Memori Labs
PulseGate's liveness check found it on 8 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 29 Jun 2026. How this is checked
Memori Labs provides an agent-native memory infrastructure designed for production AI systems. The platform offers a layer that is agnostic to large language models (LLMs), enabling agent execution and conversations to be transformed into structured, persistent state. This infrastructure is intended to help AI agents and their developers capture, organize, and recall information from interactions and documents efficiently, without the need for additional external services.
Inferred · not functionally tested
Overview
6 featuresPurpose: Persisting and structuring conversational memory for AI agents in production systems.
Inferred · not functionally tested
Audience: AI developers
Inferred · not functionally tested
Functions: rag, agents
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: paid · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, cloud_managed, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: memorilabs.ai · github.com. These links do not verify the individual claims.
Memori Labs sits in PulseGate's Memory & skills category. Inferred · not functionally tested: It focuses on persisting and structuring conversational memory for AI agents in production systems. Inferred · not functionally tested: It is built as a B2B product for AI developers. Basis unknown · not verified: Memori Labs is paid. Basis unknown · not verified: Memori Labs is available on the web, the command line, and API.
Memori Labs first shipped in 2025. Development happens publicly on GitHub with 15.5k stars and 163 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are semantic search, targeted recall, and fact extraction. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Semantic search
- Targeted recall
- Fact extraction
- Preference storage
- Rule management
- Conversation memory
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- Next.js
- /_next/static/ in the HTML · __next_f in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about Memori Labs
- What does Memori Labs do?
- Inferred · not functionally tested: Memori Labs focuses on persisting and structuring conversational memory for AI agents in production systems. It is catalogued under Memory & skills on PulseGate.
- Who should use Memori Labs?
- Inferred · not functionally tested: Memori Labs is a B2B product built for AI developers.
- Does Memori Labs have a free plan?
- Basis unknown · not verified: No — Memori Labs is paid.
- What platforms does Memori Labs run on?
- Basis unknown · not verified: Memori Labs runs on the web, the command line, and API.
- Is Memori Labs still active?
- PulseGate's liveness check found it on 8 Oct 2026. Its GitHub repository shows 163 commits in the last 90 days.
- What are alternatives to Memori Labs?
- Similar projects tracked by PulseGate include memor, Memra, and AgentMem.memorMemraAgentMem
- How long has Memori Labs been around?
- Memori Labs first shipped in 2025.
- Is Memori Labs open source?
- Basis unknown · not verified: Memori Labs has a public GitHub repository.
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