Knowledge & Memory

An MCP server that provides visual memory and context storage with knowledge graph capabilities

Persistent coding memory for AI assistants. MCP stdio, hybrid search, graph, context.

Local knowledge graph memory MCP server for AI assistants.

Neo4j MCP Canary — The canary goes first so the rest of us know what's coming

Token-efficient code review knowledge graph: semantic search and call-graph resolution.

Shared workspace your AI agent writes to. 184 tools, persistent memory, semantic search.

Local-first durable AI memory with policy-bound recall and a typed project graph.

Review gate for shared agent memory: an unreviewed or hand-edited memory is never served.

Persistent cross-project memory for Cursor and Claude Code using local semantic search.

Project knowledge graph with history-checked belief staleness, changeset proposals, cost reporting

Cooperative persistent memory for LLMs: episodes, memories and traits over SQLite (FTS5, Hebbian)

Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.

Recall, check, search, timeline, and graph tools for fiction writers via Seizn Memory v3.

Deterministic layered code graph MCP server with framework overlays and SCIP interop.

Deterministic, token-minimal agent memory: multi-hop [[wikilink]] recall with no LLM in the loop.

Stop vibecoding blind. Code graph so your AI stops breaking things across your codebase.

Self-hosted operating layer for AI agents: knowledge, continuity, coordination, and governance.

Local semantic code search with Git history. Works offline, no API key needed.

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.