Claude Cortex

claude-cortex

[](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://github.com/codebloodedai/claude-cortex/actions) [](https://www.trychroma.com/)

Auto-capture + structured semantic recall for AI coding agents.

The memory system Claude Code should have had. One install. Zero config. Your AI remembers everything.

What it does

1. Captures — hooks into Claude Code's session lifecycle and records every conversation, tool use, and decision automatically
2. Indexes — pipes captured content into a local ChromaDB vector store in real-time, classified by topic
3. Recalls — provides semantic search + temporal knowledge graph via MCP tools, so your AI finds relevant context instantly

No cloud. No API keys. No subscriptions. Everything runs on your machine.

Install

pip install claude-cortex
cortex init
cortex install

That's it. Restart Claude Code and you have persistent memory.

What cortex install does

1. Registers as a Claude Code plugin — hooks into SessionStart, PostToolUse, SessionEnd, and PreCompact
2. Registers an MCP server — exposes 10 tools (search, KG, status) to your AI agent

From source (development)

git clone https://github.com/codebloodedai/claude-cortex.git
cd claude-cortex
python3 -m venv .venv && source .venv/bin/activate
pip install -e .
cortex init
cortex install

Quick start

# Mine existing files into the cortex
cortex mine ~/my-project --region myproject

# Search your memory
cortex search "authentication flow"

# Check what's stored
cortex status

# Knowledge graph
cortex kg stats
cortex kg query "Rudy"
cortex kg timeline "project-x"

How it works

The Cortex Structure

| Concept | What it is | Example | |---------|-----------|---------| | Region | Top-level domain | myproject, health, trading | | Cluster | Topic within a region | auth, database, api-design | | Trace | One chunk of stored memory | A paragraph from a conversation | | Synapse | Cross-region connection | Links auth in project A to auth in project B |

Memory Stack

| Layer | Size | When | |-------|------|------| | L0 — Identity | ~50 tokens | Every session | | L1 — Critical facts | ~120 tokens | Every session | | L2 — Topic recall | On demand | When topic mentioned | | L3 — Deep search | On demand | When explicitly needed |

Your AI wakes up with ~170 tokens of context. Not 10,000. Just enough to know who you are and what matters.

Auto-Capture Pipeline (Claude Code Hooks)

Four hooks fire automatically during every Claude Code session:

SessionStart
  → session-start.py fires
  → Loads L0 + L1 from cortex → injected as system message
  → AI starts with relevant context, zero manual effort

PostToolUse (Write | Edit | Bash)
  → post-tool-use.py fires
  → Captures operation to ~/.cortex/captures/{session}.jsonl
  → Fast: local file write only, no ChromaDB during session

PreCompact
  → pre-compact.py fires
  → Injects cortex context before context window compression
  → Critical state survives compaction

SessionEnd
  → session-end.py fires
  → Reads all captured observations
  → Classifies each by topic (keyword matching against clusters)
  → Vectorizes and stores as traces in ChromaDB
  → Builds session summary trace
  → Update knowledge graph
  → Ready for next session

MCP Tools

When connected to Claude Code, these tools are available:

| Tool | Description | |------|-------------| | cortex_status | Cortex overview — traces, regions, clusters | | cortex_search | Semantic search with optional filters | | cortex_add_trace | Store content into region/cluster | | cortex_delete_trace | Remove a trace by ID | | cortex_kg_query | Query entity relationships | | cortex_kg_add | Add temporal fact | | cortex_kg_invalidate | Mark fact as no longer true | | cortex_kg_timeline | Chronological entity history | | cortex_kg_stats | Knowledge graph overview | | cortex_reconnect | Force reconnect |

Configuration

# ~/.cortex/config.yaml
region: default
store_path: ~/.cortex/store

clusters:
  - name: code
    description: Code changes, architecture, debugging
    keywords: [function, class, bug, fix, refactor, api]
  - name: decisions
    description: Architecture choices, strategy
    keywords: [decided, chose, strategy, plan, design]
  - name: general
    description: Everything else
    keywords: []

vs. existing tools

| | claude-cortex | claude-mem | MemPalace | |---|---|---|---| | Auto-capture | Yes | Yes | No | | Structured recall | Yes | Basic | Yes | | Knowledge graph | Yes | No | Yes | | Real-time indexing | Yes | No | No | | MCP tools | 10+ | 3-4 | 29 | | One install | Yes | Yes | Yes | | License | MIT | AGPL | MIT |

claude-cortex combines the best of both: automatic capture from session hooks + structured semantic recall with a knowledge graph. One tool, not two.

Credits

Storage engine inspired by MemPalace (MIT). Auto-capture architecture inspired by claude-mem. Built from scratch by CodeBloodedAI.

License

MIT — do whatever you want with it.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: codebloodedai
• Source: codebloodedai/claude-cortex
• License: MIT
• Homepage: https://github.com/rudymartinezai/claude-cortex

Install and usage instructions live in the source repository linked above.