OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Agent Memory & RAG

Memsearch

A Python-based semantic memory layer for AI coding agents, backed by Markdown storage and Milvus indexing.

Independent OpenViST project profile, based on linked sources.

Memsearch — OpenViST project profile in Agent Memory & RAG.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Memsearch when coding-agent work needs searchable context that persists across sessions or can be shared across supported agent platforms.

Who it is for

  • AI coding-agent users who need persistent context across sessions
  • Agent developers building memory and retrieval into their own systems
  • Teams working across supported coding-agent environments

Documented uses

  • Capture conversation-based memories automatically
  • Search and recall prior agent context
  • Inject relevant memory before agent steps
  • Maintain durable project and user notes
  • Browse and manage agent-maintained memory
Before you choose

Requirements & limits

The repository is public and lists an MIT license.

  • Markdown is the source of truth, while Milvus serves as a derived, rebuildable shadow index.
  • Retrieval combines dense vector search, BM25 sparse search, and reciprocal-rank fusion.
  • The project documents plugins for Claude Code, Codex, DeepSeek Harness, OpenClaw, and OpenCode.
  • Optional Jev remote reranking is available through the TypeSafe API without downloading a local model.
  • Developers can use the documented CLI and Python API rather than only the platform plugins.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
MemsearchCapture conversation-based memories automaticallyCLI, Cloud, Self-hostedThe repository is public and lists an MIT license. The supplied evidence does not document pricing or account requirements.
Continuum — pouyahasanamrejiStore project lessons so coding agents can retrieve them across conversations.CLI, Self-hosted, ServerThe repository documents local Docker Compose and bare-metal development setups. Bare-metal startup requires Node 22.12.0 or later and pnpm 10.33 or later; the Compose path skips these host prerequisites.
HaftRecord the problem a project is solving and the options considered.CLI, Self-hosted
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
zilliztech/memsearch · Official homepage title · retained in its source language
How we review sourcesSuggest a correction