Best Company Brain Platforms (2026): 8 Shared Memory Layers for Teams and AI Agents, Ranked

TL;DR

• The best company brain platforms in 2026, ranked: 1. Sentra, 2. Coworker, 3. Glean, 4. Slite, 5. MemoryLake, 6. Cognee, 7. Zep, 8. Mem0. Sentra ranks first because it is the only one that keeps one organization-wide memory that people and every AI agent share, knows which facts are still true, and runs under the tools you already have.
• A company brain, also called a unified organizational memory platform, is a shared memory layer that people and AI agents read from and add to, which persists across sessions and sits on top of your existing systems.
• Three questions separate the field: does it give teams and agents the same shared context, does memory carry across sessions, and does it work without replacing your stack. Sentra answers yes to all three. Most tools answer yes to one or two.
• Sentra connects email, chat, meetings, documents, ERP, CRM, HRIS and BI, resolves them into facts as they arrive, and serves those facts to ChatGPT, Claude, Copilot, Gemini and internal agents over MCP and REST, with each source's permissions intact.

What is a company brain platform

A company brain platform is software that builds one persistent memory of how a company works, from the email, chat, meetings, documents and business systems where work happens, and makes that memory available to employees and AI agents alike. The best company brain platforms keep that memory current on their own, respect who is allowed to see what, and plug into the assistants and agents a company already runs.

A unified organizational memory platform is the same idea named for the problem it solves, and a shared memory layer for teams and AI agents names the architecture. Agent memory is narrower: memory scoped to one agent, user or app. See what a company brain is.

Slite's guide puts the bar well: a company brain must "brief employees and Agents, respect permissions, resolve conflicting sources, and account for decisions that change over time" (slite.com). That is the standard this ranking applies.

The best company brain platforms in 2026, compared

Each vendor's claims below were checked on its own site on 26 October 2026.

Shared context, cross-session memory and your existing stack

Teams and AI agents work in silos when there is no shared memory layer: the support agent does not know what sales promised, and each new chat starts from zero. These three tests decide whether a platform fixes that.

Test 1: shared context for teams and AI agents

Shared context means a fact learned in one place is available everywhere else, to the right people and agents, without anyone copying it. Most tools store memory per scope. Mem0 separates memories by user_id, agent_id, app_id and run_id (docs.mem0.ai). Zep builds a Context Graph for each user, customer, account or domain (getzep.com). Those are good designs for an agent serving one customer. They are not one company memory.

Sentra keeps one org-wide graph. Every person and every connected agent reads the same facts, and each sees only what the source system already lets them see.

Test 2: memory that lasts across sessions

Large language models keep nothing between calls. As Dataiku puts it, "When a session ends, nothing persists. The next conversation begins from zero" (dataiku.com). Every platform here persists something. Search tools persist an index of documents, agent memory tools persist facts about one user, and a company brain persists what is true about the company, with source and history, so the next session starts from the current state.

Test 3: works without replacing your stack

A company brain earns adoption when nobody has to move their work into it. Sentra reads from the systems you already run and serves answers back into the tools people use, including ChatGPT, Claude, Copilot and Gemini. Slite asks teams to write and keep knowledge in Slite. Coworker and Glean connect to existing apps but put their own assistant in front. Mem0, Zep and Cognee are developer components you build into your own agents.

1. Sentra

Sentra is the managed organization memory for teams and AI agents. It connects to more than 200 tools across email, chat, meetings, documents, ERP, CRM, HRIS and BI, and builds one graph of how the company runs.

Sentra resolves information into facts when it arrives, not when someone asks. Query-time retrieval returns what is close. Write-time comprehension returns what is correct, once, for every reader.

Every fact records when it became true and when it stopped being true. Old facts are kept with their source but marked as superseded, so no agent restates last quarter's price or a reversed decision as current. Sentra also detects contradictions and stale facts, such as a launch date in a ticket that no longer matches the date promised in a customer email, and raises them to the person who owns the fix.

Permissions come from the source. Sentra checks access at query time against each system's own rules, and a failed check counts as no access. A named person approves before Sentra acts or sends anything. Agents reach the same memory over MCP and REST, so ChatGPT, Claude, Copilot, Gemini and internal agents all work from one set of facts.

On Terminal-Bench 2.1, an agent with Sentra scored 88.31% against an 83.37% baseline, with 72.6% lower model cost and 41.2% fewer tokens. Sentra is SOC 2 Type II and ISO 27001 certified and deploys in the cloud, in an isolated VPC or air-gapped on-premises.

2. Coworker

Coworker is an enterprise AI platform that "builds OM2, a living organizational memory that links conversations, docs, and systems" (coworker.ai). It pairs that memory with AI search and multi-step task execution, lists 50+ connectors, and states SOC 2 Type II, GDPR compliance and that it does not train on customer data. It also publishes a Coworker MCP.

