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misakanet.org

MisakaNet is a searchable corpus of debugging failure-and-recovery lessons for AI agents, accessible through a remote MCP endpoint or a local BM25 search script after cloning the corpus.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

misakanet.org — 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 MisakaNet when an agent workflow needs searchable failure-and-recovery lessons, either from the shared MCP endpoint or a local corpus clone.

Who it is for

  • People configuring AI assistants to search shared troubleshooting lessons through MCP.
  • Agent developers who want to query a local clone of the lesson corpus.
  • Teams or agent workflows that can contribute resolved debugging failures as reusable reports.

Documented uses

  • Search for prior lessons related to an error or troubleshooting problem.
  • Give an MCP-capable assistant access to the shared lesson index.
  • Search a cloned lesson corpus locally with the Python script.
  • Submit a failure report so a resolved problem can become a reusable lesson.
Before you choose

Requirements & limits

The privacy page says searching and submitting an intake work without an account, email address, or API key. The install guide documents anonymous remote reads and a burst limit on the index.

  • The remote route uses MCP; the local route requires cloning the repository and running its Python search script.
  • The install command writes client-specific configuration, and restart requirements vary by assistant.
  • The project terms identify the repository and lessons as Apache-2.0 licensed.

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

Source-based practical guide

Set up MisakaNet MCP search

Add MisakaNet's MCP configuration to a supported assistant and check what the installer can reach.

Before you start

  • Node.js and npx
  • An assistant client listed in the MisakaNet install guide

Steps

  1. Run npx @misaka-net/misakanet-setup.

  2. Follow the client-specific configuration and restart guidance shown in the install guide.

  3. Run npx @misaka-net/misakanet-setup --verify.

Expected outcome

The assistant has MisakaNet MCP configuration, and the verification command reports what the installer found and could not reach.

Guide limitations

  • Configuration locations and whether a new session is needed depend on the client.
  • This setup does not document a successful search result as guaranteed.
Documentation 1 ↗
Source-based practical guide

Search a cloned lesson corpus locally

Run the documented BM25 search script against a local MisakaNet clone.

Before you start

  • Git
  • Python and pip

Steps

  1. Clone https://github.com/Ikalus1988/MisakaNet.git.

  2. Change into the MisakaNet directory.

  3. Install the package with pip install misakanet-core.

  4. Run python3 search_knowledge.py with an error query and an optional --top count.

Expected outcome

The local script searches the cloned lesson corpus for the supplied error query.

Guide limitations

  • The guide does not describe synchronization or updating the cloned corpus.
Documentation 1 ↗
Evidence and transparency

Sources & review

misakanet.org ↗Guide documentation ↗
Source record details
Source availability
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Sources checked
7 November 2026
Original website title
Misaka Network — Safe. Useful. Runs anywhere Python does. · Official homepage title · retained in its source language
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