Context Base
The shared context layer for your AI agents
Connect every SaaS data source, govern access per agent, and version every change. Your agents read and write through Bash, MCP, or REST — all backed by Git-style version control.
What is it
Context Base, explained in one paragraph
Context Base is the file-based workspace that sits between your data sources (Notion, Slack, Gmail, Postgres, GitHub) and your agents (Claude, Cursor, n8n, custom code). It ingests data into a unified file system, exposes it through Bash, MCP, and REST APIs, scopes permissions per agent, and tracks every read and write with Git-style commits. Think of it as the persistent, multi-tenant file system your AI pipeline never had — built from day one for agents that share, collaborate, and need to roll back.
Capabilities
Six things Context Base does that nothing else does together
One connector, every source
Pre-built connectors for Notion, Slack, Gmail, Google Sheets, Postgres, MongoDB, Linear, Jira, and Airtable. Push arbitrary data via API for anything else.
Per-agent permissions
Each agent gets an Access Point with explicit read/write paths. An untrusted agent reads /shared, your orchestrator owns the whole workspace. Changes apply instantly.
Git-style version control
Every write is a commit with author, timestamp, and diff. Branch before risky operations, merge when done, roll back any file in milliseconds.
Native MCP server
Expose your entire workspace as a Model Context Protocol server. Plug it into Claude, Cursor, or any MCP-compatible client without writing glue code.
Multi-agent collaboration
Multiple agents share the same workspace without overwriting each other. Path isolation prevents conflicts, branches enable safe parallel writes.
Self-hosted or cloud
Deploy with Docker into your own VPC for full data sovereignty, or use our managed cloud. Same API, same MCP server, same Bash interface.
How it works
From zero to multi-agent workspace in four steps
Step 01
Connect your data sources
Authenticate Notion, Slack, Gmail, Postgres, or any of our pre-built connectors. Data is synced into a structured file tree (.json, .md, folders) your agents can read.
Step 02
Define agent identities
Create an Access Point per agent. Choose which paths it can read, which it can write, and which are hidden. Permissions take effect immediately.
Step 03
Give agents access
Pick an interface: Bash for container-based agents, MCP for Claude / Cursor, or REST API for anything else. All three share the same permission model.
Step 04
Track, branch, and roll back
Every write is auto-committed with the agent's identity. Branch before risky changes, query the audit log, or roll back any file with a single API call.
Use Cases
What teams build on Context Base
Long-running research agents
Background agents that crawl, summarize, and cite sources for days. Context Base preserves every output, so a session crash doesn't lose a week of work.
Multi-agent pipelines
Claude does research, GPT drafts, a custom agent runs analytics. They share files in one workspace, each scoped to its own paths, with full audit history.
Enterprise data integration
Plug your internal Slack, Notion, and databases into one queryable file tree. Agents read structured files via Bash and MCP — no custom ETL pipelines.
Production-grade Agentic RAG
Use Context Base as the persistent storage layer for retrieval pipelines. Documents are versioned, permissions are scoped, embeddings refresh automatically.
Integrations
Works with the agents and data sources you already use
Native support for the most common AI agent runtimes and SaaS data sources. More added every week.
Claude Code
MCP
n8n
Notion
Slack
Gmail
Postgres
Linear
Google SheetsFAQ
Common questions
Context Base is a file-based workspace built specifically for AI agents. It ingests SaaS data into a unified file system, lets multiple agents collaborate with per-agent permissions, and tracks every change with Git-style version control. Agents access it through Bash, MCP, or REST API.
Give your agents a real workspace
Free to start. Self-hosted or cloud. Open-source on GitHub.