Chrollo

A retrieval layer for Pi's native session history. Search past conversations, read matched windows. No storage, no capture, no injection.

Why

Pi records every session to disk as .jsonl. Nothing in Pi lets you search across that history when you're back in a conversation. Chrollo fills that one gap: find what you worked on before, when you ask for it.

It does not capture, summarize, store, or inject anything. Pi is the source of truth; Chrollo only reads it.

Quick Start

Requires ripgrep on your PATH.

sudo apt install ripgrep      # Linux
brew install ripgrep          # macOS

pi install npm:@k3_2o/pi-chrollo

Then in any Pi session, ask about something from a past conversation — the agent searches your history and reads back the relevant turns.

How It Works

Two tools, one workflow:

1. search_memory — search past sessions by keyword. Returns markers like path:line | role: preview, ranked by relevance and recency.
2. read_memory — read a bounded window around a marker, rendered readably ([HH:MM] role: text).

The agent calls search_memory when you reference past work, picks a marker, then calls read_memory with that marker's line number to see the surrounding context.

you:    "what did we decide about the k3s ingress?"
agent:  search_memory("k3s ingress")  → 15 markers
        read_memory(path, offset=77, limit=10)  → readable window

What It Does and Doesn't Do

Searches	All of Pi's session history, by keyword
Stores	Nothing. Reads Pi's existing .jsonl files
Captures	Nothing. Pi already captures every turn
Injects	Nothing. You decide when to recall
Calls an LLM	Never
Needs a daemon	No. One binary (ripgrep) + native Node

Tool outputs and internal reasoning are filtered out automatically — only real conversation turns appear in results and reads.

Ranking

Results are ranked by:

• Term match — how many of your search words appear, with saturation (5 hits isn't 5× better than 1)
• Length — a match in a short line ranks above one in a long line
• Recency — 30-day half-life; recent work surfaces above old
• Same project — lines from the current working directory get a mild boost

Rare terms are not weighted above common ones. You already chose the words by typing them; the tool trusts that choice rather than scanning the whole corpus to second-guess it. If a search misses, search again with different words.

License

MIT — see LICENSE.