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pensieve-algorand

High-performance hybrid memory for OpenClaw with strict append-only capture, budgeted daily dream cycles, and optional Algorand anchoring through encrypted n...

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High-performance hybrid memory for OpenClaw with strict append-only capture, budgeted daily dream cycles, and optional Algorand anchoring through encrypted n...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: server.py, SKILL.md, requirements.txt, references/architecture.md, references/hardening-v21.md, references/ops-runbook.md

Validation

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Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 3.0.0

Provenance

Publisher: pitertxus
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

MCP server

All functionality is in one file: server.py. Register it in Claude Code settings: { "mcpServers": { "pensieve": { "command": "python3", "args": ["/path/to/server.py"], "env": { "OPENCLAW_WORKSPACE": "/path/to/workspace", "ALGORAND_WALLET_ADDRESS": "<address>", "ALGORAND_WALLET_MNEMONIC": "<25-word mnemonic>", "ALGORAND_NOTE_KEY_HEX": "<64 hex chars = 32 bytes>", "ALGORAND_ALGOD_URL": "https://mainnet-api.algonode.cloud", "ALGORAND_INDEXER_URL": "https://mainnet-idx.algonode.cloud" } } } } Install dependencies (one-time): pip install mcp algosdk cryptography

Tools

ToolPurposepensieve_captureAppend an event to the hash-chained ledger (deduplicates by content)pensieve_dream_cyclePromote 24 h recurring patterns into semantic / procedural / self_modelpensieve_anchorEncrypt + anchor today's memory to Algorand (idempotent, auto-chunks)pensieve_validateRun v2.1 hardening: chain integrity, decrypt, parity, chunk hashespensieve_recoverReconstruct memory from blockchain for a given datepensieve_statusLayer counts, chain tip, last anchor date, today's cost estimate

Daily workflow

Capture events throughout the day with pensieve_capture. At end-of-day, run pensieve_dream_cycle to consolidate patterns. Run pensieve_anchor to encrypt and commit to Algorand. Run pensieve_validate — only trust recovery claims when ok=true.

Mandatory operational rules

All *.jsonl files are append-only. Never rewrite or delete lines. Secrets stay in env vars (or .secrets/). Never print them in chat. Anchor encrypted payloads only — never plaintext memory. Treat pensieve_validate failures as blocking for disaster-recovery claims.

Security

Sensitive values are read from environment variables at runtime: ALGORAND_WALLET_MNEMONIC — never logged, never written to disk by the server. ALGORAND_NOTE_KEY_HEX — 64 hex chars (32-byte AES key). Fallback to .secrets/algorand-wallet-nox.json and .secrets/algorand-note-key.bin is supported for local development only. Prefer env vars in all deployments. Use a dedicated low-balance anchoring wallet. Fund it with enough ALGO for your expected daily TX volume (see cost model in server.py module docstring). Never reuse the main OpenClaw operations wallet for anchoring.

Recovery

# Recover and inspect pensieve_recover(date="2026-03-14") # Recover and write files to memory/recovered/ pensieve_recover(date="2026-03-14", restore=True)

Architecture reference

See references/architecture.md for memory layer model and integrity guarantees. See references/hardening-v21.md for the v2.1 pass/fail contract.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Docs1 Scripts1 Files

SKILL.md Primary doc
references/architecture.md Docs
references/hardening-v21.md Docs
references/ops-runbook.md Docs
server.py Scripts
requirements.txt Files