Turn data into shared, structured memory
Owletto gives all your agents the same durable graph: connectors, recall, and managed auth without leaking credentials to the runtime.
How it works
Turn scattered prompts, tools, and application data into a shared context layer your agents can use everywhere.
Model the world
Represent accounts, transactions, variances, and reports as linked objects so close state survives across spreadsheets, dashboards, and chat threads.
Connect sources
Pull data from accounting systems, payment processors, CSV imports, and close checklists through MCP tools and scheduled syncs.
Variance memory stays credible because it is tied back to ledgers, payment systems, and close artifacts.
| Type | Source | Added context |
|---|---|---|
| ERP | General ledger data | Pull account state and period close context from the finance system of record. |
| Payments | Stripe payouts and refunds | Bring payout timing and refund behavior into the same variance graph. |
| Import | CSV reconciliations | Load one-off analyses and exceptions without losing the source artifact behind them. |
| Workflow | Close checklist | Connect reporting milestones and unresolved items to the same operational record. |
Let users connect their data
Use API keys and service accounts for finance systems while keeping access scoped outside the worker runtime.
Sensitive financial access stays scoped and auditable while agents still get the context they need.
| Access | System | How it works |
|---|---|---|
| API key | Finance SaaS tools | Use centrally managed credentials for accounting and payment providers. |
| Service account | Internal pipelines | Attach warehouse or reconciliation jobs without exposing long-lived secrets. |
| Manual | Exception imports | Allow operators to load one-off close evidence when automation is not the right path. |
| Isolation | Worker boundary | The agent reasons over reconciled state, not raw credentials or unrestricted system access. |
Reuse context across agents
The same variance memory powers finance agents wherever teams work.
The same variance memory powers finance agents wherever teams work.
Keep it fresh
Watchers keep balances, exception lists, and report status current as new payouts and adjustments arrive.
A scheduled watcher keeps this memory current as new source changes arrive.
{ variance_amount, likely_causes[], unresolved_items[], report_status }Latest blog posts
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Beats other memory systems on public benchmarks
Apples-to-apples comparison on public memory datasets. Same answerer (glm-5.1) and same questions.
LongMemEval (oracle-50)
Single-session knowledge retention.
| System | Overall | Answer | Retrieval | Latency |
|---|---|---|---|---|
| Lobu | 87.1% | 78.0% | 100.0% | 237ms |
| Supermemory | 69.1% | 56.0% | 96.6% | 702ms |
| Mem0 | 65.7% | 54.0% | 85.3% | 753ms |
LoCoMo-50
Multi-session conversational memory.
| System | Overall | Answer | Retrieval | Latency |
|---|---|---|---|---|
| Lobu | 57.8% | 38.0% | 79.5% | 121ms |
| Mem0 | 41.5% | 28.0% | 66.9% | 606ms |
| Supermemory | 23.2% | 14.0% | 36.5% | 532ms |
Start building shared memory
Model the right entities, connect your sources, and keep long-term context available across every agent workflow.