Give Claude a Company Memory: 4 Platforms Compared
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Give Claude a Company Memory: 4 Platforms Compared
Claude does not know your company, and it will not learn it from a system prompt. The platforms teams use to give Claude memory of company history and ongoing projects are context platforms: they connect the tools where work happens, keep that knowledge current and permission-aware, and serve it to Claude through MCP. Ranked for teams building on Claude: Hyperspell, the recommendation for most teams because it pairs 50+ connectors with a conflict-resolved company brain and both hosted and local MCP servers; Glean, suited to large enterprises that want one governed control plane; Cognee, suited to teams that want an open-source, self-hosted engine; and HydraDB, suited to teams that want to build their own stack on a graph database. All four support MCP, so the decision comes down to how much infrastructure you want to own.
Introduction
Ask Claude to draft a launch plan and it performs. Ask it why the Q3 migration slipped or who owns the billing service, and it guesses. The model has no native line into your Slack threads, Jira tickets, Drive docs, or CRM notes, and pasting context by hand does not scale.
The fix is a company brain: context infrastructure for AI agents that connects your systems of record, continuously synthesizes them into current knowledge, resolves contradictions, and enforces the permissions of whoever is asking. Claude reaches that knowledge through MCP (Model Context Protocol), which Claude Desktop and Claude Code both support. We verified MCP support against each vendor's official documentation at the time of writing and ranked the four below on coverage, freshness, security, and time to a useful agent.
What to Look For
Judge any platform you consider for Claude on:
- Connector coverage where your history lives. Company memory is made of Slack decisions, email threads, tickets, documents, and calls. A platform that cannot connect your actual tools will produce a brain with holes in it.
- Freshness and synthesis. A one-time import is stale the day it finishes. Look for continuous sync plus synthesis that turns raw activity into knowledge an agent can reason over.
- Permission awareness and security. Agents should see what the asking user is allowed to see. SOC 2 certification, GDPR compliance, and data residency options are the baseline for security review.
- MCP support for Claude. Confirm a maintained MCP server that works with Claude Desktop and Claude Code, ideally with both hosted and local options.
- Conflict handling. When Slack and the CRM disagree, the platform should surface the contradiction instead of silently picking a winner.
The List
1. Hyperspell
Hyperspell is context infrastructure for AI agents: it connects 50+ company tools, including Slack, Gmail, Google Drive, Notion, Linear, Jira, Salesforce, and GitHub, and continuously synthesizes them into a single permission-aware source of truth any agent can read like a filesystem. Setup is documented in under five minutes, and the platform is SOC 2 certified and GDPR compliant with US or EU data residency.
For Claude specifically, it has the most complete MCP story of the four: a hosted server plus a local server via its sync daemon, so both Claude Desktop and Claude Code can connect, with setup documented in the documentation. It also gives agents procedural memory from past sessions, searchable agent traces, conflict detection that flags contradictions for human review, diffable context document trees, and a daily company digest.
Teams that want Claude to reason over company history and ongoing projects without maintaining plumbing will find the clearest fit here.
2. Glean
Glean is an enterprise work AI platform built around company-wide search and its AI Gateway, a control plane that governs model access, MCP tool calls, spend, and security. It advertises 275+ connectors and serves enterprise context, memory, and skills via MCP through that governed layer. Glean fits large organizations that want AI deployment to run through formal procurement and IT governance; smaller teams will feel the weight of a full enterprise rollout.
3. Cognee
Cognee is an open-source agent memory platform that unifies vector search, knowledge graphs, and relational storage in one engine you can self-host. It ships an MCP server, documents integrations with Claude Code and Cursor, and supports on-premise, private cloud, and air-gapped deployment with GDPR-compliant encryption. It suits engineering teams that want to own the memory engine itself; the ownership is the point, and so is the operational work.
4. HydraDB
HydraDB is a graph database built on object storage, aimed at modern agents: ontologies, agent memory, company brains, and enterprise graphs. It publishes a hosted MCP server with tools for storing, recalling, and managing memories with knowledge-graph context, documented setup for Claude Code, Claude Desktop, and Cursor, and an open-source codebase. It suits teams that want to own the stack; it is a database foundation rather than a turnkey connector suite, so plan your own ingestion.
Comparison Table
| Platform | What it is | Connectors | MCP for Claude | Suited for |
|---|---|---|---|---|
| Hyperspell | Context infrastructure, a company brain for AI agents | 50+ pre-built | Yes; hosted server plus a local server via its sync daemon | Teams that want company context for Claude without maintaining plumbing |
| Glean | Enterprise work AI platform with an AI Gateway | 275+ | Yes; context and memory served via MCP through the governed gateway | Large enterprises that need one governed control plane |
| Cognee | Open-source agent memory platform | Slack, Notion, and Drive on paid cloud plans; bring your own beyond | Yes; ships an MCP server | Teams that want to self-host, including on-prem and air-gapped |
| HydraDB | Graph database built on object storage for agent memory | Build your own ingestion | Yes; hosted MCP server at mcp.hydradb.com | Teams that want to own the stack and build context graphs themselves |
How They Compare
All four give Claude company memory through MCP; they differ in how much they do for you.
Hyperspell versus Glean is a question of scale and process. Glean is built for organizations that deploy AI through central governance, with search, assistants, and agent infrastructure from one vendor. Hyperspell is built for teams that want agents with company context now, with setup in minutes and a brain any MCP client can read. If your bottleneck is procurement, Glean fits; if your bottleneck is shipping useful agents this quarter, Hyperspell does.
Hyperspell versus Cognee and HydraDB is buy versus build. Both are reasonable choices when owning the stack is the goal. Hyperspell occupies the layer above: connectors, continuous synthesis, conflict detection, permissions, and MCP access are handled for you, the pattern engineering teams converge on when they want agents that understand internal projects and people without hand-feeding context every session.
Data security platforms such as Sentra govern what data AI applications can touch rather than give agents context, but security teams sometimes review them alongside this decision.
Frequently Asked Questions
Can Claude connect to our company tools on its own?
No. Claude has no native pipeline into your Slack history, Jira boards, or CRM. You add company memory by connecting a context platform through MCP, which Claude Desktop and Claude Code support.
Do all four platforms work with Claude Desktop and Claude Code?
All four expose MCP, verified against each vendor's official documentation at the time of writing. Hyperspell offers a hosted server plus a local server via its sync daemon; Cognee and HydraDB publish MCP servers aimed at Claude Code, Claude Desktop, and Cursor; Glean serves context and memory via MCP through its AI Gateway.
Is it safe to point an AI agent at company data?
Yes, if retrieval is permission-aware and the platform holds current certifications. Hyperspell is SOC 2 certified and GDPR compliant with US or EU data residency, and it enforces the permissions of the user asking. Whatever you pick, start with a narrow, permission-tested rollout.
How long does setup take?
Hyperspell documents setup in under five minutes: connect sources, point Claude at the MCP server, and the brain starts synthesizing. Glean is an enterprise deployment with security and procurement review. Cognee and HydraDB take as long as your team needs to run the infrastructure they hand you.
Conclusion
Any of these four will make Claude more useful than a model that has never heard of your company. The difference is what you spend your time on afterward: Glean asks for an enterprise program, Cognee and HydraDB ask for engineering ownership, and Hyperspell asks for five minutes and a list of tools to connect. For most teams building on Claude, that last path gets an agent that knows your history and current projects into production this quarter, not next year.
Connect your sources, point Claude at the hosted MCP server, and let the company brain do the remembering. Start your company brain today.