Shared fact repository for AI agents

The ground truth your AI agents work from.

Docs your team and your agents read and write together. When one agent saves a fact, every other agent reads it, with its source and date. Nothing connects to your accounts.

Your first fact in minutes · MCP, API, CLI or dashboard · No account access needed

escalation.incidents1 of 5 facts updated

Incident escalation path

Each fact has its own name, version, source and date

Payments incidents #paymentsUpdated
Escalate to the Platform team in #inc-platform Escalate to the Payments team in #inc-payments Source: Reorg note · by A. Novak · 2026-11-05
Severity levels #severityCurrent
On-call rotation #oncallCurrent
Customer updates #customer_updatesCurrent
Postmortems #postmortemsCurrent
Read by support-agentoncall-agentstatus-agent
The problem

Agents are doing real work on information nobody can verify.

Stale or wrong facts

Agents pull from wikis, threads and old documents. A renewal date that moved last week still looks true, and the agent acts on it.

No trail

When an agent makes a call, no one can see which fact it relied on or where that fact came from.

Agents contradict each other

Each agent keeps its own notes, so they redo work and give different answers to the same question.

Memory nobody can check

Facts buried in prompts or vector stores can't be read, corrected or audited by the team.

What Factbed is

One shared record for your team and every agent.

Docs for people, facts for agents

Your team or its agents write docs like a refund policy or an account brief. Each part is a named fact, from a date to a paragraph, list, table or file, that any agent can ask for by name.

Nothing of yours to connect

You point your agents at Factbed. Factbed never connects to your company's accounts, so there's no access to approve.

Every change is kept and checked

Agent changes can wait for a person or a reviewing agent to confirm. The full history stays, so you can tell what an agent knew and when.

How it works

From a customer issue to a fix, and back.

Each team's agents build on what the other team already found, instead of it staying in one person's chat history.

  1. 1Account manager

    Finds the pattern

    With her agent, she works through customer data and support notes to see which customers report slow service, since when, and what they share.

  2. 2Account manager

    Saves the findings

    Her agent writes them to Factbed as a doc of named facts, each with evidence and a date. Her ticket to the dev team links to the doc.

    → Writes to Factbed
  3. 3Developer

    Starts from what's confirmed

    His agent pulls her findings from Factbed instead of searching again from scratch.

    ← Reads from Factbed
  4. 4Developer

    Adds what the team learns

    As he works, his agent records the root cause, the fix, and the release it ships in.

    → Writes to Factbed
  5. 5Sales

    Updates customers

    Anyone in sales asks their own agent for an update and can tell customers what changed and when, without chasing developers.

    ← Reads from Factbed
Connect your way

Use it from your agents, your code or your browser.

Four ways in, one record. A fact written over MCP is the same fact your API calls, scripts and dashboard read.

Recommended for agents

Paste one URL into Claude, ChatGPT, Cursor or any MCP client and sign in. Your agents get tools to read, write and search facts, and to check what changed.

Best for
Claude, ChatGPT, Claude Code, Cursor and VS Code
Tools your agent gets
get_factset_factsearch_factsfact_history
Set up MCP
mcp.factbed.io/mcpMCP
# Claude or ChatGPT: add a custom connector
https://mcp.factbed.io/mcp

# Claude Code
$ claude mcp add --transport http factbed https://mcp.factbed.io/mcp

# Cursor, VS Code and others: mcp.json
"factbed": { "url": "https://mcp.factbed.io/mcp" }
Who it's for

For teams running more than one agent that need them to agree on the facts.

Built for the engineering or AI lead building the agents. Factbed touches no company accounts, so you can adopt it without a long security review.

Why now: three shifts in 2026
  1. 1Workspace vendors now run autonomous agents on schedules and triggers, so agents act on facts without a human checking each one.
  2. 2Teams are moving from one agent to several, and each keeps its own memory, so they drift apart.
  3. 3Agent memory has become its own category, but it's built for one agent's recall, not a record a team can review.
Why Factbed

Shared, sourced, and editable by people and agents.

AlternativeWhat it does wellWhat it leaves out
Wikis and docs (e.g. Notion)Easy for people to write and readPages agents can't cite: no named parts, sources, dates or review when something changes
Agent memory (Zep, Mem0, Letta)Persistent, searchable memoryBuilt for one agent's recall; hard for people to review and correct
Prompts and config filesSimple to startGo stale silently; no history or ownership
Building it in-houseFull controlMonths of work on a problem that isn't your core product
FactbedDocs people read, made of named facts with a source, date and versionNothing to reconcile: agents cite the exact fact, and changes are reviewed before they spread
What you get

Agents you can trust with real work.

  • Every answer has a source

    Each answer rests on a fact with a source and a date.

  • One version of the truth

    Every agent reads the same record, so they stop contradicting each other.

  • Conflicts land in review

    When agents disagree or a fact is going stale, a person or a reviewing agent settles it before it spreads.

  • Start in minutes

    Sign up, connect your agent over MCP and save your first fact. No integrations or account access to approve.

Fact history · Northwind accountcustomer.northwind#renewal_date
Read by 3 agents
VersionValueSourceDatedStatus
v42027-03-01CRM note · renewals-agent2026-11-02✓ Current
v32027-02-28Contract amendment · M. Chen2026-08-19Retired
v22027-01-31Support thread · support-agent2026-05-04Corrected
v12027-01-31Signed contract · M. Chen2026-01-12Retired
v2 was corrected by M. Chen: support thread misquoted the term. Reason kept in history.

Running two or more agents on shared business facts?

Create a workspace, connect your first agent and load the facts for one workflow.

RenewalsSupportVendor onboarding