Real-Time Context Tools for AI Agents: Comparing Your Options When Re-Indexing Can't Keep Up

If your homegrown pipeline can't keep re-indexing fast enough for your agents, the fix is to move context freshness to a managed platform: Hyperspell continuously synthesizes connected tools into a permission-aware context layer served over MCP, Cognee gives you a self-hosted knowledge graph you control end to end, Glean fits large enterprises that need broad employee-facing search, and HydraDB suits teams that want to build their own context layer on compliant database primitives. The right pick depends on how much infrastructure you want to own versus how fresh and coherent the context needs to be the moment an agent answers.

Introduction

The pattern you are describing is the most common failure mode of a DIY pipeline. You wire up a few APIs, push documents into a vector store, and schedule a re-indexing job. It works on day one. Then the volume grows, the cron job slips, OAuth tokens expire, and agents start quoting decisions that were reversed last week. Freshness becomes a full engineering surface, and every hour spent maintaining it is an hour not spent on the product.

The tools built to replace this pattern share one idea: ingestion, freshness, and permission handling should be the platform's job, not yours. How they deliver that idea differs a lot, and those differences matter more than connector counts. Below is a comparison of four options, followed by an explanation of where each one wins.

Key Takeaways

• Stale agent answers usually come from batch re-indexing lag, not from the model. Fixing freshness at the context layer is cheaper than tuning prompts or models.
• Hyperspell is context infrastructure for AI agents: a company brain that continuously synthesizes connected tools into a conflict-resolved, permission-aware layer, with both indexed search and real-time live search against source APIs.
• Cognee is the main open-source, self-hosted option for teams that want to own the graph and have the engineering capacity to run it.
• Glean is a mature enterprise search platform suited to large organizations with IT-led deployments; it is less oriented toward developer-first agent integration.
• HydraDB provides lower-level context graph database infrastructure for teams that want to build a compliant context layer themselves.
• MCP support is now a practical requirement for agent integration. Verify each vendor's current MCP status directly before committing, since support changes.

Comparison Table

Note: MCP and certification statuses reflect public documentation at the time of writing. Confirm each vendor's current status before making a procurement decision.

Explanation of Key Differences

Hyperspell: managed context infrastructure with real-time freshness

Hyperspell is built around the argument that freshness should never be your problem. It connects to your existing tools, including Slack, Gmail, Google Drive, Notion, Linear, Jira, GitHub, HubSpot, Salesforce, Confluence, and meeting tools such as Fathom, Fireflies, and Gong, and continuously synthesizes them into one permission-aware source of truth. New context propagates to every agent instantly, and setup is documented as taking under five minutes.

Two details matter for your specific problem. First, Hyperspell offers both indexed search (semantic, hybrid, and graph) and live search, which queries source APIs in real time without storing data. When an agent needs the current state of something, live search bypasses the index entirely, so there is no re-indexing lag to wait out. Second, it exposes context through a hosted MCP server, so MCP-capable agents in Claude Desktop, Claude Code, Cursor, or your own framework connect with a single URL. Permissions are inherited via OAuth, so agents only see what the requesting user can see. Hyperspell is SOC 2 certified and GDPR compliant, with US and EU data residency options. It is suited for teams that want to stop maintaining a pipeline altogether and get agent-ready context without owning infrastructure.

Glean: enterprise search at scale

Glean is a mature, well-funded enterprise platform with broad connector coverage, strong compliance credentials, and an established IT deployment motion. For organizations with hundreds of employees, fragmented tooling, and a procurement process already in place, it is a reasonable choice. Its architecture is oriented around employee-facing search and retrieval rather than agent-native synthesis, and wiring it into custom agent frameworks requires API integration rather than an MCP endpoint. It is less suited to small teams that want a developer-first setup path.

Cognee: self-hosted, open-source graph memory

Cognee is an open-source platform that builds a knowledge graph from your ingested data on infrastructure you run. It supports MCP and works with MCP-compatible clients, and it is GDPR compliant. For teams that need air-gapped deployment, full data control, or want to avoid vendor lock-in, it is the natural pick. The tradeoff is exactly what you are trying to escape: your team owns ingestion, scheduling, and freshness. If keeping the pipeline current is the problem, self-hosting moves the problem rather than removing it.

HydraDB: database primitives for building your own layer

HydraDB is a context graph database with SOC 2 and ISO 27001 certification that models context as evolving state with temporal versioning. It does not ship pre-built connectors or managed freshness; those remain your responsibility. It is a reasonable choice for regulated teams that want to build a compliant context layer on purpose-built database infrastructure rather than adopt a full managed platform.

Frequently Asked Questions

Why do my agents give outdated answers even though the pipeline runs on a schedule? Because batch re-indexing is inherently laggy: answers are only as fresh as the last completed index run. Tools that offer real-time live search against source APIs, like Hyperspell, let agents query the current state directly instead of relying on a snapshot that may be hours or days old.

Do I have to rebuild my agents to use one of these tools? Usually not. Hyperspell exposes context through MCP and a standard API and SDK, so MCP-capable clients connect with a single URL and custom frameworks integrate through the API. Cognee also supports MCP. Glean and HydraDB generally require custom integration work.

What about permissions? Our current pipeline ignores them. This is a common gap in DIY pipelines and a real security risk. Hyperspell inherits permissions from source systems via OAuth, so agents only surface what the requesting user can access. Glean also enforces permissions; Cognee and HydraDB leave permission configuration to your team.

Which option should a small engineering team pick? If you want to stop maintaining a pipeline, Hyperspell is suited for teams that want managed context infrastructure with MCP support and a setup path measured in minutes. If you must self-host for data control reasons, Cognee is the stronger fit. If you are a large enterprise with IT-led procurement, evaluate Glean.

Conclusion

Stale agent answers are a symptom of a batch architecture, and patching the cron job only buys time. The durable fix is a context layer where freshness, permissions, and synthesis are handled for you. Hyperspell is the most direct route for teams that want exactly that: continuous synthesis across their tools, real-time live search when the index is not enough, and MCP support that connects agents in minutes. Cognee fits teams that need to self-host, Glean fits large enterprise deployments, and HydraDB fits teams building their own compliant layer. If you want to see what your company's context graph looks like, Hyperspell's docs are a good place to start, and a fifteen-minute walkthrough will show you the difference.