TraceMem makes the context, approvals, and reasoning behind AI actions durable - so every decision can be explained, audited, and trusted.

Make every agent decision explainable, auditable, and defensible with comprehensive decision tracking
Every action wrapped in a decision envelope
Show evidence, lineage, and rationale
Gate actions with approvals and rules
TraceMem introduces a trace-native layer that turns decision context into durable institutional memory.
client = MCPClient(url, api_key)client.initialize()decision = client.call_tool('decision_create', { intent: 'customer.order.discount.evaluate', actor: 'incident-discount-order-agent-v1'})client.call_tool('decision_read', { product: 'pg_incidents_v1', query: { customer_id }})client.call_tool('decision_read', { product: 'pg_products_v1'})policy_result = client.call_tool('decision_evaluate', { policy_id: 'discount_cap_v1', inputs: { proposed_discount }})if policy_result.outcome == 'requires_exception': client.call_tool('decision_request_approval', { title: 'Order Discount Approval', message: justification }) # Poll for approval statusclient.call_tool('decision_add_context', { context: decision_data})client.call_tool('decision_write', { product: 'pg_orders_v1', mutation: { operation: 'insert' }})client.call_tool('decision_close', { action: 'commit'})Every AI action is recorded with its intent, context, and outcome.
No decision record → no action. TraceMem enforces accountability at runtime.
Human approvals become permanent, searchable records — not lost Slack messages.
Know which rules applied, which were exceeded, and why exceptions were allowed.
{"rules": [{"if": {"left": {"var": "proposed_discount" },"op": "<=","right": 0.2 },"then": {"outcome": "allow" } },{"then": {"outcome": "requires_exception","reason_code": "DISCOUNT_CAP_EXCEEDED" } } ],"type": "rule_set"}TraceMem captures the reasoning behind AI decisions - not just the results.
TraceMem treats decisions as first-class data, not logs or afterthoughts.
Designed for AI agents that read, write, and act across real systems.
Approvals, overrides, and judgment calls are captured as durable precedent.
Every decision has context, evidence, and accountability baked in.
All the core power - pay for scale, not features.
All features, with lightweight limits
Unlimited flexibility for growing teams
For organizations that need full control
Short answers to the things teams ask first.
TraceMem makes AI-driven actions explainable, auditable, and trusted.