Mnema MCP
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
Memory, knowledge bases and documentation search. Includes retrieval services that store what your agent learns between sessions.
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
Build, run and publish Workbench flows, tasks, shims and knowledge bases.
Agent memory: working, episodic, semantic, procedural and core layers. Local SQLite, no account.
A growing notebook shared by every AI you use. Save in conversation, recall from any connected AI.
Persistent personal memory for AI assistants — save, search, and recall across every MCP client.
Evidence-backed follow-through memory for what you owe, await, and need to remember.
Free equipment tools: cost per hour, repair vs replace, compliance, VIN, recalls, manuals.
Connect any AI agent to your Synchronex workspace — portable memory, decisions, and workers.
Persistent AI memory with semantic search, conflict detection, and ticketing.
Agent memory that refuses to guess: evidence-gated recall, exact-source reads, verifiable deletion.
Manage Speko voice-AI agents, sessions, calls, phone numbers, knowledge bases, evals, and docs.
Connect to your MediaWiki using simple credentials and manage content without OAuth. Search, read,…
Generate friendly greetings for any audience. Toggle Pirate Mode for a playful, swashbuckling styl…
A MCP server built for developers enabling Git based project management with project and personal…
Enable Large Language Model clients to interact seamlessly with any MediaWiki wiki. Perform action…
Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
Answer security questionnaires and RFPs from your AI knowledge base.
Graph memory for AI agents: entities, cause-effect links, cross-session recall, time travel.
Hosted runtime for persistent agent teams, durable workflows, memory, schedules, and goals.
Governed personal world model and memory for your AI agent. Pair once, connect over MCP.
Cross-model memory for people and teams: one memory every AI you use loads at session start.
Linked team workspace: AI agents read and write docs, wikis, sheets, diagrams, boards and reviews.
Shared project memory that keeps teammates and AI agents aligned across sessions.