AI · alternatives · 2026

24 alternatives to Skeg

The memory-efficient vector DB with high recall.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
Vector – A High-Performance Log and Metric Router Written in Rust▲322
A high-performance observability data pipeline. Contribute to vectordotdev/vector development by creating an account on GitHub.
2019 · github.com · its alternatives →
2
Victor, a browser-optimized vector database written in Rust▲27
Hey HN, My friend Sam and I were bored one weekend, and wanted to make something self-contained but still useful. We ended up with Victor [0], a vector database designed to run in the browser. It’s written in Rust, which gives us access to things like super-fast and compact serialization and deserialization, but it’s compiled to WASM and uses web-sys to interact with the browser’s JS APIs to write the database contents to disk. We worked hard on designing it in a way that makes sense for the browser. It uses the private origin file system [1] and stores the vectors in a compact format (one…
2023 · github.com · its alternatives →
3
HelixDB – Open-source vector-graph database for AI applications (Rust)▲237
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
4SA
Skov – A visual programming environment▲142
2016 · skov.software · its alternatives →
5
Use Claude Code to Query 600 GB Indexes over Hacker News, ArXiv, etc.▲397
Paste in my prompt to Claude Code with an embedded API key for accessing my public readonly SQL+vector database, and you have a state-of-the-art research tool over Hacker News, arXiv, LessWrong, and dozens of other high-quality public commons sites. Claude whips up the monster SQL queries that safely run on my machine, to answer your most nuanced questions. There's also an Alerts functionality, where you can just ask Claude to submit a SQL query as an alert, and you'll be emailed when the ultra nuanced criteria is met (and the output changes). Like I want to know when somebody posts about…
Dec 2025 · exopriors.com · its alternatives →
6
KiviDB, a faster Redis-compatible memory database and vector cache▲69
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in - kividbio/kividb
3d ago · github.com · its alternatives →
7AG
A GPU-accelerated binary vector index▲65
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
8
Fast vector similarity using Rust and Python▲141
I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…
2023 · github.com · its alternatives →
9
Weave▲237
Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…
2025 · app.workweave.ai · its alternatives →
10
A Python container for dataclasses with multi-indexing and vector opps▲122
A container for dataclasses with multi-indexing and bulk operations. - joshlk/dataclassframe
2020 · github.com · its alternatives →
11
Embeddinghub: A vector database built for Machine Learning embeddings▲118
The Virtual Feature Store. Turn your existing data infrastructure into a feature store. - featureform/featureform
2021 · github.com · its alternatives →
12
CloseVector▲100
Portable Vector database
2023 · closevector.getmegaportal.com · its alternatives →
13
SemaDB▲109
No fuss vector database for AI
2023 · semafind.com · its alternatives →
14
A memory database that forgets, consolidates, and detects contradiction▲48
Vector databases store memories. They don't manage them. After 10k memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution. Your AI agent just gets noisier. YantrikDB is a cognitive memory engine — embed it, run it as a server, or connect via MCP. It thinks about what it stores: consolidation collapses duplicate memories, contradiction detection flags incompatible facts, temporal decay with configurable half-life lets unimportant memories fade like human memory does. Single Rust binary. HTTP + binary wire protocol. 2-voter + 1-witness HA…
Apr 2026 · github.com · its alternatives →
15
Epsilla – Open-source vector database with low query latency▲111
Hey HN! We are building Epsilla (https://github.com/epsilla-cloud/vectordb), an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. When do we need a vector database? For example, GPT-3.5 has a 16k context window limit. If we want to let it answer a question about a 300 page book, we cannot put the whole book content into the context. We have to choose the sections of the book that are most relevant to the question. Vector database is specialized at ranking and picking the most relevant content from a large pool…
2023 · github.com · its alternatives →
16
Engrim – A universal, local-first SQLite memory engine for AI CLIs▲93
The Universal Cross-Model Episodic Memory Standard. Local-first, project-scoped SQLite memory engine for Google Antigravity, Claude Code, Cursor, and Windsurf. Zero cloud lock-in. - timgordontg/engrim
Sep 2026 · github.com · its alternatives →
17
Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)▲60
Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend. - zaydmulani09/mnemo
Jun 2026 · github.com · its alternatives →
18
A simple distributable object-storage system in Go▲19
Simple Object Storage (I wish I could call it Steve's Simple Storage, or S3 ;) - skx/sos
2016 · github.com · its alternatives →
19
Minigraf – An embedded, bi-temporal graph database in Rust▲41
Embedded graph memory for AI agents, mobile apps, and the browser. - project-minigraf/minigraf
17d ago · github.com · its alternatives →
20
Sklad – Secure, offline-first snippet manager (Rust, Tauri v2)▲22
Hi HN, I’m Pavel. I built Sklad because, as a DevOps engineer, I was frustrated with how I handled operational data. I constantly need access to SSH passwords (where keys aren't an option), specific IP addresses, and complex CLI one-liners. I realized I was storing them in insecure text files or sticky notes because standard clipboard managers felt too bloated and password managers were too slow for my workflow. I wanted a "warehouse" for this data—something that lives quietly in the system tray, supports deep hierarchy, works completely offline, and looks industrial. The app is built with…
Feb 2026 · github.com · its alternatives →
21
MinDB – an extremely memory-efficient vector database▲17
Extremely memory-efficient vector database. Contribute to D-Star-AI/minDB development by creating an account on GitHub.
2024 · github.com · its alternatives →
22
Skizze – High-throughput probabilistic data structure service▲53
A probabilistic data structure service and storage - skizzehq/skizze
2016 · github.com · its alternatives →
23
memories.sh▲50
One layer for memories, skills, and rules across any agent
Feb 2026 · memories.sh · its alternatives →
24
OctaneDB – Fast, Open-Source Vector Database for Python▲33
OctaneDB is an open-source vector database for Python that focuses on ultra-fast similarity search for high-dimensional data—perfect for AI/ML, semantic search, and large-scale document or embedding retrieval. What does it do? Store, index, and search millions of embeddings (text, images, etc.) with sub-millisecond query time. Supports in-memory and efficient HDF5 persistent storage. Integrates seamlessly with sentence-transformers for automatic text embedding. Key Features: 10x faster than Pinecone or ChromaDB for vector search and batch insertions. Advanced indexing: HNSW (approximate…
2025 · github.com · its alternatives →

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