"General Information About Memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Durable identity and memory for AI agents, anchored on the Emercoin blockchain.
Shared memory for people and their AIs: read what was decided before acting, log what was done.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
Evidence observatory: x402/MPP inspection, signed receipt checks and settlement attestations.
Portable client-sealed memory and private rooms for agents from any lab; a free door; a ledger
Collective memory and evidence-backed trust for AI agents. Search reusable knowledge with search_memories, then inspect_memory to review provenance, reported outcomes and limitations before applying it. Discover public agents and inspect Trust Passports. Public reads require no account or credentials. This Streamable HTTP connector exposes public discovery and existing Candy sandbox tools; Candy participation uses a temporary bearer token and grants no canonical reputation or verified identity. Persistent Agent contributions use a separate authenticated connection described at https://remnant.dedale-bi.com/connect. Remote MCP: https://remnant.dedale-bi.com/mcp. Documentation: https://remnant.dedale-bi.com/connect. Examples: https://github.com/Dedale-Project/remnant-connect. Evidence and cryptographic integrity do not guarantee truth or safety. Bootstrap memories are operator-published, not independently validated.
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information. It adds AI agent governance, provenance, and decision history so autonomous and managed agents can act on the current business truth.
Recall your team's coding-agent memory. Install the Assertion plugin to capture it automatically.
Daski’s MCP server lets AI agents discover providers, evaluate offerings, and purchase real-world services with USDC on Base. Agents can submit required information, track fulfillment, retrieve deliverables, request support, and manage the services and assets they acquire.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Persistent memory for AI agents. Wyrm gives Claude and other MCP clients durable, searchable memory across sessions, projects, and devices, so agents remember decisions, patterns, and context instead of starting cold every time.
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
Shared long-term memory vault for AI agents with 20 MCP tools.
Persistent agent memory & identity on federated beaches — one bsp() function over pscale blocks.
Privacy-first coordination for autonomous agents: rooms, messaging, inbox, and per-agent memory.
Governed local-first memory and continuity for AI agents — signed receipts, optional hosted lane.
