by putervision
Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.
npm:@putervision/state-memory-mcp · local package9.3k/wkpublished 1 mo ago
Storage, memory and knowledge management for agents.
Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.
Persistent 3D/2D spatial world model for AI agents with dynamic velocity and entity tracking.
Your team's shared memory for coding agents: a code map on your machine, and the learnings, decisions and skills your whole team shares. Formerly graft.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
Universal memory system for AI agents - CLI + MCP server + library API
Code graph MCP: 81 languages, 91 frameworks, 72.7% fewer PR-review tokens, comprehension at parity
A personality layer for any agent: continuity, forgetting, and growth across tools.
Remnic MCP connector for Replit Agent — setup instructions for an existing token
hAIve MCP server - policy-aware briefing and memory tools for coding-agent harnesses
Model Context Protocol server for FalkorDB graph databases - enables AI assistants to query and manage graph data using natural language
Remnic memory extension for Pi Coding Agent
Solve it once. From then on, your AI knows. Experience for coding agents, hosted in the EU.
Knowledge layer for AI agents - CLI, MCP server, and data layer
A Model Context Protocol server for generating charts using AntV.
The Runpod plugin's skills, reference docs, golden paths and concept graph as one JSON bundle, for programs such as the Runpod MCP server
Self-hosted semantic code search MCP for Claude Code & Cursor. Multi-repo, AST-aware, stays local.
venira-mcp — a standalone Model Context Protocol (MCP) server that gives coding agents (OpenCode, Claude Desktop, any MCP client) 44 workspace-scoped tools: file read/write/edit/delete, batch reads, line-range reads, content search, recent files, code int
Production-grade AI coding toolkit — 70 agents (incl. devil-mode adversarial crew), 196 skills, 103 commands, parallel multi-agent commands, semantic intent routing, self-learning memory, and a built-in MCP server (16 tools / 6 prompts / 377 resources) th
Code Intelligence MCP Server — multi-agent SDLC pipeline with semantic memory, code graph, and draw.io integration
跨会话跨项目本地记忆 MCP server — flexsearch BM25 + TF-IDF 三路混合检索，双时钟事实管理，自动 Hook 链路。零 native 依赖，纯 Markdown vault。