Heykuki News

TopNewBestAskShowJobs
TopNewBestAskShowJobs
151.
I built an open-weights memory system that reaches 80.1% on the LoCoMo benchmark
2 points
ViktorKuz
6 months ago
2 comments
152.
Show HN: Local memory layer for AI agents, survives restarts, no embeddings (screenapp.io)
2 points
JosephjackJR
3 months ago
discuss
153.
Show HN: Synrix local-first memory engine (O(k) retrieval, no vectors, no cloud) (github.com/RYJOX-Technologies)
2 points
JosephjackJR
4 months ago
discuss
154.
Show HN: Memory System Hitting 80.1% Accuracy on LoCoMo (Built in 4.5 Months) (github.com/vac-architector)
2 points
ViktorKuz
6 months ago
discuss
155.
Show HN: Squash – extension that lets ChatGPT know who you are (chromewebstore.google.com)
2 points
xtrkil
10 months ago
discuss
156.
Hi, I'm Viktor.I wasn't a programmer. I didn't build apps. I didn't write code
1 point
ViktorKuz
5 months ago
1 comment
157.
Brain file format for AI agents – one file, any LLM, sub-millisecond queries
1 point
morshola
4 months ago
discuss
158.
80.1 % on LoCoMo Long-Term Memory Benchmark with a pure open-source RAG pipeline
1 point
ViktorKuz
5 months ago
discuss
159.
Show HN: Change the model. Same output. The pipeline decides. VAC Memory System
1 point
ViktorKuz
6 months ago
discuss
160.
Show HN: Squash SDK – Give your web app access to rich browsing context (github.com/kstonekuan)
1 point
xtrkil
10 months ago
discuss
161.
Show HN: VSCode Working Memory – Capture everything in a single text file (github.com/atomashevic)
3 points
atomashevic
4 years ago
1 comment
162.
Show HN: I built an agent memory system for myself and got 90.8% on LongMemEval (github.com/shane-farkas)
3 points
inshane
2 months ago
discuss
163.
Linting for Your Docs (github.com/a24z-ai)
3 points
fernandoramlugo
9 months ago
discuss
164.
You're doing context engineering wrong (github.com/a24z-ai)
3 points
brandonin
9 months ago
discuss
165.
Made a Simple Memory Indicator for macOS Status Bar. Made Me Happy (github.com/gs-asrivastav)
3 points
pplonski86
7 years ago
discuss
166.
They Say AI Will Replace Programmers. I Think AI Will Mass-Produce Them Instead (github.com/vac-architector)
2 points
ViktorKuz
6 months ago
2 comments
167.
Elo Memory – Bio-inspired episodic memory for AI agents (free, open source) (github.com/server-elo)
2 points
elo-memory
2 months ago
discuss
168.
Show HN: VAC Memory – 80.1% LoCoMo accuracy vs. Mem0's 68% (github.com/vac-architector)
2 points
ViktorKuz
6 months ago
discuss
169.
Show HN: Squash – your browsing history as context for ChatGPT (github.com/kstonekuan)
2 points
xtrkil
10 months ago
discuss
170.
Lamini Memory Tuning: near-perfect fact recall via 1M-way MoE [pdf] (github.com/lamini-ai)
2 points
Bluestein
2 years ago
discuss
171.
Two orders of magnitude faster Persistent AI memory via a binary lattice (github.com/RYJOX-Technologies)
1 point
JosephjackJR
4 months ago
2 comments
172.
VAC Memory System – SOTA RAG (80.1% LoCoMo) Built by a Handymen Using Claude CLI (github.com/vac-architector)
1 point
VAC-AGI
6 months ago
2 comments
173.
CUDA Unified Memory Analyzer – measure what your GPU is doing with memory (github.com/parallelArchitect)
1 point
gpu_systems
3 months ago
1 comment
174.
Most LLM conversations are noise: a cheap way to decide what to remember (github.com/zachseven)
1 point
zachseven
5 months ago
1 comment
175.
Show HN: MCA-Entity Coverage as a Memory Retrieval Gate (github.com/vac-architector)
1 point
ViktorKuz
6 months ago
1 comment
176.
Long-term memory (LTM) extension for oobabooga's Text Generation Web UI (github.com/wawawario2)
1 point
rahimnathwani
3 years ago
1 comment
177.
Show HN: Google ADK and Vertex AI Memory Bank for Persistent Conversational AI (github.com/serkanh)
1 point
serkanh
a year ago
discuss
178.
Banishing LLM hallucinations requires rethinking generalization [pdf] (github.com/lamini-ai)
1 point
itunpredictable
2 years ago
discuss
179.
A default Rails install takes up to 40M (github.com/penso)
1 point
fabienpenso
11 years ago
discuss
180.
Show HN: Zep – Long-Term Memory Store for LLM Apps
7 points
roseway4
3 years ago
3 comments
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