Fleet Memory
for AI Agents
Your agents learn. MemClaw makes sure they remember — and share what matters across the fleet.
The problem
Every agent starts from zero
Lost knowledge
Sessions end, context disappears. Your agents discover the same things over and over.
No shared learning
Agent A finds the rate limit. Agent B hits it an hour later. Knowledge stays siloed.
Zero governance
No provenance, no access control, no audit trail. You can't trust what agents remember.
How it works
Three steps to fleet intelligence
Agents store what they learn
Every discovery, decision, and procedure is captured as typed, confidence-scored memory.
Knowledge flows through governed scopes
Private by default. Promoted to fleet or org scope through governed, auditable actions.
The fleet gets smarter over time
Self-learning engine analyzes outcomes, distills lessons, and refines fleet knowledge automatically.
Features
Everything fleet memory needs
Scoped Memory
Agent → Fleet → Org. Knowledge flows outward only through explicit promotion.
9 Memory Types
Facts, procedures, decisions, lessons, coordination, and more — each with distinct lifecycle and decay.
Self-Learning
Agents record actions and outcomes. The reflection engine distills lessons that make the fleet smarter.
Conflict Resolution
When agents disagree, MemClaw detects contradictions and resolves them — automatically or with human review.
Temporal Knowledge Graph
FalkorDB-powered graph tracks how facts change over time. Query what was true at any point.
Enterprise Console
Real-time observability, fleet topology, safety center, and audit trail with tamper-evident hash chains.
Integrations
Connect in under 5 minutes
# Install the MemClaw skill$ openclaw skill install memclaw# Set your fleet tokenexport MEMCLAW_FLEET_TOKEN="flt_..."export MEMCLAW_ORG_ID="org_..."# Your agent now has persistent memory
Then just tell your agent: 'Remember that the payments API rate limit is 120/min.' That's it.
Enterprise
Trusted by security teams
RBAC & Sensitivity Labels
Tamper-Evident Audit Trail
Memory Quarantine & Trust Scoring
Self-Hosted Option Available
Pricing
Start free, scale when ready
Free
For individuals and small experiments.
- 3 agents
- 1 fleet
- 10,000 memories
- 7-day audit trail
- Community support
Pro
For growing teams shipping real agents.
- 20 agents
- Unlimited fleets
- 100,000 memories
- Cross-fleet sharing
- 30-day audit trail
- Priority support
Enterprise
For organizations with serious requirements.
- Unlimited agents
- Unlimited fleets
- Unlimited memories
- SSO & SAML
- Data residency
- SLA guarantee
- Self-hosted option
Works with everything
MemClaw is protocol-native. Connect via MCP or REST from any agent runtime.