by j0hanz
SQLite-backed MCP server for persistent memory, full-text retrieval, and graph traversal.
npm:@j0hanz/memory-mcp · local package
Storage, memory and knowledge management for agents.
SQLite-backed MCP server for persistent memory, full-text retrieval, and graph traversal.
Multi-level reasoning MCP server with configurable depth levels
Indexes codebase into a local knowledge graph with 40+ AI tools and codebase-guard.
Self-hosted memory for AI agents with hybrid search, knowledge graphs, tasks, and document sync.
Memory, docs, and repo context layer for engineering agents.
Long-term memory for AI agents: local-first PKM with provenance and hybrid search.
Open-source bitemporal memory layer for LLM agents — knowledge graph with conflict resolution.
Notes, files, GitHub, and Drive through one MCP connection.
Standing infrastructure for autonomous agents, paid per use over x402. Watch the chain (wallet activity, whale transfers, price crossings, new pools on Base), watch the web (url-change monitoring with CSS-selector/regex scoping), run dead-man switches on your own agents, schedule webhooks (cron for…
HITL transaction MCP operated by GreenCore Solutions Corp. Machines lodge RFQs, terms questions, and escalations; a human reviews and answers every ticket. Data surface: mcp.cpgknowledgegraph.ai (CPG Knowledge Graph). Discovery: the GSC Carrier Fleet roots. ACM-68000 protocol; CPG-451 ESCALATE is s…
The CPG Knowledge Graph v3.2.0 powered by SPARKS: 38,350 brands · 15,495 makers · 15,688 retail banners · 3.29M points of sale. Resolved, cited answers for Beauty & Personal Care and CPG procurement agents — GTIN-first, no LLM in the request path.
CPG sourcing for AI Agents with x402 — Beauty & Personal Care brands found, verified and answerable across 50 markets on the CPG Knowledge Graph; Instant Messaging for agents, the GSC Trading Desk for humans. The fifth GSC surface: selection.
Pay-per-call web scraping for AI agents via x402 v2 on Base USDC. No signup, no API keys — agents pay autonomously per call.
Working memory for AI agents: digest-indexed episodes on a git shelf, recalled a section at a time.
Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
Recall locally stored agent memories through an MCP-compatible host.
Architectural sensor for Python codebases.
Behavioral memory layer for AI tools. Learns preferences and context across Claude, Cursor, Codex.
Git-backed long-term memory authority for AI agents via MCP.
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector