Persistent memory for AI agents — history, context, semantic search, queues. 46 tools, stdio/SSE.
Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
MCP server that gives your agent a library of its own tested, reusable scripts.
Two-layer memory for AI agents with an immune system. Zero dependencies.
Pay-per-call APIs settled on Kaspa L1: text tools, web reading, embeddings and semantic search, Kaspa chain data, LLM inference and RISC Zero zk proving.
SAP Fiori documentation indexing
Provenance-carrying memory for AI agents: corrections supersede, never overwrite. Free, API + MCP.
Local semantic code search with Git history. Works offline, no API key needed.
Local repo context for coding assistants with semantic search and graph relationships.
100% In-Process Bare-Metal Hybrid Memory Engine & MCP Server for LLMs (SQLite + Int8 Vectors).
Shared persistent memory for AI agents to read, verify, continue, and connect knowledge.
Docs + source RAG for Pipe language: semantic search, cited answers, code symbol lookup.
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
ComfyUI MCP server: knowledge base, workflow builder, real-time execution, models, plugins.
Company brain for AI agents — temporal knowledge graph search, exploration, and durable memory.
Windows AgentMemory downstream for Codex with project-scoped persistent memory, bounded cross-project recall, and an authenticated loopback MCP service; prebuilt Windows releases are available as an u
Local-first agent memory and knowledge base: hybrid dense and BM25 retrieval, document and webpage ingestion and optional RAG answers via local Ollama.
Local persistent memory for Claude Code: tracks mistakes and decisions via hooks, searches session history, detects loops and warns before edits.
Persistent memory shared across Claude Chat, Code and Cowork, stored in local SQLite with full-text search.
Local workspace memory: indexes Markdown, CSV and session logs into a vector store with hybrid search, cross-session memory and knowledge graph visualization.
Self-hosted long-term memory gateway for AI clients: runs on your own Cloudflare account (Workers + D1 + Vectorize), captures conversations, consolidates them overnight, and recalls them across Chatbo
Free web search and long-term memory for AI assistants. No API keys; data stays local.
Desktop app that captures screen activity, stores AI summaries and OCR text locally, and exposes the history via semantic search and a timeline.
Store and retrieve conversation memories from multiple LLMs in MongoDB, with timestamps and LLM identification.
Persistent fractal graph memory for coding agents: semantic search, hot/cold/archive context tiers and decision tracking on Qdrant.
Literature knowledge base for DSH and MCP clients. Index PDFs or a Zotero library into one SQLite file; search and RAG tools return passages with section, page and DOI. Embedding and reranking run loc
Self-hosted hybrid agent memory on Qdrant combining vector search, BM25, temporal retrieval and an optional Memgraph knowledge graph via rank fusion.
Filesystem-based persistent agent memory: agents read, write and search memory while a background daemon handles consolidation and extraction.
Persistent memory with SQLite hybrid search (FTS5 and semantic), built-in Qwen3 embeddings and rclone sync across machines.
Retrieve context from your Ragie knowledge base, connected to sources like Google Drive, Notion and Jira.
LLM-driven context and memory management: short- and long-term memory with vector, timeline and knowledge graph retrieval plus reranking.
SQLite-based memory with exponential decay: memories strengthen on access and fade when unused, limiting unbounded context growth.
Personal knowledge graph for Claude on Neo4j with typed entities, bi-temporal edges, weighted decay, contradiction detection and local embeddings.
STIL lab at ETS Montreal — knowledge base and paper search via ArXiv and Semantic Scholar.
Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.
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