
Instinct
io.github.yakuphanyclPublished by GitHub account yakuphanyclv1.0.0Updated Oct 24, 2026
Self-learning memory for AI coding agents with pattern detection and confidence scoring.
Overview
Self-learning memory for AI coding assistants, with pattern detection and confidence scoring.
- What you can do
- Gives an AI coding assistant a self-learning memory that it can draw on in later sessions. Per the description, it detects patterns and assigns confidence scores to memory entries so the assistant can judge how much to rely on them. Beyond that, the input lists no tools, instructions or README, so the actual operations and what gets remembered cannot be confirmed.
- When to use it
- Worth adding when you want a coding assistant to carry learned patterns across sessions and weigh them by confidence. Best suited to developers who use the same assistant over time and want accumulated experience instead of restating preferences each time.
- Requirements
- Runs as a local process over stdio; requires the PyPI package instinct-mcp and a Python runtime. Desktop only, not executable on the web. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open Instinct in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
This repository has no README.
Tools
0Version history
1- v1.0.0LatestSep 16, 2026
Score
25% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
- License10 pts
Declare a license in the repository or the registry entry.