Knowledge & Memory

MCP server for local codebase indexing, semantic search, and code dependency graphs.

Memory layer for AI coding assistants. Indexes git history + code, exposes via MCP.

Associative key-graph memory for LLM agents — recall by association, not vector similarity.

OpenCode plugin — define custom AI agent roles via YAML with per-role prompts, models, skills, and permissions

One section in, one section out — on Markdown/GEML files, bad writes refused.

MCP server that keeps project memory — plan, rules, ADRs, docs and file notes — in a hayson document store

Session memory for coding agents: local-first recall, drift detection, on-device inference.

Local HTTP/WebSocket server for Agent Plan dashboards and planner APIs.

MCP Memory Server with Neo4j backend

Persistent file-based memory for AI agents: inspectable, versionable, fully local.

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.

MCP relay for InfoRapid KnowledgeBase Builder

Remnic MCP connector for Replit Agent — setup instructions for an existing token

Lightweight MCP sequential thinking scratchpad with optional tool-plan validation

Local-first project memory with legacy MCP and 2026 discovery compatibility.

Install the LoreKit shared-memory skill and run health checks for the LoreKit MCP server.

Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.