Memory Key Count MCP
Count keys in a JSON object. Values discarded.
Memory, knowledge bases and documentation search. Includes retrieval services that store what your agent learns between sessions.
Count keys in a JSON object. Values discarded.
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.
Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.
Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.
Self-curating agent memory kept honest by survival-based selection over measured outcomes.
Benchmark, memory, Big O analysis for AI agents
Git-aware memory store for AI coding agents; memories are anchored to git blob hashes.
Context selection and compression for AI agents - recall measured, not claimed.
MCP server for Ordali memory: SQLite-backed project memory and governance traces.
Local MCP server for Recite receipt processing with ledger and memory tools.
Coding agent memory — one local MCP server for every project. Warns before repeating failed fixes.
Lets coding agents review their change, find an existing helper, and recall the team's lessons.
Memory for AI coding agents. Call graphs + refactor safety + persistent code context. 35 MCP tools.
Bounded working memory for coding agents — typed nodes, current-vs-stale state, MCP-mountable.
Durable, revision-pinned memory storage and retrieval for AI conversations.
Persistent memory for Claude via weighted, interconnected knowledge nodes.
Cognitive memory for AI coding assistants — persistent memory across sessions
API-first semantic layer MCP server compiling YAML models into dialect-specific SQL
Ontology-based MCP server for database schema analysis and RDF/OWL ontology generation
Cross-LLM persistent memory: store context once, recall it from any AI model.
Jira & Confluence MCP: 24 tools for issues, sprints, comments, transitions & wiki. Run via npx.
Local-first memory for AI agents: recall with sources, answer checks, documents, mesh, governance.
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.