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Models & MCPPlugin

causal-memory

JingxuanC/causal-memory

causal-memory is a tool for DeepSeek Harness. Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

JingxuanC/causal-memory Screenshot preview
Stars
49
Forks
3
Issues
10
Update
12 days

REVIEW SCORECARD

Review Scorecard

8.0/10Good
License compliance9.0
Engineering quality6.5
Content completeness7.0
Repository scale7.0
Maintenance activity9.0

No risk detected · Automated scan results are for reference only, not an official endorsement

PROJECT READMEREADMEExpandCollapse

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PROJECT TOPICS

Project topics

VALIDATION LADDER

Validation progress

Structure check pending
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending

FAQ

Frequently Asked Questions

What is causal-memory used for?

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

How popular is causal-memory?

causal-memory has 49 stars and 3 forks on GitHub, last updated 2026-08-26.

What license does causal-memory use?

causal-memory is distributed under the Apache-2.0 license.

Is causal-memory compatible with DeepSeek Harness?

causal-memory is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.

CLASSIFICATION EVIDENCE

Classification evidence

Project typePlugin
Feature categoryModels & MCP
Rule confidenceHigh

The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:agent-memory、causal-inference、long-term-memory、mcp、mcp-server