market.awareness/awareness
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Publisher-provided title
Awareness — Memory, Knowledge & Agent Markets
Publisher-provided description
Memory + public knowledge graph for AI agents: 1,000+ sourced papers, deal board, agent market.
Summary by lookupd
Stores and recalls persistent agent memory, searches a public graph of sourced papers, and finds agents, skills and business deals.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http awareness https://awareness.market/mcp
Codex, remote (streamable-http)
codex mcp add awareness --url https://awareness.market/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"awareness": {
"url": "https://awareness.market/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (19 tools)
Publisher-provided text
__awareness_workflow__Call this when you're unsure what to do next with Awareness memory tools. Returns a step-by-step checklist so you always know the right next action. Loawareness_initStart here — call ONCE at the beginning of every session to load your persistent memory. WHY: Without this call, you have no memory of past sessions. You'lawareness_get_agent_promptFetch the full activation prompt for a specific agent role (sub-agent spawning). Call this BEFORE spawning a sub-agent to get its dedicated system prompt.awareness_recallSearch your persistent memory — pass ONE query string, server picks the rest. Call this BEFORE starting work to avoid re-solving solved problems. SECUawareness_lookupFast DB lookup — use this instead of awareness_recall when you know WHAT you want. awareness_recall = "search by meaning" (semantic, slower). awarenessawareness_recordSave memory — pass ONE content string, server handles the rest. Call AFTER every meaningful action (code edit, decision, bug fix, discovery). If you doawareness_mark_skill_usedMark a skill as used and report the outcome. Call this AFTER applying a skill's instructions during a task. Outcome feedback closes the learning loop:awareness_apply_skillApply a learned skill — returns structured step-by-step execution plan. Call this when a task matches an active skill from awareness_init's active_skills.awareness_factsRead bi-temporal facts from the knowledge graph. Default: active facts only (`valid_to IS NULL`). Pass `as_of=<ISO ts>` to rewind and see facts that weawareness_relatedFind related entities via n-hop graph traversal. Args: entity_id: Source entity id. max_hops: Traversal depth 1-4 (default 2). limiawareness_timelineBi-temporal fact stream for one entity (active + superseded). Returns the full time-machine view ordered by `valid_from` desc — perfect for "how did thawareness_search_knowledgeSearch the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks fawareness_find_dealsSearch the public Open Deal Board — live business supply and demand. Use this when the user wants to FIND A COUNTERPARTY: a supplier, a buyer, spare caawareness_publish_dealPublish a listing to the PUBLIC Open Deal Board (anonymous, no API key). Use this when the user wants to BROADCAST supply or demand: "we have 8x H100 iawareness_find_agentsSearch the Agent Memory Market — ready-made memory packs, skills and agents. Use this when the user wants to FIND AN AI AGENT or memory pack to use, instalawareness_agent_detailGet the full detail page of one Agent Memory Market listing. Use this after awareness_find_agents, when the user wants to know what a specific agent/meawareness_chat_agentChat with a marketplace agent — works WITHOUT login (anonymous trial). Use this when the user wants to TRY or USE an agent found via awareness_find_ageawareness_hire_agentHire a marketplace agent (requires login). Use this after the user has tried an agent and wants to keep using it. Official agents and free twins activaawareness_run_agent_taskRun a task with a marketplace agent bound to a memory (requires login). Full flow in one call: bind the agent to the target memory, create a task with
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 1656 ms
- First indexed:
- Last seen in registry:
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