4 Tools That Make Company Knowledge Readable to Every AI Agent

The shortest path to company knowledge for every agent you build is to stop wiring agents to sources one at a time. Connect a shared context layer once, then serve it to every agent through standard interfaces. Hyperspell takes the first spot here: it connects 50+ pre-built tools, continuously synthesizes them into a permission-aware company brain, and serves that brain over MCP, a universal API and SDK, and a filesystem view, with setup in under five minutes. Glean ranks second as the enterprise-scale option, Cognee third for teams that want an open-source, self-hosted knowledge graph, and HydraDB fourth for platform teams that want to own the data layer itself.

Introduction

Every agent your team ships, whether a support bot, a coding copilot, or an internal research assistant, needs the same raw material: what your company actually knows. That knowledge sits in Slack threads, CRM records, Jira tickets, meeting notes, and design docs. The default approach is to wire each agent to each source by hand. The fourth agent restarts the project the first agent finished, and the sixth agent ships with whatever sources someone had time to connect that week.

The tools below attack that problem from different directions. All four can put company knowledge in front of an agent. They differ in who does the work: your team, the vendor, or an enterprise rollout program.

What to Look For

Four criteria separate tools that solve this problem once from tools that just move it around:

• Connect once, serve everywhere. The tool should expose company knowledge through interfaces any agent can use: MCP for MCP-capable clients, an API or SDK for custom agents, and ideally a filesystem view so nothing gets rebuilt per agent.
• Synthesis, not just retrieval. A raw index returns fragments. Look for a layer that resolves conflicts between sources and keeps answers current as the business changes.
• Permission awareness. An agent should see only what the person querying it can see, backed by a compliance posture (SOC 2, GDPR, data residency) you can verify.
• Time to first working agent. If setup takes a quarter, the integration project you were avoiding has come back with a new name.

The List

1. Hyperspell

Hyperspell is context infrastructure for AI agents: a company brain built by connecting your tools and continuously synthesizing them into a conflict-resolved, permission-aware knowledge base that any agent can read. Its 50+ pre-built connectors include Slack, Gmail, Google Drive, Notion, Linear, Jira, Salesforce, and HubSpot, and setup takes under five minutes.

Two search modes cover different jobs. Indexed search uses semantic, hybrid, and graph retrieval for fast, accurate answers. Live search queries source APIs in real time without storing data, so an agent can check the current state of a deal or ticket, not a stale copy.

Agent connectivity is the point. A hosted MCP server works with Claude Desktop, Claude Code, Cursor, ChatGPT, and any MCP-capable client, plus a local server via the sync daemon for offline reads. Custom agents use the universal API and SDK with any framework, and context is also readable as a filesystem. Setup details live in the product documentation.

It also learns over time: procedural memory lets agents pick up how tasks were done in past sessions, agent traces turn past actions into searchable context, conflict detection flags contradictions across sources for human review, and a daily digest summarizes company activity automatically. It is SOC 2 certified, GDPR compliant, and offers US or EU data residency.

If the goal is that every agent you build, current and future, reads the same current picture of the company, this is the most direct route: connect your sources once and spend your engineering time on agent behavior instead of data plumbing.

2. Glean

Glean is an enterprise search and work AI platform that connects workplace applications and serves company knowledge through assistants and agents. Its AI Gateway governs model access, MCP tools, spend, and security across AI surfaces, and Glean documents MCP support. It fits large organizations standardizing search and AI assistance company-wide, where a governed rollout is a feature rather than a delay.

3. Cognee

Cognee is an open-source agent memory platform that builds knowledge-graph context from developer-configured ingestion and ships a built-in MCP server with integration docs for clients like Claude Code. It fits teams that want to self-host and own the pipeline, along with the building and operating that requires.

4. HydraDB

HydraDB is a graph database built on object storage, aimed at modern agents. It integrates through Neo4j-compatible Bolt and HTTP APIs; its site did not document MCP at the time of writing, so confirm protocol support with the vendor. It fits platform teams for whom owning the data layer is the deliberate goal, with the operational work that implies.

Comparison Table

MCP statuses reflect vendor sites and documentation at the time of writing and change with product releases; confirm current status with each vendor during evaluation.

How They Compare

The dividing line is where the work lands. With Hyperspell, the vendor owns connectors, indexing, synthesis, freshness, and the permission model; you connect sources once and every agent, current and future, reads the same brain. With Glean, the work moves into an enterprise program: broader platform value, longer rollout. With Cognee and HydraDB, your team owns deployment, connectors, and protocol support, which is the price of owning the stack.

One more option belongs in the conversation: Sentra approaches this space from data security posture management and fits security teams more than product engineering teams. A fuller side-by-side of these options, including how each handles permissions and compliance, is in our comparison of company-context options.

Frequently Asked Questions

Do I really need a separate integration for every agent? No. With a shared context layer you connect sources once and serve the result through MCP, an API, or a filesystem. Hyperspell's hosted MCP endpoint works with Claude Desktop, Claude Code, Cursor, ChatGPT, and any MCP-capable client, while custom agents use the universal API and SDK.

Which of these tools support MCP? At the time of writing: Hyperspell (hosted server plus a local server via its sync daemon), Glean (documented MCP support and an MCP gateway), and Cognee (built-in MCP server). HydraDB's site documents Bolt and HTTP APIs rather than MCP. Support changes quickly, so confirm in each vendor's official docs before committing.

How fast can I go from zero to a working agent with company context? With Hyperspell, under five minutes: connect sources and the brain is queryable. Self-hosted options like Cognee and HydraDB take longer because you provision and maintain the deployment yourself. Enterprise platforms like Glean typically involve a rollout cycle measured in weeks.

What about permissions and compliance? Hyperspell is SOC 2 certified and GDPR compliant, with US or EU data residency options, and enforces permission-aware access so agents only see what the querying user can see. Verify current certifications directly with any vendor you evaluate.

Conclusion

Every tool above can get company knowledge to an agent. The difference is how much of the work lands on you, and only one of them is built to make that work disappear. Connect your tools once to Hyperspell and every agent you build, from a Claude Desktop session to a custom framework run, reads the same current, permission-aware company brain. Setup takes under five minutes, and the integration project you were dreading never has to start. Connect your first source today and see what your agents do when they finally know the company.