MisakaNet: A Git-Backed Failure-Memory Plugin for DeepSeek Harness
ikalus1988/misakanet
A git-backed failure-memory library for DSH plugin, letting AI agents instantly search verified debugging lessons with zero dependencies.
Provides a Git-backed failure-memory library for DeepSeek Harness, enabling AI agents to quickly search and share debugging experience, reducing repeated troubleshooting.
dsh plugin --profile web add github:ikalus1988/misakanet- Category
- Data & Knowledge
- Platform
- DSH-Plugin
- Author
- ikalus1988
- Distribution
- Plugin
misakanet Key Features
misakanet Repository
misakanet Repo Summary
MisakaNet is a DeepSeek Harness (DSH) plugin, a git-backed failure-memory library for AI coding agents to asynchronously share and search verified debugging experience. It solves the problem of agents repeatedly hitting the same errors without historical context, allowing you to paste an error and search 289 lessons to get a fix path, with no prompt leaking and no raw logs stored. Core capabilities include zero-dependency BM25 keyword search, Git version control, MCP server support, and a recovery adapter specifically for DeepSeek Harness. The project is maintained by Ikalus1988, licensed under Apache-2.0, last updated in 2026-08, with 388 stars and 155 forks.
What core features does the MisakaNet DSH plugin support?
MisakaNet offers three core features: a Git-based failure-memory library for asynchronous sharing and searching of debugging experience; zero-dependency BM25 keyword search without vector databases or RAG systems; and MCP server integration for seamless connection to AI agents. Additionally, v2.17.0 introduces Lesson Lint automated quality checks, competitive analysis, security hardening (such as MCP path traversal fix, XSS escaping, email redaction), and mobile-responsive design.
How to install and configure MisakaNet?
Installing MisakaNet as a DSH plugin is straightforward. Run the following command in your terminal:
dsh plugin --profile web add github:ikalus1988/misakanet
After configuration, you can connect the MCP server to your agent or use the CLI script for searching. For example, run python3 scripts/misakanet_cli.py smoke to verify the installation, or use python3 scripts/mcp_server.py to start the MCP server.
How to search and contribute debugging experience with MisakaNet?
To search for failure experience, simply run python3 search_knowledge.py "your error here" to quickly retrieve relevant lessons from the local database. If nothing is found, you can submit a 5-line failure note via GitHub Issues to help enrich the lesson library. The project encourages contributions, and CONTRIBUTING.md provides detailed code style guidelines and contribution processes.
Which DeepSeek Harness versions and platforms are compatible with MisakaNet?
MisakaNet is developed with Python 3.10+ and is compatible with the DeepSeek Harness framework, providing a dedicated recovery adapter script mcp_deepseek_adapter.py for seamless integration. It supports local Git clone execution as well as remote MCP and Docker deployments, making it suitable for various platforms.
What is the license and community status of MisakaNet?
The project is licensed under Apache-2.0, maintained by Ikalus1988, with the official website at misakanet.org. Since its creation on 2026-04-29, it has gained 388 stars and 155 forks, with an active community and 25 open issues. It was last updated on 2026-08-16, showing continuous iteration.