Smart-AI-Memory/empathy-framework

v4.9.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 4mo AI Coding Tools

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

ai ai-collaboration anthropic anticipatory-ai artificial-intelligence claude-code

+12 more

code-analysis debugging developer-productivity developer-tools developer-tools-monorepo fair-source healthcare-ai large-language-models llm memdocs python testing

Summary

AI summary

Parallel and incremental scanning combined with Redis two‑tier caching yields up to 18x faster typical workflow execution.

Full changelog

🚀 Performance & Memory Optimization Release

This release combines Phase 2 optimizations (Redis caching, memory efficiency) with scanner improvements (parallel processing, incremental updates) and improved command navigation with natural language routing.

Major Improvements

Performance

Parallel scanning: 2-4x faster multi-core file analysis
Incremental scanning: 10x faster for changed files
Redis two-tier caching: 2x faster memory operations
Generator expressions: 99.9% memory reduction
Combined workflow: 18x faster for typical usage

Command Navigation

Split /workflow into /workflows and /plan hubs
Natural language routing: "find bugs" → bug-predict
Improved help system with better categorization

Documentation

Comprehensive optimization guides
Performance benchmarks
Scanner usage examples

Performance Benchmarks

Scanner Performance (3,472 files):
| Configuration | Time | Speedup |
|---------------|------|---------|
| Sequential | 3.59s | 1.00x |
| Parallel | 1.84s | 1.95x |
| Optimized | 0.98s | 3.65x |

Redis Operations:

Cached operations: 37ms → 0.001ms (37,000x faster)
Expected hit rate: 66%+

Known Issues

6 test failures (99.9% pass rate: 7,168/7,174)
Does not affect production functionality

Full Changelog

See CHANGELOG.md for complete details.

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About Smart-AI-Memory/empathy-framework

Five-level AI collaboration system with persistent memory and anticipatory capabilities. MCP-native integration for Claude and other LLMs with local-first architecture via MemDocs.

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