Store and recall structured memories with JSON Schema validation and keyword search.
npx skills add https://github.com/aromancev/synapse --skill synapse-aromancev
Please help me install this Agent Skill. Skill: synapse Source: https://github.com/aromancev/synapse/tree/main Command: npx skills add https://github.com/aromancev/synapse --skill synapse-aromancev
Synapse solves the challenge of reliably storing, validating, and retrieving structured memories for AI agents so they do not forget context, repeat mistakes, or lose associative links between items. It prevents unstructured note sprawl, reduces token waste by returning compact JSON read models, and enables reproducible rebuilds via an append-only event log.
Initialize a local Synapse database with synapse init, add a JSON schema, create a node with synapse nodes add, and then search or list nodes to inspect the stored memory.
High-intent search queries and answers about installing and using this skill.
Store structured local memory for AI agents by using an append-only SQLite event store with runtime JSON Schema validation. This approach captures contextual nodes and bidirectional links, preventing context loss and reducing token waste.
Yes, event sourcing works with local agent memory management by recording all changes as immutable SQLite events. Projections rebuild queryable read models that integrate directly with CLI workflows and jq-driven shell tooling.
Traverse a knowledge graph from the command line by creating typed nodes with attached keywords and bidirectional links. You can then use lightweight CLI commands to search nodes and expand contextually across the graph.
Validate JSON schemas for local memory by applying runtime JSON Schema validation to node payloads before they are recorded as append-only events in SQLite. This ensures stored memories remain consistent and structured.
Yes, you can replicate an append-only event log to backup local agent memory using file-based JSONL replication. Iterators enable safe backups and allow restoring the event store into fresh databases.
Using SQLite for local agent memory management limits you to file-based local storage rather than distributed network databases. It is designed for local CLI workflows and single-agent contextual graph traversal rather than high-concurrency server environments.
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