#vector-search

Go SDK for Dakera AI agent memory — self-hosted, 88.2% LoCoMo. Vectors, hybrid search, knowledge graphs, sessions.

Reflective memory for agents

A pure-Go, single-file AI memory and knowledge graph library and plugin.

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RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet), so it builds with the stack instead of drifting off it.

MoFlo — an opinionated, local-first AI agent orchestration toolkit for Claude Code: semantic memory, learned routing, gates, and spells. No API keys, no cloud, works out of the box.

saige - Super Artificial Intelligence Graph Environment. A unified Go SDK, CLI, and MCP server for streaming AI agents, knowledge graphs, and RAG pipelines, with Ollama, OpenAI, Anthropic, and Google providers behind one interface.

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.

Persistent graph-native memory for coding agents — works with any MCP agent. SQLite + FTS5, model-agnostic.

Semantic memory for AI agents — local-first MCP server with hybrid search, governance, and consolidation

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Self-hosted AI memory engine - Ebbinghaus forgetting-curve decay, interaction-aware reinforcement, and conscious thought synthesis. Local SQLite + sentence-transformers embeddings.

OpenCodeRAG is a RAG (Retrieval-Augmented Generation) plugin for semantic code search powered by locally-hosted embedding models. It features a seamless integration with OpenCode and offers a CLI interface for external usage.

AI-Lake Format: self-contained Parquet + HNSW index — unifying tabular data, embeddings, and vector search in a single Iceberg-compatible file

End-to-end encrypted memory for AI agents — portable, yours forever.

AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.

MongoDB Search

Semantic code search for coding agents — search by meaning like grep, trace call graphs, find tests & blast radius. 100% local embeddings (ONNX/MLX), MCP server, plugins for Claude Code, OpenCode, Codex & Droid.

Local-first dynamic memory for agents and apps: SQLite source of truth, vector search candidates, hotness, decay, TTL, namespaces, and benchmarks.

Offline semantic search engine that runs anywhere.

High-performance graph database + vector search powered by InterSystems IRIS

The complete backend for AI agents in one SQLite file : Documents, vectors, cache, queue, and cron.

Persistent, queryable memory for AI agents with semantic recall, layered storage, snapshots, and multi-agent scoping

Search engine

Jurisdiction-aware judicial reasoning platform — a model-agnostic AI engine that produces citation-backed, adversarially-tested draft case analyses for human sign-off. Non-binding by design.

Ruby wrapper for the Weaviate vector search database API