Memory backbone for AI agents. Four-tier store — working, episodic, semantic, procedural — with decay, consolidation, and association graphs. Fused semantic + SIMD-accelerated hybrid recall, in-process MCP, REST/gRPC, and language SDKs.
How fast spectrayan/spector is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Nov 9 – Nov 15, 2026
Stars +1in 7 days
01
1
Forks +0in 7 days
01
Merged PRs 4in 7 days
0123
3
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Nov 9Nov 10Nov 11Nov 12Nov 13Nov 14Nov 15
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Mon, Nov 9, 2026
+0
+0
3
Tue, Nov 10, 2026
+0
+0
0
Wed, Nov 11, 2026
+0
+0
0
Thu, Nov 12, 2026
+0
+0
0
Fri, Nov 13, 2026
+1
+0
1
Sat, Nov 14, 2026
+0
+0
0
Sun, Nov 15, 2026
+0
+0
0
Total
+1
+0
4
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
Can you see what your AI agent remembers? Spector's Cortex dashboard lets you explore how memories connect, reinforce or forget one, and see why a recall ranked what it did. Try it with docker…
The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives. Memories evolve on their own. MCP-native. Single binary.
A Memory Engine for AI Agents,Working with Jev can bring higher decision accuracy . Nylon models a memory as a woven body of multiple strands of "threads" (facts/emotions/timing/relationships/beliefs/frequencies), with weighted edges between memory nodes forming a network graph rather than a hierarchical tree.
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
