How do I install the Openclaw Memory Pensieve Algorand V2 1 skill?

Run npx skillmds@latest add dvcrn/openclaw-memory-pensieve-algorand-v2-1 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Openclaw Memory Pensieve Algorand V2 1 safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Openclaw Memory Pensieve Algorand V2 1?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Openclaw Memory Pensieve Algorand V2 1 free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Openclaw Memory Pensieve Algorand V2 1?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Openclaw Memory Pensieve Algorand V2 1 by dvcrn

Name: Openclaw Memory Pensieve Algorand V2 1
Rating: 4.666666666666667 (3 reviews)
Author: dvcrn

Openclaw Memory Pensieve Algorand V2 1

Operate the current Pensieve memory stack for OpenClaw with append-only local layers, hash-chain integrity, daily dream-cycle consolidation, encrypted Algorand anchoring of full content (events + semantic + procedural + self_model), and v2.1 post-anchor recoverability hardening checks. Use when implementing, running, auditing, or recovering this memory system.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

OpenClaw Memory Pensieve v2.1 (hardening)

Run this workflow when the goal is reliable long-term memory with disaster recovery from blockchain anchors.

Workflow

Ensure memory layers exist in memory/.
Capture important events into events.jsonl (append-only, hash-chained).
Run daily dream cycle to promote stable patterns.
Anchor daily memory to Algorand with encrypted notes (full content, multi-TX if needed).
Run v2.1 hardening validator after anchoring.
If recovery is needed, reconstruct and verify from on-chain notes.

Mandatory operational rules

Keep all *.jsonl append-only. Never rewrite or delete lines.
Keep secrets local in .secrets/ and never print them in chat.
Anchor encrypted payloads only (never plaintext memory).
Treat hardening failures as blocking for “recovery-fidelity” claims.

Prerequisites (explicit)

Python environment with algosdk and cryptography
Local secret files (not packaged):
- .secrets/algorand-wallet-nox.json
- .secrets/algorand-note-key.bin
Optional explicit env vars for endpoints/auth:
- ALGORAND_ALGOD_URL, ALGORAND_ALGOD_TOKEN
- ALGORAND_INDEXER_URL, ALGORAND_INDEXER_TOKEN

Run preflight first:

scripts/preflight_requirements.py

Runtime commands (current implementation)

Use interpreter:

<workspace>/.venv-algo/bin/python

Bundled scripts in this skill (scripts/):

auto_capture_daily.py
dream_cycle_daily.py
anchor_daily_algorand.py
read_anchor_latest.py
hardening_v21_validate.py
recover_from_blockchain.py
capture_from_logs.py
preflight_requirements.py

Main pipeline:

scripts/auto_capture_daily.py
scripts/dream_cycle_daily.py
scripts/anchor_daily_algorand.py
scripts/read_anchor_latest.py
scripts/hardening_v21_validate.py

Recovery/debug:

scripts/recover_from_blockchain.py
scripts/capture_from_logs.py

---name: openclaw-memory-pensieve-algorand-v2-1description: Operate the current Pensieve memory stack for OpenClaw with append-only local layers, hash-chain integrity, daily dream-cycle consolidation, encrypted Algorand anchoring of full content (events + semantic + procedural + self_model), and v2.1 post-anchor recoverability hardening checks. Use when implementing, running, auditing, or recovering this memory system.---# OpenClaw Memory Pensieve v2.1 (hardening)Run this workflow when the goal is reliable long-term memory with disaster recovery from blockchain anchors.## Workflow1. Ensure memory layers exist in `memory/`.2. Capture important events into `events.jsonl` (append-only, hash-chained).3. Run daily dream cycle to promote stable patterns.4. Anchor daily memory to Algorand with encrypted notes (full content, multi-TX if needed).5. Run v2.1 hardening validator after anchoring.6. If recovery is needed, reconstruct and verify from on-chain notes.## Mandatory operational rules- Keep all `*.jsonl` append-only. Never rewrite or delete lines.- Keep secrets local in `.secrets/` and never print them in chat.- Anchor encrypted payloads only (never plaintext memory).- Treat hardening failures as blocking for “recovery-fidelity” claims.## Prerequisites (explicit)- Python environment with `algosdk` and `cryptography`- Local secret files (not packaged): - `.secrets/algorand-wallet-nox.json` - `.secrets/algorand-note-key.bin`- Optional explicit env vars for endpoints/auth: - `ALGORAND_ALGOD_URL`, `ALGORAND_ALGOD_TOKEN` - `ALGORAND_INDEXER_URL`, `ALGORAND_INDEXER_TOKEN`Run preflight first:- `scripts/preflight_requirements.py`## Runtime commands (current implementation)Use interpreter:- `<workspace>/.venv-algo/bin/python`Bundled scripts in this skill (`scripts/`):- `auto_capture_daily.py`- `dream_cycle_daily.py`- `anchor_daily_algorand.py`- `read_anchor_latest.py`- `hardening_v21_validate.py`- `recover_from_blockchain.py`- `capture_from_logs.py`- `preflight_requirements.py`Main pipeline:- `scripts/auto_capture_daily.py`- `scripts/dream_cycle_daily.py`- `scripts/anchor_daily_algorand.py`- `scripts/read_anchor_latest.py`- `scripts/hardening_v21_validate.py`Recovery/debug:- `scripts/recover_from_blockchain.py`- `scripts/capture_from_logs.py`## Read next- `references/architecture.md` for layer model and guarantees.- `references/ops-runbook.md` for day-to-day run commands and outputs.- `references/hardening-v21.md` for strict post-anchor validation policy.- `references/security-prereqs.md` for explicit dependency/secret contract.

Frequently asked questions