Tier 3 · Agent memory Agent memory · fetched 2026-07-02

Synaptic (rust-synaptic)

A production-grade AI agent memory system in Rust featuring intelligent memory management, knowledge graphs, and temporal tracking - a reference for what a serious, performance-focused memory engine looks like.

View source on GitHub

Key takeaways

01
Knowledge-graph structure adds relations plain stores miss
02
Temporal tracking lets memories age and decay explicitly
03
Memory management is an engineering discipline, not a bolt-on

Flows built on this research

Memory & Context

Memory Consolidation and Pruning Schedule

Keep agent memory healthy over months: scheduled consolidation, decay, promotion between layers, and safe pruning.

4 steps · 60-90 minutes

From the archive

Verbatim excerpts mined from our local archive of this repository — the prompts, schemas, and patterns worth stealing.

Memory

Why naive memory retrieval collapses at scale

Current problems: get_recent() calls list_keys() then retrieve() per entry - a full table scan. 10,000 entries: ~100ms to return 10. 100,000 entries: 1s+.

Proposed indexes:
- Access Time Index: BTreeMap<DateTime, HashSet<key>> - O(log n + k) for k most recent
- Access Frequency Index: BinaryHeap<(count, key)> max-heap with lazy rebuild - O(1) top-k when clean
- Tag Index: inverted index tag -> keys, O(1) lookup

The unglamorous truth of agent memory: recency and frequency queries need real index structures, or the memory system becomes the latency bottleneck.

docs/memory-retrieval-optimization-design.md