Hindsight
UntestedHindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Install
No auto-install command available for this server.
Check the GitHub repository for setup instructionsSafety Report
details
Requires LLM API key (OpenAI, Anthropic, Gemini, etc.) as environment variable. External API credentials must be managed carefully.
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Local library/SDK usage. CORS not applicable.
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Inherits rate limits of underlying LLM provider. No additional throttling documented.
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No known CVEs identified. Small project with limited security review history.
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Available via pip and npm. No published security audit or SBOM found.
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Dangerous patterns detected: eval_call
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MIT License.
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Open source on GitHub (vectorize-io/hindsight). MIT licensed.
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Maintained by Vectorize.io team. Activity level and release cadence not deeply verified.
Compatibility
Tools Provided (3)
retain Store information or context into persistent memory banks for later retrieval.
recall Search and retrieve stored memories using parallel search strategies across memory banks.
reflect Analyze existing memories to generate insights, summaries, or derived knowledge.
Frequently Asked Questions
What is Hindsight?
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
What tools does Hindsight provide?
Hindsight provides 3 tools including retain, recall, reflect. Each tool can be called by AI agents to perform specific operations.
Is Hindsight safe to use?
Hindsight has not yet been security scanned. We recommend reviewing the source code and safety report before use.
What are alternatives to Hindsight?
Similar MCP servers include Context7, Cognee, Basic Memory. Each serves a similar purpose but may differ in features, language, and compatibility.
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