271 MCP servers and agent skills in the Knowledge & Memory category, ranked by quality score.
Local-first cognitive memory for AI agents. FSRS-6 scheduling, smart ingest, SQLite storage, portable sync, embedded dashboard, and optional Cognitive Sandwich hooks for Claude Code, Cursor, Codex, and other MCP clients.
AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern knowledge graphs via Oxigraph triple store.
Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.
Persistent cognitive memory for Claude Desktop. Sub-ms recall, offline, encrypted.
Agent-first cognitive substrate with 18 manifest-driven verbs (germinate / eat / assimilate / sporulate / traverse / immune / molt / …) and 25 lint dimensions enforcing contract invariants mechanically (R1–R7). Cross-session / cross-project memory via a self-validating filesystem graph — AST + markdown-link derived, not embedding-based. Provider-agnostic by design: MP1/MP2 dims forbid LLM-SDK impo
Local-first, MCP-native persistent memory for AI agents — a single Rust binary with embedded SQLite, hybrid FTS5 + dense-vector search, and optional AES-256-GCM encryption. Fully offline, no cloud.
Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
Local-first persistent memory for AI coding agents. Hybrid vector + full-text search (LanceDB + Tantivy), separate Markdown and Tree-sitter code indexes, per-project isolated vaults shared across IDEs (Cursor, Zed, Claude Code, Codex), bounded recall with abstain-on-low-confidence.
Cognitive memory engine with 5,100+ knowledge modules, circadian rhythm awareness, and emotional state tracking (PAD model). Hybrid search (PostgreSQL + Qdrant vectors + Valkey cache), per-user memory isolation, and multi-protocol support (MCP, REST, OpenAI, LangChain, A2A). `npx @celiums/memory` [Website](https://celiums.io)
MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.
Deterministic knowledge graph MCP server. Single binary, zero LLM/embedding calls in the bridge, BLAKE3 state hashing, canonical KREX export for byte-identical audit. Local-first via redb (ACID). **Alpha**.
Neuroscience-inspired memory engine for AI agents. Stores episodes, consolidates knowledge through a Bjork-strength lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools. Install via `npx alaya-mcp`.
Self-hosted semantic memory server, served over MCP, for an engineering team's tribal knowledge: the tacit decisions and hard-won reasoning behind the code, captured once and kept queryable for the team and the agents they work with. Postgres-backed (pgvector).
Project-scoped semantic workspace memory for AI coding assistants. Watches your project files, auto-indexes code and docs into Qdrant with tree-sitter semantic chunking, LSP integration, and hybrid search (dense + sparse + RRF). 6 MCP tools: store, search, retrieve, grep, list, rules. **Alpha** — testers and feedback welcome.
Local-first memory for AI agents: a single self-contained Rust binary over one SQLite file. Hybrid BM25/FTS + on-device ONNX embeddings + cross-encoder rerank; abstains instead of returning a confident wrong memory. No server, no API key, zero marginal cost. `memkeeper mcp`