Releases: cdeust/Cortex
v3.0.0
- feat: redesign unified graph visualization UX
- docs: update hero image alt text for v2.6.0 screenshots
- docs: update hero images with v2.6.0 unified graph screenshots
Full Changelog: v2.6.0...v3.0.0
v2.6.0
- fix: add HF model cache to release workflow
- fix: add sentence-transformers and networkx to dev deps for CI
- fix: move model pre-download after pip install, allow soft failure
- fix: cache HuggingFace model in CI to prevent download failures
- fix: ruff format http_standalone.py
- release: v2.6.0 — remove memory dashboard, global memory dedup fix, cleanup
Full Changelog: v2.5.5...v2.6.0
v2.5.2
- release: v2.5.2 — schema resilience, lint fixes, all backends aligned
- fix: ruff format + remove unused variable to pass CI lint
- fix: consistent per-statement schema init across PG, SQLite, and Docker
- feat: add cortex-remember-global and cortex-recall-global skills
- feat: global memories — cross-project knowledge with auto-detection and visualization
- fix: split DDL into individual statements to prevent cascading schema failures
Full Changelog: v2.5.1...v2.5.2
v2.5.1
- release: v2.5.1 — version bump (2.5.0 tarball burned on PyPI)
Full Changelog: v2.5.0...v2.5.1
v2.5.0
- fix: align package.json and safeskill-report.json to v2.5.0
- release: v2.5.0
- fix: 5 user-reported bugs — path validation, hierarchical recall, causal chain, narrative, seed
- fix: persistent memory across Docker container restarts
- fix: use shields.io badge for SafeSkill — their badge API is broken
- fix: SafeSkill badge uses dynamic API from published npm package
- fix: Docker entrypoint registers MCP in .claude.json, strips host config
- fix: badge links to local SafeSkill report
- docs: add SafeSkill 94/100 scan report, remove stale badge link
- fix: add minimal package.json for SafeSkill scanner, update badge to 94/100
- fix: remove legacy Node.js files flagged by SafeSkill security scan
- Merge pull request #2 from OyaAIProd/safeskill-scan-1774780323456
- Add SafeSkill security badge (80/100)
- fix: Docker runs Claude Code inside container with stdio MCP (no HTTP bridge)
What's Changed
- Add SafeSkill security badge (80/100 — Passes with Notes) by @OyaAIProd in #2
New Contributors
- @OyaAIProd made their first contribution in #2
Full Changelog: v2.4.1...v2.5.0
v2.4.1 — Fix UI path resolution for plugin installs
- fix: release workflow installs postgresql extras for test isolation
- release: v2.4.1 — fix UI path resolution for uv/plugin installs
- fix: UI files not found when installed via uv plugin cache
- docs: add Docker install path to README, update plugin descriptions
- feat: Docker image with PostgreSQL, pgvector, and Claude Code CLI
- fix: bundle UI in wheel, standalone HTTP servers survive MCP shutdown (v2.4.0)
Full Changelog: v2.3.0...v2.4.1
v2.4.0
What's Changed
Bug Fixes
-
UI files bundled in package —
memory-dashboard.html,unified-viz.html, andmethodology-viz.htmlwere missing from pip/uv installs. Added hatchforce-includeto bundleui/into the wheel, plusget_ui_root()to resolve both package and dev layouts. -
Visualization servers survive session end — HTTP servers previously ran as daemon threads inside the MCP process and died when Claude's session ended, leaving a dead browser page. Now spawn as detached subprocesses (
start_new_session=True) with their own DB connections and 10-minute idle self-termination. No human intervention needed — call the tool, browser opens, server stays alive. -
Tree-sitter fallback hardened —
ast_parsernow gracefully falls back to regex parsing whentree-sitter-language-packis not installed, instead of crashing withModuleNotFoundError.
Testing
- Removed all test skips — tests adapt to available dependencies (tree-sitter, networkx, PostgreSQL) instead of skipping
- Fixed test isolation — stats and checkpoint tests no longer assume empty DB, spell benchmark tests fall back to direct store queries when semantic recall is unavailable
- All CI jobs passing on Python 3.10–3.13
v2.3.0 — Codebase Intelligence + SQLite Fallback
What's New
Codebase Intelligence (replaces GitNexus)
Index your codebase directly into Cortex memory — no external tools needed.
codebase_analyze(directory="/path/to/project")
- Tree-sitter AST parsing for Python, TypeScript, Go, Swift, Rust (regex fallback)
- Cross-file import resolution — resolves module names to actual files
- Type-reference resolution — for Swift/Go implicit cross-file type usage
- Class-method binding — methods scoped to parent class
- Inheritance tracking — extends edges in the knowledge graph
- Community detection — Louvain clustering via networkx
- Impact analysis — upstream/downstream BFS
- Incremental — SHA-256 hash, only re-processes changed files
- Works on both PostgreSQL and SQLite (Cowork compatible)
Pipeline → Memory Integration
Pipeline events flow back to Cortex memory. Each stage stores observations with structured tags for cross-session recall.
SQLite Fallback
Cortex runs in sandboxed environments without PostgreSQL. SQLite + sqlite-vec provides the same API with automatic fallback.
Spell Alteration Benchmark
Needle-in-a-haystack: ingest 1.5M tokens as 3000+ memories, replace 2 terms, test detection.
- Test A: Spot fakes in 3372 memories — PASS
- Test B: Compare original vs altered, identify correct pairing — PASS
Stats
- 35 MCP tools (+1 codebase_analyze)
- 2000+ tests passing across Python 3.10-3.13
- 7 benchmarks
Install
```bash
claude plugin marketplace add cdeust/Cortex
claude plugin install cortex
```
Optional:
```bash
pip install neuro-cortex-memory[codebase] # tree-sitter + networkx
pip install neuro-cortex-memory[postgresql] # psycopg + pgvector
```
v2.1.0
Full Changelog: https://github.com/cdeust/Cortex/commits/v2.1.0