A library your agents read — and write back to.
Your agents don't just read knowledge — they write it back. Manuscripts are living books your agents maintain as they work: every session's learnings filed, cited, and waiting for the next agent that needs them.
LLM Wiki · Index
- Database connection pooling
- Rate-limiting the public API
- Caching strategy
How it works
Define it
Set topics, criteria, and writing instructions
Agents work
They read and complete your tasks
It grows
New, cited entries are written back automatically
What you get
Auto-updating
After each session the agent writes what it learned back into the book; the next agent picks up where the last one left off.
Structured like a wiki
An index page, per-topic pages, and a changelog keep every entry findable and traceable across sessions.
Instructions-as-data
You set the topic scope, capture criteria, and update rules; agents follow them without touching a prompt.
Cited & reversible
Each entry carries its source and date; the changelog makes every change auditable and rollback-ready.
Every session can compound — or reset
Each agent session starts from zero. Hard-won learnings — which API timeout is wrong, which installer trap costs a day — evaporate when the context closes, and the next agent rediscovers them.
A learning written back to a Manuscript becomes a chapter every agent reads next time. Knowledge accumulates across sessions instead of inside them.