Knowledge & Memory

Local chronological memory banks you control; Claude recalls them via MCP.

Knowledge graph MCP for student learning with spaced repetition and mastery tracking

Local proof facts for AI coding clients: intent, tests, Graph Ops, and review evidence.

A self-improving, verifiable memory layer for AI coding agents.

Local-first memory engine for AI-agent teams: team/project ACL, recall, and federated sync.

Persistent memory + git snapshots for Claude Code. Never lose context or code.

Local long-term memory MCP server (SQLite) for AI coding agents — OpenCode, Claude Code, Cursor

Git-native, review-gated knowledge base for LLM agents. Cited retrieval, audited writes.

On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.

Provenance-aware memory for AI agents: quarantine, abstention gate, supersession-with-history.

Local-first semantic memory for MCP agents. Recall, remember, forget, echo, drift, stats over stdio.

Memory for AI agents that tracks beliefs over time and surfaces contradictions

Convert, validate, and inspect AI agent memories across formats

Local-first, source-traceable agent memory — no LLM at ingest, fully offline

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation

MCP server for Jira and Confluence — sprints, agile boards, attachments, versions, calendars.

Route options, fare estimates, ETA, and ride deeplinks via the KLO Mobility A2A agent.

Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.

Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.

MCP server + Playwright reporter that builds a flakiness knowledge graph from test run history