镜我 Memexa

Purpose: Preserving and retrieving reliable context across fragmented work sources so AI agents can continue tasks without losing history or evidence.

Inferred · not functionally tested

Audience: developers and knowledge workers using AI agents

Inferred · not functionally tested

Functions: rag, agents, data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: unknown · license: Apache-2.0 · platforms: API, CLI, WEB · deployment: browser, cli, cloud_managed, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: memexa.cn · github.com. These links do not verify the individual claims.

镜我 Memexa sits in PulseGate's Memory & skills category. Inferred · not functionally tested: It focuses on preserving and retrieving reliable context across fragmented work sources so AI agents can continue tasks without losing history or evidence. Inferred · not functionally tested: It is built as a B2B product for developers and knowledge workers using AI agents. Basis unknown · not verified: It runs on the web, the command line, and API.

It is developed by labazhou2024 (China), and it first shipped in 2026. The project is developed in the open on GitHub with 58 stars and 18 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are source evidence, decision history, and task status. Inferred · not functionally tested: Catalogued interfaces include a public API. 镜我 Memexa is currently in beta.

Summary written by a language model from the project’s public pages.