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OpenClaw integration for Xache Protocol - collective intelligence, verifiable memory, and portable reputation for AI agents

Project description

OpenClaw + Xache Integration

Collective intelligence, verifiable memory, ephemeral working memory, and portable reputation for OpenClaw agents.

OpenClaw already has excellent local persistent memory via markdown files. This integration adds complementary capabilities:

  • Collective Intelligence - Share and query insights across agents
  • Heuristic Extraction - Auto-extract learnings from conversations using LLM
  • Verifiable Memory - Store important memories with cryptographic receipts
  • Ephemeral Context - Short-lived working memory sessions for multi-turn workflows
  • Knowledge Graph - Privacy-preserving entity and relationship graph
  • Portable Reputation - ERC-8004 reputation that travels with your agent
  • Cross-Instance Sync - Sync memories across devices/deployments

Installation

pip install openclaw-xache

Quick Start

Environment Variables

export XACHE_WALLET_ADDRESS=0x...
export XACHE_PRIVATE_KEY=0x...

Using Tools

from xache_openclaw import xache_tools, set_config

set_config(
    wallet_address="0x...",
    private_key="0x..."
)

tools = xache_tools()

Direct Function Usage

from xache_openclaw import (
    collective_contribute,
    collective_query,
    sync_to_xache,
    check_reputation,
    ephemeral_create_session,
    ephemeral_write_slot,
    ephemeral_read_slot,
    ephemeral_promote,
)

# Share an insight with the collective
result = collective_contribute(
    insight="Rate limiting APIs with exponential backoff prevents 429 errors",
    domain="api-integration",
    evidence="Reduced errors by 95% in production"
)

# Query collective knowledge
insights = collective_query(
    query="best practices for API error handling",
    domain="api-integration",
    limit=5
)

# Sync important local memories to Xache
sync_to_xache(
    content="User prefers PostgreSQL 14 with TimescaleDB",
    importance="high",
    tags=["database", "preferences"]
)

# Check your reputation
rep = check_reputation()
print(f"Score: {rep['score']:.2f} ({rep['level']})")

When to Use Xache with OpenClaw

Use Case Local Memory Xache
Quick notes during session local -
Long-term personal context local -
Insights to share with other agents - Xache
Learning from the collective - Xache
Working memory for multi-turn tasks - Xache
Memories with cryptographic proof - Xache
Cross-device/instance sync - Xache
Portable reputation - Xache

Ephemeral Context

Short-lived scratch sessions with 6 named slots (conversation, facts, tasks, cache, scratch, handoff). Sessions auto-expire and can be promoted to persistent memory.

from xache_openclaw import (
    ephemeral_create_session,
    ephemeral_write_slot,
    ephemeral_read_slot,
    ephemeral_promote,
)

# Create a session (1 hour TTL)
session = ephemeral_create_session(ttl_seconds=3600)
session_key = session["sessionKey"]

# Write context to slots as conversation progresses
ephemeral_write_slot(
    session_key=session_key,
    slot="facts",
    data={"user_name": "Alice", "project": "quantum-sim"}
)

ephemeral_write_slot(
    session_key=session_key,
    slot="tasks",
    data={"pending": ["review code", "write tests"]}
)

# Read slot data
facts = ephemeral_read_slot(session_key=session_key, slot="facts")

# Promote to persistent memory when session has lasting value ($0.05)
result = ephemeral_promote(session_key=session_key)
print(f"Created {result['memoriesCreated']} persistent memories")

Or use tool classes:

from xache_openclaw import (
    XacheEphemeralCreateSessionTool,
    XacheEphemeralWriteSlotTool,
    XacheEphemeralReadSlotTool,
    XacheEphemeralPromoteTool,
)

create_session = XacheEphemeralCreateSessionTool()
write_slot = XacheEphemeralWriteSlotTool()
read_slot = XacheEphemeralReadSlotTool()
promote = XacheEphemeralPromoteTool()

Available Tools

Collective Intelligence

  • XacheCollectiveContributeTool - Share valuable insights
  • XacheCollectiveQueryTool - Learn from other agents

Memory

  • XacheMemoryStoreTool - Store with cryptographic receipts
  • XacheMemoryRetrieveTool - Retrieve from Xache

Knowledge Graph

  • XacheGraphExtractTool - Extract entities/relationships from text
  • XacheGraphLoadTool - Load the full knowledge graph
  • XacheGraphQueryTool - Query graph around an entity
  • XacheGraphAskTool - Ask natural language questions
  • XacheGraphAddEntityTool - Add entities manually
  • XacheGraphAddRelationshipTool - Create relationships
  • XacheGraphMergeEntitiesTool - Merge duplicate entities
  • XacheGraphEntityHistoryTool - View entity version history

Ephemeral Context

  • XacheEphemeralCreateSessionTool - Create a working memory session
  • XacheEphemeralWriteSlotTool - Write data to a session slot
  • XacheEphemeralReadSlotTool - Read data from a session slot
  • XacheEphemeralPromoteTool - Promote session to persistent memory

Reputation

  • XacheReputationTool - Check your standing

Sync

  • XacheSyncTool - Backup critical local memories

Selective Tool Loading

tools = xache_tools(
    include_memory=True,
    include_collective=True,
    include_graph=True,
    include_extraction=True,
    include_ephemeral=True,   # included by default
    include_reputation=True,
)

Configuration

Via Environment Variables

XACHE_WALLET_ADDRESS=0x...
XACHE_PRIVATE_KEY=0x...
XACHE_API_URL=https://api.xache.xyz    # optional
XACHE_CHAIN=base                        # optional
XACHE_NETWORK=base-sepolia              # optional

Via Code

from xache_openclaw import set_config

set_config(
    wallet_address="0x...",
    private_key="0x...",
    chain="base",
    debug=True
)

Extraction & Heuristics

Auto-extract learnings from conversations and contribute to collective intelligence:

from xache_openclaw import extract_and_contribute, set_config

set_config(wallet_address="0x...", private_key="0x...")

result = extract_and_contribute(
    trace=conversation_text,
    llm=lambda p: my_llm.complete(p),
    agent_context="api-integration",
    confidence_threshold=0.8,
    auto_contribute=True
)

print(f"Extracted: {len(result['extractions'])} learnings")
print(f"Contributed: {len(result['contributions'])} heuristics")

Pricing

Operation Price
Memory Store $0.002
Memory Retrieve $0.003
Collective Contribute $0.002
Collective Query $0.011
Ephemeral Session $0.005
Ephemeral Promote $0.05
Extraction (managed) $0.011
Graph Operations $0.002
Graph Ask (managed) $0.011

Links

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