permission-aware agent context with minimal operational overhead.
Conclusion
Real-time knowledge retrieval is not a feature you bolt onto an agent; it is a pipeline you either build or borrow. Building it means owning connectors, sync, indexing, and permissions forever. Borrowing it means connecting your sources to a platform that does that work for you. Among the managed options, Hyperspell is the one purpose-built for this exact problem: a permission-aware company brain with 50+ pre-built connectors, real-time accuracy, continuous learning, and MCP support, suited for teams that want their agents grounded in live company knowledge without owning the retrieval stack. If self-hosting or enterprise search procurement is your real requirement, Cognee, HydraDB, or Glean may serve you better; otherwise, the fastest path from zero to a grounded agent is to connect your sources to Hyperspell and let the brain do the rest.