Zero-dependency JavaScript AES-256-GCM encryption suite for text, files, WebRTC E2EE & AI Agent Tooling (MCP). Supports symmetric password derivation, RSA-4096 hybrid encryption, and post-quantum cryptography via pure Web Crypto API.
Storage, memory and knowledge management for agents.
Zero-dependency JavaScript AES-256-GCM encryption suite for text, files, WebRTC E2EE & AI Agent Tooling (MCP). Supports symmetric password derivation, RSA-4096 hybrid encryption, and post-quantum cryptography via pure Web Crypto API.
4,352 pre-production checks: security, performance, scale, integrations, post-launch.
Deterministic, persistent graph server for tracking workflow state, decisions, and blockers.
CogMemory MCP Server — Unified context subsystems for AI coding agents
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.
Episodic memory, Frames, Policy Neighborhoods, and policy enforcement for AI agents.
SocratiCode — MCP server for local codebase indexing, semantic search, and code dependency graphs. All private, all local via Docker.
Mneme — the memory layer for your codebase. Knows the WHY, the WHAT, the WHERE-IT-BREAKS.
Read and edit long Markdown by block instead of by file — geml list/find/get address any .md, nothing is converted. Plus GEML, a plain-text format where blocks carry ids for validated writes, reference checks and per-block history. Ships an MCP server.
MCP server that keeps project memory — plan, rules, ADRs, docs and file notes — in a hayson document store
Persistent session memory for AI coding agents that never leaves your machine — including the on-device model that reasons over it. Restores your prior decisions, open TODOs, and changed files across sessions; adds associative recall of related past work,
Project-local RAG memory MCP server — knowledge graph + multilingual vector + FTS5 in a single SQLite file. Per-project isolation, 38 MCP tools, codepoint-safe chunking (Korean/CJK/emoji).
MCP Memory Server with Neo4j backend
CRBRO — Persistent neural memory for AI. A biological file-based MCP server that gives your AI long-term memory across sessions.
Where specs become law. A self-contained MCP suite that turns any repo into a spec-driven, agent-ready project: its own constitution (foundation), its own local code graph (Compass), its own spec-driven workflow (Lawbook), and opt-in skill packs (Tools).
Walrus Memory MCP client — single-binary stdio MCP server that bridges Cursor / Claude Desktop / Antigravity / Claude Code to the Walrus Memory relayer. Handles browser-based wallet login on first run.
Local-first MCP server: version-correct library docs, code map, and offline drift for your repo.
CLI, Interactive TUI Dashboard, and MCP server for thingd — a fast object-first data engine for applications and AI agents.
Lightweight MCP sequential thinking scratchpad with optional tool-plan validation
MCP server for Agent Plan, exposing planner-* tools over stdio.