pi-acm
Active Context Management for pi — sliding window context management as a distributable pi extension
Package details
$ pi install npm:pi-acm- Package
pi-acm- Version
0.3.12- Published
- May 18, 2026
- Downloads
- 320/mo · 16/wk
- Author
- rjshrjndrn
- License
- MIT
- Types
- extension, skill
- Size
- 274.1 KB
- Dependencies
- 1 dependency · 4 peers
Pi manifest JSON
{
"extensions": [
"./extensions"
],
"skills": [
"./skills"
]
}Security note
Pi packages can execute code and influence agent behavior. Review the source before installing third-party packages.
README
pi-acm
Active Context Management for pi — sliding window context management as a distributable pi extension.
Keeps long-running sessions coherent by sliding the context window forward instead of chopping history and generating lossy AI summaries. Critical messages survive via inception pinning. Expensive tool outputs get surgically trimmed. The LLM always knows its token position.
Install
pi install npm:pi-acm
Or add to .pi/settings.json:
{
"packages": ["npm:pi-acm"]
}
Quick Start
Once installed, ACM runs automatically. Every turn you'll see a footer status line:
ACM: 187k/200k (93%) | ↑3 ✂12
And the LLM receives a hidden <context-status> tag before each turn.
Common commands
/acm — show full context map
/pin <id> — pin a message as inception
/unpin <id> — remove pin
/prune <id> — hide a message from context
/mark <id> <0-10> — set priority
/hunt — find the biggest token consumers
/diagnose — check session health
Common tool calls (LLM-initiated)
acm_map — context breakdown
acm_hunt — find bloat
acm_pin({ id: "a1b2c3d4" }) — pin a message
acm_prune({ id: ["a1b2c3d4", "e5f6..."] }) — prune multiple
acm_snipe({ id: "a1b2", strategy: "truncate", max_chars: 200 })
acm_compact({ dry_run: true }) — preview sliding window
acm_compact({ keep_active_minutes: 30 }) — commit
acm_diagnose() — health check
How It Works
ACM is a pure pi extension — no pi-mono core modifications. It uses:
contextevent — filters messages before each LLM call (prune, snipe, pin prepend, window boundary)session_before_compact— intercepts compaction and applies sliding window instead of AI summarybefore_agent_start— injects the<context-status>whisper and ACM system prompt reminderturn_start/end— tracks active working time for chess-clock compactionpi.appendEntry()— persists all ACM metadata as sidecar JSONL entries (session file untouched)
Architecture
extensions/index.ts Entry point
src/
state.ts AcmState type, loadState, saveState
entry-map.ts entry ID ↔ context message mapping
context-filter.ts context event handler (pipeline)
snipe-apply.ts snipe strategy implementations
token-counter.ts gpt-tokenizer estimates
chess-clock.ts active time tracking
compaction.ts session_before_compact handler
whisper.ts before_agent_start handler
id-resolver.ts partial ID prefix matching
tools/
observe.ts acm_map, acm_hunt, acm_diagnose
control.ts acm_pin, acm_unpin, acm_prune, acm_mark
snipe.ts acm_snipe
compact.ts acm_compact
ui/
commands.ts user-facing slash commands
status.ts footer status widget
skills/acm/SKILL.md LLM instructions
tests/ vitest unit tests
Configuration
Default config in .pi/settings.json or ~/.pi/agent/settings.json:
{
"acm": {
"autoCompactOnPercent": 85,
"keepActiveMinutes": 30
}
}
(Config is stored in ACM sidecar entries — see src/state.ts for the full AcmConfig shape.)
What Gets Preserved
- Session JSONL is never modified — all changes are in-memory (applied at
contextevent time) - Pinned messages survive everything — they prepend context regardless of window boundary
- Pruned/sniped content is always accessible via pi's session viewer or the raw
.jsonlfile
License
MIT