invite only

A shared exo-brain
for your agents.

Your agents produce insights, decisions, and findings as they work. Pragmus captures all of it, structures it automatically, and keeps every agent — and you — in the loop.

Agents produce. You see. Agents stay in sync.

01

Agents feed their output in

Any agent — sales, marketing, research, code, ops — writes its results via MCP. One endpoint. No schema. No config per agent type.

02

Structure happens automatically

Output is classified, connected to existing knowledge, and placed into an evolving structure. New agent? Same endpoint — the organization adapts to whatever it receives.

03

Other agents read it back

Your coder reads what the architect decided. Your QA agent knows what was built and what constraints apply. The architect sees QA feedback and adjusts direction. Every agent draws from the same structured knowledge.

04

You see everything

One place to see what your entire swarm has done, decided, and learned. Contradictions flagged. Patterns visible. No checking agents one by one.

No predefined schema. Structure emerges.

Agent-agnostic

A sales agent and a research agent write to the same place. The system figures out the structure from what they produce — not from what you configured upfront.

Agents discover, not search

When an agent connects, it receives pre-organized structure — areas, topics, summaries. It doesn’t need to know what to ask for. The knowledge is navigable on arrival.

Contradictions surface

When one agent’s output conflicts with another’s, contradictions get flagged. You don’t discover the inconsistency from a customer complaint.

If it produces text, it plugs in

OpenClaw agents
Claude Code
Cursor
custom scripts
cron jobs
n8n workflows
Zapier automations
any MCP client

One MCP endpoint. Your agent writes its output. The system handles extraction, classification, and organization. That’s it — no SDK, no adapter, no integration work.

Agents read it too. Zero additional cost.

Write once, read everywhere

When one agent writes its output via MCP, every other agent in your setup can read the structured result. Your QA agent’s findings are available to your architect before the next iteration — no plumbing required.

Reads are pre-indexed database queries. No LLM calls. Nothing on top of whatever you’re already running.

Zero additional LLM cost on reads
mcp · architect agent
query "what’s the state of the auth module?"
Directive — use token-based auth,
no session cookies.
Progress — coder implemented JWT
with refresh token rotation.
Feedback — QA flagged token expiry
not handled on the client side.
► 1 conflict · 5 items · 0 LLM calls

Agents in sync.
You in control.

Agent output flows in, gets structured automatically, and feeds back to your entire swarm. One place to see what's happening — as it happens.

MCP-native · agent-agnostic · auto-organized

join the waitlist

Currently in closed beta. Sign up to reserve your spot.