Cortex

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 6 GitHub stars
Code Gecti
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This MCP server provides a persistent knowledge system for AI agents, utilizing an OWL-RL ontology, SPARQL graph, and SQLite to capture, reason, and retrieve information.

Security Assessment
Overall risk: Low. The light code audit found no dangerous patterns, hardcoded secrets, or requests for dangerous system permissions. The tool is designed to store data locally and requires an external LLM API key (e.g., Anthropic) to function, which is saved in a local configuration file (`~/.cortex/.env`). Users should be aware that it makes external network requests to the configured LLM provider. No unexpected shell executions or suspicious data exfiltration behaviors were detected.

Quality Assessment
The project is actively maintained (last updated today) and distributed under the permissive MIT license. It appears well-documented with clear setup instructions and offers multiple installation methods, including PyPI and Homebrew. However, community visibility and trust are currently very low, as reflected by having only 6 GitHub stars. This means the codebase lacks broad peer review and real-world testing from the wider open-source community.

Verdict
Safe to use, but exercise standard caution regarding local API key storage and the tool's early-stage community adoption.
SUMMARY

Persistent ontology driven knowledge system with formal OWL-RL reasoning, SPARQL graph + SQLite, and 22 MCP tools for AI agent memory.

README.md

Cortex

CI
PyPI
Python
License

Cognitive knowledge system with formal ontology, reasoning, and intelligence serving.

Cortex captures knowledge objects (decisions, lessons, fixes, sessions, research, ideas), classifies them with an OWL-RL ontology, discovers relationships, reasons over the graph, and serves intelligence through hybrid retrieval.

Dashboard

Knowledge Graph

Install

pip install abbacus-cortex[embeddings]
cortex setup

The setup wizard configures everything: LLM provider, embeddings, dashboard password, background services, and Claude Code registration.

Other install methods

Lightweight (no PyTorch — wizard offers to install embeddings):

pip install abbacus-cortex
cortex setup

Homebrew:

brew install abbacusgroup/tap/abbacus-cortex
cortex setup

From source:

git clone https://github.com/abbacusgroup/Cortex.git && cd Cortex
uv sync --extra embeddings
cortex setup

Docker:

docker compose up -d

For non-interactive installs (CI, scripts): cortex setup --auto uses environment variables.

Quick Start

cortex capture "Fix: Neo4j pool exhaustion" --type fix --content "Root cause was..."
cortex search "Neo4j"
cortex list
cortex context "Neo4j"
cortex dashboard                    # web UI at http://localhost:1315

Configuration

cortex setup writes configuration to ~/.cortex/.env. You can also edit it directly:

CORTEX_LLM_PROVIDER=anthropic
CORTEX_LLM_MODEL=claude-sonnet-4-20250514
CORTEX_LLM_API_KEY=sk-...
CORTEX_EMBEDDING_MODEL=all-mpnet-base-v2

See .env.example for all options.

CLI Commands

Command Description
cortex init Initialize data directory and stores
cortex setup Interactive setup wizard
cortex install Install background services (macOS/Linux)
cortex uninstall Remove background services
cortex register Register MCP server with Claude Code
cortex capture Capture a knowledge object
cortex search Hybrid keyword + semantic search
cortex read Read object in full
cortex list List objects with filters
cortex status Health and counts
cortex context Briefing mode (summaries)
cortex dossier Entity-centric intelligence brief
cortex graph Show object relationships
cortex synthesize Cross-document synthesis
cortex entities List resolved entities
cortex serve Start MCP or HTTP server
cortex dashboard Start web dashboard
cortex backup Backup data directory to archive
cortex restore Restore from backup archive
cortex doctor Diagnostics: check, unlock, logs, repair
cortex pipeline Re-run intelligence pipeline on an object
cortex reason Run advanced reasoning (contradictions, patterns, gaps)
cortex import-v1 Import from Cortex v1 database
cortex import-vault Import from Obsidian vault

MCP Tools

22 tools for AI agent integration. Localhost-bound HTTP exposes all; non-localhost binds expose only the public set.

