Confdiff Mcp MCP
Semantic, format-aware diff of config files (JSON/YAML/TOML/INI/.env/XML/CSV) for AI agents
Memory, knowledge bases and documentation search. Includes retrieval services that store what your agent learns between sessions.
Semantic, format-aware diff of config files (JSON/YAML/TOML/INI/.env/XML/CSV) for AI agents
Tasks, comments, shared memory and handoffs for teams of people and AI agents, over MCP.
Verified memory for coding agents: briefed before each task, proven by checks, gated on change.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Git for your AI's context: local-first, deterministic memory over MCP. An elephant never forgets.
File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB.
Reasoning, code, anti-deception, memory harness MCP tools. Stdio or HTTPS api.ejentum.com/mcp
Java profiling with AI agent integration. Profile CPU, memory, JDBC, HTTP and more.
Sovereign Agent OS — Persistent Memory, Governance & Compliance for AI Agents.
A repository wiki of Markdown pages anchored to real code: read, search, and verified writes.
Read-only MCP bridge for alethech — verifiable, Ed25519-signed agent memory over stdio.
Bitemporal memory for AI agents with point-in-time recall and tamper-evident audit history.
Coordination server for parallel coding agents: claims, contracts, notices, and memory notes.
Procedure verification for AR/XR with memory, visual sessions, and DPO trajectory export.
Shared memory router for AI agents: save/search/recall, session-start injection, review inbox.
PMLL Memory MCP — persistent KV context memory and Q-promise deduplication.
Associative key-graph memory for LLM agents — recall by association, not vector similarity.
Local-first, source-cited memory for AI agents with proposal review, failure memory, and MCP tools.
uxspot.io UX reference: glossary, AI x UX tools directory, checklists and Learn UX curriculum
Ask your own documents with citations, plus durable memory for agents. Safe by default.
A claims memory for agents: assert beliefs, let them decay, surface contradictions.
Long-term memory for agentic tasks. It tells you when it doesn't know.
AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening
Memory for AI agents: a data bank of MTSV relations, read through one tool.