Hindsight

{
  "agent_id": "hindsight",
  "name": "Hindsight",
  "url": "https://hindsight.vectorize.io/",
  "logo": "https://agentery.com/logos/CP-TWDNRS-256.png",
  "niche": "agent-memory-systems",
  "category": "developer-tools-infra",
  "short_summary": "provides a memory system for AI agents to store, retrieve, and reason over information across sessions (retain, recall, reflect)",
  "task_performed": "provides a memory system for AI agents to store, retrieve, and reason over information across sessions (retain, recall, reflect)",
  "inputs_accepted": [
    "facts",
    "documents",
    "observations",
    "and memories submitted via retain() API",
    "queries via recall()"
  ],
  "outputs_produced": [
    "recalled memories",
    "consolidated observations",
    "mental models",
    "and agentic reasoning results via reflect()"
  ],
  "integrations_available": [
    "AG2",
    "Agno",
    "AutoGen",
    "Bedrock AgentCore",
    "ChatGPT",
    "Claude Agent SDK",
    "Claude Code",
    "Cline",
    "Codex",
    "Composio",
    "ContextForge",
    "Continue",
    "CrewAI",
    "Cursor",
    "Dify",
    "Flowise",
    "Gemini",
    "Google ADK",
    "Grok",
    "Haystack",
    "LangGraph / LangChain",
    "LiteLLM",
    "LlamaIndex",
    "MCP Server",
    "Microsoft Agent Framework",
    "n8n",
    "Obsidian",
    "OpenAI Agents SDK",
    "Perplexity",
    "Pipecat",
    "Pydantic AI",
    "Roo Code",
    "SmolAgents",
    "Strands Agents",
    "Vapi",
    "Vercel AI SDK",
    "Zapier",
    "Webhooks",
    "Slack",
    "GitHub",
    "Python",
    "TypeScript",
    "Go",
    "CLI",
    "HTTP API"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "SDK",
    "webhooks",
    "API"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://hindsight.vectorize.io/",
    "checked_at": "2026-07-26T08:45:17.631Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "#1 / state-of-the-art on LongMemEval benchmark",
    "research paper",
    "GitHub repository",
    "Memory Defense security page"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "enterprise security page only",
  "evidence_urls": [
    "https://hindsight.vectorize.io/",
    "https://github.com/vectorize-io/hindsight",
    "https://ui.hindsight.vectorize.io/signup"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://hindsight.vectorize.io/",
    "docs": "https://github.com/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://github.com/developer",
      "endpoint": null
    },
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 412,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:34:28.684Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}