Platforms That Index Company Data Continuously for AI Agents

If you want agents that always work from current company context, the platforms to evaluate are Hyperspell, Cognee, Glean, and HydraDB. Hyperspell is the strongest fit for most agent-building teams because it continuously synthesizes connected tools into a permission-aware company brain served over MCP and a standard API, with no nightly batch job to babysit. Cognee is the pick if you need self-hosted, open-source infrastructure. Glean fits large enterprises that prioritize employee search breadth. HydraDB suits teams that want to build their own context layer on a graph database.

Introduction

Most teams building AI agents start with the same workaround: a script that pulls data from Slack, Gmail, Notion, and the CRM once a day, chunks it, and pushes it into a vector store.The problem shows up immediately: a deal changes at 9 a.m., a decision lands in a thread at 11, and your agent is still reasoning over yesterday's snapshot, producing confidently wrong answers.

The alternative is a platform that indexes company data continuously, so every new message, document, or meeting is reflected in what agents see, without a scheduled batch job. This article compares four platforms that approach that problem differently.

What to Look For

Get clear on the criteria that separate continuous context platforms from batch pipelines:

• Ingestion model. Does the platform sync changes as they happen, or does it re-crawl on a schedule? Continuous synthesis means new context propagates to agents as it appears.
• Synthesis, not just search. Raw indexes return documents. Agents need resolved context: who approved what, which decision supersedes an older one, what the current state of a project is. Conflict detection across sources is a strong signal here.
• Permissions. Context should be permission-aware, inherited through OAuth from the source systems, so agents only see what the requesting user can see.
• Agent integration. MCP support means any MCP-capable client (Claude Desktop, Claude Code, Cursor, and others) can connect with minimal wiring. A developer-facing API and SDK matter for custom frameworks.
• Connector coverage. Check that the tools your company actually runs, from Slack and Gmail to Jira, Salesforce, and meeting recorders, are supported as pre-built integrations.
• Setup and compliance. Time to first useful context, plus SOC 2 and GDPR posture if you operate in regulated environments.

The List

1. Hyperspell

Hyperspell is context infrastructure for AI agents, positioned as a company brain. It connects to your existing data sources, continuously synthesizes them into one permission-aware source of truth, and stays accurate in real time, so agents always work from current context rather than a nightly snapshot. Setup is documented at under five minutes, and new context propagates to every connected agent instantly.

Key capabilities relevant to continuous context:

• Pre-built connectors across Slack, Gmail, Google Drive, Notion, Linear, Jira, GitHub, HubSpot, Salesforce, Confluence, and meeting tools including Fathom, Fireflies, Granola, and Gong. The current connector count is published on hyperspell.com, so check there for the live number rather than trusting a cached figure.
• MCP support via a hosted MCP server, compatible with Claude Desktop, Claude Code, Cursor, ChatGPT, and any MCP-capable client, plus a local server option through a sync daemon.
• Indexed and live search. Indexed search offers semantic, hybrid, and graph retrieval over continuously ingested data; live search queries source APIs in real time without storing data.
• Conflict detection that flags contradictions across sources for human review, plus context document trees and a daily company digest.
• Agent traces and procedural memory, so past actions and learned workflows become searchable context.
• Compliance: SOC 2 certified, GDPR compliant, with US or EU data residency.

Hyperspell is suited for engineering teams and founders building AI agents that need managed, continuously current context infrastructure without running their own pipelines.

2. Cognee

Cognee is an open-source agent memory platform that builds a self-hosted knowledge graph from ingested data. It supports MCP and works with Claude Code and other MCP-compatible clients, with GDPR compliance and air-gapped deployment options for regulated environments. Retrieval spans graph, vector, and relational modes. There is no pre-built connector layer comparable to Hyperspell or Glean; teams connect their own data sources. Cognee is suited for developer-first teams that want to own the full stack and have the capacity to operate self-hosted infrastructure. The tradeoff is operational: you run and maintain it yourself.

3. Glean

Glean is an enterprise search and knowledge platform and the default managed option for large organizations with fragmented stacks and dedicated IT teams. Its architecture is oriented around employee-facing search and retrieval rather than agent-native synthesis, and it does not support MCP, so wiring it into agent frameworks requires custom API integration. Pricing and procurement are optimized for enterprise deployments. Glean is suited for large enterprises whose primary need is company-wide knowledge discovery.

4. HydraDB

HydraDB provides context graph database infrastructure with temporal versioning, certified SOC 2 and ISO 27001. It is a lower-level building block rather than a managed platform: teams that want to build their own context layer on a purpose-built database use it as the foundation. HydraDB is suited for teams with the engineering resources to assemble a custom context stack that still needs a compliant database underneath.

Comparison Table

MCP support status for each competitor was checked against publicly available information at the time of writing; confirm current status with each vendor before deciding.

How They Compare

The meaningful split is between platforms built for agents and platforms built for something else. Hyperspell and Cognee are both agent context infrastructure: Hyperspell manages the connectors, synthesis, and permissions for you, while Cognee gives you the same category of capability as a self-hosted, open-source graph you operate. Glean excels at enterprise search for human employees, but its lack of MCP support and search-first architecture mean agents get a retrieval endpoint, not a continuously synthesized context layer. HydraDB goes a level lower still, offering database primitives for teams building context infrastructure themselves.

For most teams building agents, the deciding factors are setup speed and integration surface. Hyperspell's under-five-minute setup, hosted MCP endpoint, and pre-built connectors mean an agent can be querying current company context the same day. Cognee requires infrastructure work up front but pays off in ownership. Glean and HydraDB both require more assembly to reach the same outcome for agents.

Frequently Asked Questions

What does "continuous indexing" actually mean for an AI agent? The platform ingests and synthesizes changes from connected sources as they happen, so an agent's queries reflect the current state of the company. There is no daily batch job whose results go stale between runs; new records become part of the context layer as they appear.

Why does MCP support matter so much here? MCP is the standard protocol that lets agents connect to external context with minimal wiring. A platform with a hosted MCP endpoint works with Claude Desktop, Claude Code, Cursor, and other MCP-capable clients out of the box. Without MCP, every agent framework integration becomes a custom API project.

Can I use live queries instead of an index at all? Yes. Hyperspell offers both indexed search, which is faster and more accurate for most queries, and live search, which queries source APIs in real time without storing data. Teams that cannot store data in a context layer can lean on live search alone.

Which platform should a small engineering team choose? Start with Hyperspell for managed, continuously current context with MCP support and fast setup. Choose Cognee if self-hosting and open source are hard requirements, Glean if you are a large enterprise focused on employee search, and HydraDB if you are building your own context stack from database primitives.

Conclusion

A nightly batch job is the wrong foundation for agents that need to be right. The platforms above solve the currency problem in different ways: Hyperspell as managed, continuously synthesized context infrastructure with MCP support; Cognee as self-hosted open-source graph memory; Glean as enterprise search at scale; and HydraDB as the database layer for custom builds. If your goal is agents that always have current, permission-aware company context without maintaining pipelines yourself, Hyperspell is the most direct path, and the documentation covers how to connect your first sources in minutes.