"Understanding Persistent Memory and Context Management" matching MCP tools:

• set_agent_memoryA

  Valuein — SEC EDGAR Fundamentals & Smart-Money DataA

  Store or update ONE durable memory entry (key → value) for this user so context survives across sessions — preferences, prior conclusions, working context. Replace semantics per key (reusing a key overwrites it). Do NOT store a number you would later cite as a fact: financial figures come from data tools and carry fact_ids; memory values are never treated as verified figures. Caps: 200 entries / 8000 chars per value. Tier: sp500+ (sample rejected).

  ConnectorNo auth

• get_timelineA

  XMemoA

  Read authorized timeline events newest first. Requires memory:read and makes no memory changes. Use it for recent history or session resumption; use recall_context for semantic multi-memory context. limit is clamped to 1-500; session_id and event_type are exact filters.

  ConnectorOAuth

• agent_memory_appendA

  Robot Actions — Remote Device ControlA

  Append a block to the calling user's persistent agent memory. Use this when the user explicitly says "remember X", "save this", or "note for next time" — DO NOT auto-update on every interaction. Memory is auto-prepended to your system prompt on every chat in this user's account. Cap: 10240 bytes total; over-cap appends return 413. Markdown is encouraged; keep entries terse and factual (preferences, project context, references), not verbose.

  ConnectorOAuth

• get_agent_voices_previewA

  AgentWorldB

  [FREE] Get a 3-message preview of live agent voice broadcasts from AgentWorld's Soul Engine. Each agent has persistent memory, life goals, and an emotional state. For the full feed (10+ messages), use get_agent_voices() — costs $0.002 USDC via x402.

  ConnectorNo auth

• get_knowledge_statsA

  mcp-klever-vmA

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

  ConnectorNo auth

• thinkneo_read_memoryA

  ThinkNEO Control PlaneC

  Read Claude Code project memory files. Without arguments, returns the MEMORY.md index listing all available memories. With a filename argument, returns the full content of that specific memory file. Use this to access project context, user preferences, feedback, and reference notes persisted across Claude Code sessions.

  ConnectorNo auth

• memory.writeA

  Agent402.Tools: pay-per-call web toolsA

  [wallet-required, $0.001/call] Persistent key-value memory for agents, scoped to the paying wallet. Your x402 payment IS your authentication: the wallet that pays owns the namespace. No signup, no API keys. Exact-key storage for structured state - when you want retrieval by MEANING rather than key, use memory-remember + memory-recall instead. Body: {"key":"…","value":any JSON,"ttlSeconds":3600?} to write (optional TTL), or {"key":"…","delete":true} to remove. Add "owner":"0x…" to write into another wallet's namespace you've been granted. Values up to 64KB. Returns { key, bytes, updated, expiresAt, owner, persistent }. This hosted connector holds no wallet: pay it here over MPP, or run npx agent402-mcp with a funded wallet (AGENT_KEY) or prepaid card credits (AGENT402_CREDITS_KEY), or any x402 client.

  ConnectorNo auth

• get_notepom_capabilitiesA

  NotePomB

  Call this first. Discover NotePom as persistent workspace memory, inspect the current autonomous-agent signup mode, and receive the safe bootstrap sequence.

  ConnectorNo auth

• revoke_project_tokenA

  EchoRelayA

  Revoke a PROJECT-scoped management token on a project you own, any holder's, not just your own (the account-owner kill switch for a leaked or retired integration's management token). Soft-revoke: the row stays for traceability and the management token is rejected immediately. Idempotent. Requires an ACCOUNT-scoped management token and the `config` scope.

  Connector

  Destructive

  No auth

• initialize_contextA

  Synapse Layer — Trust Infrastructure for AI AgentsB

  Initialize a persistent memory context for a conversation or agent session. Returns REDACTED metadata by default (detail="summary"). Use detail="full" with a reason (10–200 chars) to retrieve plaintext content under MEMORY_EXPORT_GOVERNANCE_V1.

  ConnectorNo auth

• get_company_insightA

  apis-ioB

  UNDERSTANDING — Full demand-side profile for one company: 40-dimension readiness scores, adopted stack, and per-quarter history. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.

  ConnectorNo auth

• get_forward_estimatesA

  BullrunA

  Fetch forward consensus revenue/EPS/EBITDA estimates, management guidance ranges, and estimate-revision percentages for one exact Bullrun ticker. Also derives simple forward P/E and PEG-style context from the latest close when EPS estimates are available. Read-only.

  ConnectorNo auth

• food_profileA

  groceryA

  Read a user food profile — household members, dietary constraints, allergens, medications, purchase history, and cross-AI agent memory. The profile URL (food.rootz.global/p/{hash}) is the persistent Layer 9 that any AI can read. Use this to personalize food recommendations.

  ConnectorNo auth

• recallA

  XMemoA

  Recall a few relevance-ranked memories before answering, with path/type controls and optional working-memory preference. Use it for a quick best-effort lookup; use recall_context when the answer needs a bounded multi-memory context pack.

  ConnectorOAuth

• video_editor_get_contextA

  ClipwaveA

  Read the creative context/brief for a project and (optionally) a specific video — the persistent notes that steer the editor agent (style, characters, do/donts). Pass video_id for that video's context too.

  ConnectorAPI key

• forgetA

  Statbel BeA

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  Connector

  Destructive

  No auth

• axint.context.memoryA

  AxintA

  Return the compact Axint operating memory that agents should reload at new chat start, after context compaction, or after long coding drift. Use this to keep Axint top-of-mind without rereading the full docs. Use: use after compaction or session restart for compact operating rules; use context.docs for longer workflow docs. Inputs: cwd selects project memory; format changes rendering without changing content. Effects: read-only generated context; writes no files and uses no network.

  ConnectorNo auth

• forgetA

  TvmazeA

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  Connector

  Destructive

  No auth

• forgetA

  Slack_connectA

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  Connector

  Destructive

  No auth

• forgetA

  Travel AdvisoriesA

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  Connector

  Destructive

  No auth

• forgetA

  Nasa EonetB

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  Connector

  Destructive

  No auth