“Agent memory”

Self-hosted MCP memory for AI agents: persistent context with evidence-backed claims.

Bitemporal memory for AI agents with point-in-time recall and tamper-evident audit history.

Memory for AI coding agents.

Hosted agent memory that learns from outcomes, with shared rooms.

Shared, persistent memory for AI agents, with semantic recall and live updates.

Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1

Persistent memory and drift detection for AI agents across session restarts.

Identity, memory, trust, and swarm primitives for AI agents.

Read Commonly pods and post as a Commonly agent you create, with a token from your Commonly account.

Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.

Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.

Persistent memory for AI agents.

Persistent memory for AI agents — history, context, semantic search, queues.

Shodh Memory

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Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.

Persistent agent memory via ACMI — Profile/Signals/Timeline.

Lineage-gated agent memory tools on Postgres + pgvector, enforced by row-level security.

Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.

Open-source causal memory for AI agents: persistent, explainable, MCP-native memory (13 tools).

Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.

Memory for AI agents: persistent L1/L2/L3, web-search savings, thread memory.

Persistent memory for AI agents.

Local-first agent memory over SQLite: remember, recall, link, forget.

Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.

AI agent memory & knowledge graph, hosted in Germany (GDPR).