Agent Memory

A neutral memory quality-gate MCP server: save_memory, recall_memory, forget_memory over stdio.

Persistent long-term memory for Claude Desktop / Claude Code, backed by EvolutionDB.

Persistent memory for any AI — zero token cost until recall

Persistent memory layer for AI coding agents — your agent remembers what you taught it.

Persistent memory + context layer for AI dev teams. 17 tools via MCP.

One shared, durable memory for your AI coding agents — local-first, zero-dependency.

Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option

Governed memory for coding agents. Trust lifecycle, conflict detection, health scoring.

Local memory for Claude Code. Semantic recall across session history with zero API calls.

Embedded, local-first agent memory: one SQLite file per namespace, no server, no cloud.

Persistent memory for AI agents - hybrid semantic + keyword recall with autonomous consolidation

Graph-backed session memory for LLMs: checkpoint, resume, file analysis, token-savings stats.

Append-only event log for cross-agent context/memory sharing via 3 MCP tools.

Embedded, local-first memory and retrieval for AI agents. One SQLite file, no server, no API key.

Persistent memory for MCP-compatible agents: memory bank, fact cortex, dreams, graph.

Independent, reproducible benchmark harness for agent-memory backends.

Authority-weighted memory graph for AI agents with conflict detection and semantic search.

Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.

Agent memory where every fact carries a receipt, and deletion is provable.

Governed memory for AI agents (Paramind AI): conflict-checked writes, time-travel reads, ACL, audit.