Agents that stop
repeating themselves.
LeanCTX gives research agents persistent, citable memory: findings land in a knowledge store with provenance, the EvidenceLedger keeps verbatim quotes with sources, and cached re-reads cost ~13 tokens. Your agent collects once, remembers across sessions, and answers with citations instead of re-crawling.
What it costs you today.
Every session starts from zero
Yesterday’s findings are gone. The agent re-reads the same sources, re-derives the same conclusions, and bills you twice.
Answers without receipts
A summary without sources is a liability. Research output needs verbatim quotes with provenance.
Sources drown the window
Twenty open PDFs do not fit in a context window. Agents need ranked recall of what matters, not everything at once.
The capabilities that do the work.
Everything below ships in the open-source binary today. No roadmap items, no waitlists.
From zero to first gain.
One guide. Two journeys. Full reference.
Questions teams ask before adopting.
How does LeanCTX keep research citable?
The EvidenceLedger stores verbatim quotes with their source URL or file. Answers can reference evidence IDs, so every claim traces back to an original you can open.
Does memory survive restarts and new sessions?
Yes. Findings live in a local knowledge store with categories (discovery, decision, blocker…) and are restored into every new session automatically.
Can it handle large corpora?
Collected sources are deduplicated, compressed and indexed with BM25 plus a knowledge graph. Recall returns ranked, budgeted context, never the whole corpus at once.
Take back control of your context.
Free for local use, forever. CI enforces it. One binary, ten minutes to the first measured gain.