Explore memory-policy developer tools on MemoryLogic.si, including retrieval fixtures, temporal rules, deletion tests and clearly separated hardware research.
Govern What Software Remembers
MemoryLogic.si could identify a developer toolkit for specifying and testing memory rules in applications retrieving historical context. It would govern what may be stored, updated, retrieved or removed without initially operating a production memory service. Teams could test existing databases and retrieval systems before releasing changes.
.SI is officially Slovenia's country-code top-level domain. Systems intelligence and silicon-inspired readings are creative branding. Superintelligence is speculative and irrelevant to this bounded toolkit. Application context, database retrieval and computer hardware are distinct topics, even when they share memory terminology.
Express Policies as Testable Rules
Developers could classify user preferences, temporary task state and sensitive data forbidden from persistent storage. Rules would define purpose, identity scope, expiry and provenance. A compiler could flag contradictory retention requirements instead of silently choosing a policy.
A reference evaluator could return inspectable reason codes. Configuration alone does not enforce rules throughout an application, so documentation must identify instrumented adapters and unverified paths. Passing a narrow test suite should not become a privacy or compliance guarantee.
Evaluate More Than Relevance
Fixtures could include contradictory preferences, stale records, similarly named users and malicious stored instructions. Expected results would define permitted context and exclusions. Retrieval and answer generation should be assessed separately so a useful final response cannot conceal unauthorized evidence entering the context window.
The MemoryNetwork.si federation concept addresses shared evidence infrastructure. MemoryLogic.si would test behavior across backends rather than replace them. Reports could compare temporal correctness, permission filtering and context size using held-out cases after ranking or embedding changes.
Make Correction and Deletion Observable
Tests could trace a record through primary storage, indexes, caches and derived summaries. Retrieval suppression and actual removal are different properties; adapters should report precisely what they can verify. Backup retention may require distinct schedules that remain visible.
Controlled clocks could test expiry boundaries, while correction fixtures verify that superseded preferences no longer outrank updates. Unverified downstream copies should be flagged rather than declared erased. The MindMemory.si personal-context concept would face these issues in live use, a separate operational responsibility.
A Local-First MVP and Optional Research Track
A command-line package could include a policy schema, fixture runner and one relational and one vector adapter. A report viewer would show candidate records and version differences. Synthetic fixtures would let teams investigate leakage without uploading real histories.
Optional hardware research could explore memory hierarchies or assisted filtering in a separate repository and support track. Benchmarks would require disclosed workloads and baselines. Software customers should not need experimental hardware, and prototypes should not be marketed as production-ready capabilities.
Commercialize Around Honest Coverage
An open-core model could offer local tests with paid team baselines, private registries and scheduled evaluation. Hosted reports need redaction because failure records can contain precisely the information being protected. Telemetry should avoid fixture contents by default.
Adapter maintenance, brittle policies and incomplete instrumentation are continuing risks. Pilots should introduce known leaks and stale-record defects to assess detection. The brandable-name guide and MemoryLogic.si listing provide separate naming context; trust depends on coverage and implementation, not the name or a passing score.