Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/Pseudogiant-xr/Pseudolife-MCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/pseudogiant-xr/pseudolife-mcp/memory-status)<a href="https://agentmods.dev/commands/pseudogiant-xr/pseudolife-mcp/memory-status"><img src="https://agentmods.dev/badge/commands/pseudogiant-xr/pseudolife-mcp/memory-status/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/pseudogiant-xr/pseudolife-mcp/memory-status"><img src="https://agentmods.dev/badge/commands/pseudogiant-xr/pseudolife-mcp/memory-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00014 | $0.00735 |
| Opus 5.5 | $0.00006 | $0.00294 |
| Sonnet 5.5 | $0.00003 | $0.00147 |
| Haiku 4.5 | $0.00001 | $0.00073 |
Grade A, and why
memory-status scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Fetch `http://127.0.0.1:8765/health` (curl or WebFetch). If it fails, What it actually says
Report the state of the Pseudolife memory stack:
memory_stats needs the core tool tier and memory_dream the full one:
if your client does not list them, call memory_toolset(action="expand")
(one tier per call) until it reports current: "full", then rediscover
tools.
- Fetch
http://127.0.0.1:8765/health(curl or WebFetch). If it fails, report that the daemon is down and how to start it:docker compose -f <clone>/ops/docker-compose.yml up -d(install guide: https://github.com/Pseudogiant-xr/Pseudolife-MCP#quickstart). - Call
memory_stats()and summarize:total_memories, store occupancy as a capacity meter (bands[0].size/capacityunder the default flat preset — multi-band presets get a per-band table instead), thepreset, and capacity pressure. A non-nullcapacity_warningmeans the store is within 20% of the point where every new memory permanently deletes an old one: lead the report with itsmessage.true_drops_totalcounts those deletions all-time (last_true_dropnames the most recent;true_dropscounts only since the daemon started) — flag any non-zero. Then the reference bank (reference_bank_size/reference_document_count), andcommunities. Flagweights_reset: trueif present — it means the store's counters restarted fresh. Ifread_auditis present, note itsentries.never_read_pctas a coverage signal — the old-and-unread tail, not the young entries that are expected to be unread yet. - Call
memory_dream(action="status")for consolidation state:backlog,idle_seconds,would_fire, and any pending outcome inference.backlogis what is still pending;dream_cursoris display metadata only and does not mark what has been consolidated. Fact/lesson counts and dream timing live here and in the Console, not inmemory_stats(). - If
/healthreportsdegraded(or any componenterror), surface the failing component verbatim — do not summarize it away. The same goes for adream_tracking_errorfield:statusstaysok, but the dream cannot pull or commit until it clears, andmemory_dream(action="status")carries the detail. - Report the backup from
/health'slast_backup: itsage_hours, and flag it when older than 36 hours (backups have stopped) or whenrotationisheld(entries, facts or lessons fell sharply, so the backup script kept every older copy — check for a wipe before anyone re-runs it with-AcceptRowDrop). If the key is absent, no backup has been recorded for this daemon: on the Docker tier, suggestops/backup.ps1and the dailyops/install-backup-task.ps1. - Mention the Cortex Console for browsing: http://127.0.0.1:8765/ui/
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 22d ago Changed · +5 lines 6cf794157308
- 25d ago Changed · +4 lines 0a45e4d52f23
- 1mo ago Changed · +11 lines 038e5cf9fe9a
- 1mo ago Changed · +2 lines ce6cd9c929d3
- 1mo ago First seen · 25 lines · 14 tokens per session scan A a77ff80ca320
memory-status is a command published in the GitHub repository Pseudogiant-xr/Pseudolife-MCP (6 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 735 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
arreflect
AgentRecall consolidation & reflection — periodic triage of recurring corrections; proposes rule changes, never applies them without the owner.
arrecall
AgentRecall on-demand recall — surface past fixes, decisions, and patterns mid-session without leaving your flow.
arsave
AgentRecall full save — journal + palace + awareness + insights in one shot.
artel-recall
Search Artel shared memory for what the fleet already knows.
artel-remember
Write a fact, decision, or gotcha to Artel shared memory.
arstart
AgentRecall session opener — status board (no args), project loader ( ), or cold-start bootstrap. Use first every session.