Every agent writes its output to Pragmus. Structure emerges automatically. Every agent that follows reads from it.
how it works
Any agent writes its results via MCP. One endpoint. No schema. No config per agent type.
Output is classified, connected to existing knowledge, and organized. No predefined structure required — the record shapes itself from what agents produce.
Your coder reads what the architect decided. Your QA agent knows what was built. Each agent draws from the same structured record — without you in the middle.
One place to see what your agents produced, decided, and flagged. Contradictions surfaced. No checking agents one by one.
why it works for any agent
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.
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.
When one agent’s output conflicts with another’s, contradictions get flagged. You don’t discover the inconsistency from a customer complaint.
works with anything
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.
reads are free
When one agent writes its output via MCP, every other agent reads the structured result — not the raw session history. No more feeding agents the full chat log. They read the structure. Save tokens.
Reads are pre-indexed database queries. No LLM calls. Nothing on top of whatever you’re already running.
Add one MCP tool. Your agents start writing what they know. See what accumulates. No schema. No config. No integration work.
Works with any MCP-compatible client
No schema. No config. Free to start.
MCP-native · self-organizing · zero read cost
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