Public: cortex_search, cortex_context, cortex_dossier, cortex_read, cortex_capture, cortex_link, cortex_feedback, cortex_graph, cortex_list, cortex_classify, cortex_pipeline

Admin (localhost only): cortex_status, cortex_synthesize, cortex_delete, cortex_reason, cortex_query_trail, cortex_graph_data, cortex_list_entities, cortex_export, cortex_safety_check, cortex_debug_sessions, cortex_debug_memory

Architecture

Cortex runs as a single MCP HTTP server that owns the graph store. Claude Code, the dashboard, the CLI, and the REST API are all HTTP clients of that one server.

┌───────────────┐    ┌────────────┐    ┌─────────────┐
│ Claude Code   │    │  Dashboard │    │     CLI     │
│ (MCP client)  │    │ (browser)  │    │  (terminal) │
└───────┬───────┘    └─────┬──────┘    └──────┬──────┘
        │                  │                  │
        │ HTTP JSON-RPC    │ HTTP MCP         │ HTTP MCP (default)
        │                  │                  │ direct (--direct)
        ▼                  ▼                  ▼
        ┌──────────────────────────────────────┐
        │   cortex serve --transport mcp-http  │
        │   (canonical MCP HTTP server)        │
        │   PID-locked owner of graph.db       │
        └──────────────────────────────────────┘
                          │
                          ▼
            ┌─────────────────────────────┐
            │  ~/.cortex/                 │
            │    graph.db   (Oxigraph)    │
            │    cortex.db  (SQLite WAL)  │
            └─────────────────────────────┘
  • Ontology: OWL-RL formal ontology with 8 knowledge types and 8 relationship types
  • Storage: Oxigraph (RDF/SPARQL) + SQLite (FTS5/BM25) dual-write
  • Pipeline: Classify → Extract entities → Link → Enrich → Reason
  • Retrieval: Hybrid keyword + semantic + graph-boosted ranking
  • Serving: 5 presentation modes (briefing, dossier, document, synthesis, alert)
  • Transports: MCP (stdio + HTTP), REST API, Web Dashboard

Service Management

# Install both MCP server and dashboard as background services
cortex install

# Install only the MCP server
cortex install --service mcp

# Remove all services
cortex uninstall

On macOS, this creates LaunchAgent plists (auto-start on login, auto-restart on crash).
On Linux, this creates systemd user units.

Raw templates are available in deploy/ for manual setup.

--direct escape hatch

By default, CLI commands route through the running MCP server. If the server is down:

cortex --direct list               # bypass MCP, open store directly
cortex --direct pipeline --batch   # required for bulk SQL operations

Bootstrap commands (init, setup, import-v1, import-vault) always run directly.

Docker

docker compose up -d
# Server at http://localhost:1314

Troubleshooting

Crashed MCP server

If the MCP server is killed hard, stale lock files auto-recover on next start. For manual cleanup:

cortex doctor unlock              # normal cleanup
cortex doctor unlock --dry-run    # report only
cortex doctor unlock --force      # bypass live-holder check

Log management

cortex doctor logs                # show log file sizes and status
cortex doctor logs --tail 20      # last 20 lines
cortex doctor logs --rotate       # rotate log files (safe while running)

Claude Code session staleness

After restarting the MCP server, restart Claude Code to clear its stale session ID. claude --resume restores your conversation. The dashboard and CLI do not have this issue.

Knowledge Types

decision, lesson, fix, session, research, source, synthesis, idea

Relationship Types

causedBy, contradicts (symmetric), supports, supersedes (transitive), dependsOn, ledTo (inverse of causedBy), implements, mentions

Privacy

Cortex stores all data locally. No telemetry, no analytics, no phone-home. If you configure an LLM provider (via CORTEX_LLM_API_KEY), object content may be sent to that provider for classification and reasoning. Embeddings are computed locally by default using sentence-transformers.

License

Copyright (c) 2026 Abbacus Group. Licensed under the MIT License.

Trademark Notice

Cortex is a project of Abbacus Group and is not affiliated with any other product named Cortex.

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