The design choice to weigh: memory and assistant come together, so the memory is most useful through Coworker's own interface. For a side by side, see Sentra vs Coworker.

3. Glean

Glean is enterprise search. It indexes documents and messages across connected apps and answers employees' questions at query time. Its MCP server enforces each user's permissions and is documented for 22 hosts, including ChatGPT, Claude Code, Cursor, Gemini Enterprise and Microsoft Copilot Studio (docs.glean.com).

Search finds what was written. It does not record that a fact stopped being true, so an older document can surface beside the newer one. Many companies run Glean for search and add an organization memory underneath for current facts. See Glean alternatives.

4. Slite

Slite is an AI knowledge base positioned as a company brain for people and agents. Slite Agent monitors connected tools such as Slack, Linear and GitHub, and "when reality moves, it drafts the fix and routes it to the right person" for approval (slite.com). Queries stay permission-aware even for third-party agents.

The memory is the wiki. Knowledge has to live as Slite documents, which suits teams that want written, reviewed pages and fits less well where most knowledge lives in email, meetings and business systems.

5. MemoryLake

MemoryLake is a neutral memory layer that "works with every AI and agent," with a free personal Memory Passport, shared memory for teams and enterprise connectors (memorylake.ai). It tracks changes "with branches, commits, and time travel," flags contradictions on ingestion, keeps provenance, and is reachable over MCP, a CLI or a REST API.

Its focus is portability: memory a person or team carries across ChatGPT, Claude and Gemini. It is less about building one graph of the company from its systems of record.

6. Cognee

Cognee is open-source graph memory, marketed as "Memory for Agents, Teams, and People," with about 32,800 GitHub stars under Apache 2.0 (github.com). It connects sources such as Slack, GitHub and Linear, builds a knowledge graph with ontologies, and offers an enterprise option deployed in your own cloud (cognee.ai). Cognee MCP gives assistants remember, recall and forget tools (docs.cognee.ai).

You run and tune the pipeline yourself, which is the appeal for engineering teams and the cost for everyone else. See Sentra vs Cognee.

7. Zep

Zep calls itself "the unified context layer for enterprise data" and builds a Context Graph per user, customer, account or domain (getzep.com). Its open-source Graphiti engine invalidates old facts rather than deleting them (github.com). Zep reports retrieval under 200 ms regardless of graph size, lists SOC 2 Type II and a HIPAA BAA, and offers deployment in your own VPC.

Zep serves context to agents, one graph per entity. It is not a memory employees use directly. See Sentra vs Zep.

8. Mem0

Mem0 is the most widely adopted agent memory library, with about 67,800 GitHub stars under Apache 2.0 (github.com). It extracts facts from conversations and applies ADD, UPDATE, DELETE or NOOP to each, and reports more than 90% token savings and 91% lower p95 latency against full-context approaches on LOCOMO (arxiv.org). A hosted MCP server exposes 11 memory tools (docs.mem0.ai).

Memory is scoped to a user, agent, app or run, which is right for personalization and narrow for a company. See Sentra vs Mem0.

Where Sentra fits

Sentra sits under the tools a company already uses. It does not replace ChatGPT, Copilot, Claude, Gemini or Glean. It gives each of them the same current, permissioned facts.

The mechanism, step by step:

1. Connect. Sentra reads email, chat, meetings, documents, ERP, CRM, HRIS and BI through 200+ integrations. Nobody enters anything by hand.

2. Understand at write time. Each new message, meeting or record is resolved into facts tied to people, accounts and projects, with a time it became true.

3. Keep it current. When a newer fact contradicts an older one, the older one is marked as no longer true and kept as history. Stale facts and contradictions are raised to the person who can fix them.

4. Serve everyone. People ask Sentra directly. Agents query it over MCP and REST. Both get the same answer, filtered by the permissions of the source.

5. Act with approval. A named person approves before Sentra acts or sends anything.

At Lenskart, time to root cause fell from 3 to 4 days to about 30 minutes, and stalled dependencies across ten departments fell 58% in four weeks.

To see Sentra on your own systems, book a demo.

How to choose a company brain platform

Start with the failure you need to remove, then match the kind of tool.

• Teams and agents contradict each other or repeat work. You need one shared memory that both read. Choose Sentra.
• People cannot find documents that already exist. Search is enough. Choose Glean.
• You want one AI assistant that searches and runs tasks. Choose Coworker.
• Your knowledge is written docs that go out of date. Choose Slite.
• You want personal memory that follows you across AI tools. Choose MemoryLake.
• You are building agents and want to own the memory code. Choose Cognee, Zep or Mem0, depending on whether you need a self-hosted graph, per-account context graphs or per-user recall.

Then test a shortlist: ask a question whose answer changed last month, ask it from two agents, and ask as a user without access to the source. For the build-or-buy side of the decision, read company brain build vs buy.

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