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README6 min read

Blue Synergy Cortex (v3.0)

Long-term, drift-free cognitive memory engine for AI Agents, Cursor IDE, and Claude Desktop via Model Context Protocol (MCP).

MCP Compatible Latency Architecture M8ven Score

Deep Dive: Want to understand our tri-stream model, autonomous rest cycles, and dynamic invariant guards?
Read the full Engineering Whitepaper & Architecture Model (ARCHITECTURE.md).


Stop AI Amnesia & Specification Drift

Most memory systems treat everything as fluid vector soup—causing agents to hallucinate, forget strict technical requirements, or confuse user preferences with code specs.

Blue Synergy Cortex implements an enterprise-grade Tri-Stream Architecture backed by transactional PostgreSQL and enterprise knowledge graph architecture:

  1. User Stream: Generalizes conversational habits and user preferences over time.
  2. Identity Stream: Deterministic guardrails and behavioral axioms that prevent sycophancy.
  3. Knowledge Stream (Living Specs): Exact architecture specifications, hardware limits, and system parameters organized into an authoritative Universal Domain Ontology. This stream is protected against lossy compression, semantic decay, and accidental drift.

Quickstart (1 Minute Setup)

API Key Required: Blue Synergy Cortex is a fully hosted, zero-maintenance cognitive cloud engine. You need an active API key to connect your client.

🔑 Get your 21-Day Free Trial Key here
(Instant activation, no credit card required, includes 500 graph nodes & up to 3 agents).


Step 1: Get your API Key

  1. Go to cortex.bluesynergy.io and generate your trial key.
  2. Your key will look like: ctx_live_xxxxxxxxxxxxxxxxxxxxxx.

Step 2: Connect your AI agent

A. Cursor IDE Integration

  1. Open Cursor Settings (Ctrl+Shift+J or Cmd+Shift+J).
  2. Navigate to Features -> MCP Servers -> Add new MCP server.
  3. Configure as follows:
    • Name: cortex-memory
    • Type: sse
    • URL: https://cortex.bluesynergy.io/v1/mcp/sse?api_key=YOUR_API_KEY
  4. Save. Your Cursor Composer and Agent now have permanent recall across restarts!

B. Claude Desktop Integration

Edit your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the Cortex remote configuration (Claude Desktop):

json
{
  "mcpServers": {
    "cortex": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cortex.bluesynergy.io/v1/mcp/sse",
        "--header",
        "Authorization: Bearer YOUR_API_KEY"
      ]
    }
  }
}

Restart Claude Desktop


C. Other MCP Clients (Windsurf, VS Code Cline, Roo Code, Zed, Cursor)

Use the SSE endpoint directly in your tool's MCP configuration:

json
{
  "mcpServers": {
    "cortex": {
      "url": "https://cortex.bluesynergy.io/v1/mcp/sse?api_key=ctx_live_..."
    }
  }
}

D. Custom Agents & REST API (LangChain, CrewAI, AutoGen, OpenAI Custom GPTs, LlamaIndex, n8n)

Integrate Cortex directly into your custom pipelines via our sub-65ms REST endpoints:

Example: Querying Context (cURL)

bash
curl -X POST https://cortex.bluesynergy.io/v1/recall \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "System database requirements",
    "user_id": "developer",
    "agent_id": "backend_agent"
  }'

Available MCP Tools & Lifecycle Architecture

Cortex is not a passive key-value store; it is an active cognitive operating system with strict governance boundaries. Understanding when and why to call each tool ensures high-fidelity memory consolidation.


The Standard Agent Turn Cycle

For every user turn, your agent should inherently follow this golden loop:

  1. At turn start: Call cortex_recall to fetch ground-truth context (User Bio + Active Project Specs + Graph Relations).
  2. Generate response: Formulate the answer grounded in the retrieved memory.
  3. At turn end: Call cortex_ingest_turn to send the turn to the asynchronous ingestion buffer.

Detailed Tool Reference

Tool NameTypeWhen to CallSystem Behavior
cortex_recallquery (string)
compact (bool, optional)
Before answering the user (mandatory for full context awareness).Sub-65ms hybrid vector and topological graph search. Injects verified user traits, active project specifications, and cross-entity graph facts. Set compact: true to strip profile preambles and return only high-relevance facts (recommended for CLI / Claude Code).
cortex_ingest_turnIngestionImmediately after answering every conversational turn. Crucial for agent behavioral distillation and user biography generation.Asynchronously ingests the full conversational turn. The Memory Firewall filters dialogue noise, learns communication preferences, and stages technical facts for scheduled consolidation.
cortex_create_projectProvisioningWhen the user declares, initializes, or approves a new project scope.Explicitly registers and authorizes a new canonical project_id. Creates the project baseline, prevents future memory writes from falling back into general, and automatically adopts related staged notes from the general pool.
cortex_store_memoryWriteFor explicit system constraints, business rules, and technical decisions that must be guaranteed and stored in the KNOWLEDGE stream.Curated persistent write. Safety Gate: If project_id is not yet authorized by the user, facts are safely staged in the general memory pool (general) to prevent project pollution.
cortex_get_project_specInspectionWhen you need the complete Living Canonical Specification of a project.Deterministically retrieves the verified, unified specification (Living Document) of the project. Note: Returns only authorized and consolidated specifications—not unorganized scratchpad notes.
cortex_manage_draftGovernanceWhen a new product or domain is proposed and awaits explicit user authorization.Approves quarantined project drafts (draft_*) into active production specifications, or permanently purges rejected concepts. Promotes staged facts from general into a dedicated project scope.
cortex_triage_generalMaintenanceWhen the unstructured staging pool (general) accumulates multi-project notes.Semantic clustering engine that organizes notes in general, pairs them with corresponding projects, and executes workspace compaction.

Project Governance & Lifecycle

To prevent memory fragmentation and unauthorized project sprawl, Cortex treats memory with strict governance boundaries:

text
[Incoming Note / Message]
           │
           ▼
   Is Project Authorized?
        ├── NO  ──► Staged in General Pool ('general')
        │                 │
        │                 ▼
        │          Awaits Triage via `cortex_triage_general`
        │          (or explicitly authorized via `cortex_create_project`)
        │                 │
        └── YES ◄─────────┘
           │
           ▼
[Asynchronous Consolidation Cycle]
           │
           ▼
[Active Living Specification & Knowledge Topology]

Why is my project_spec empty after storing notes?

Cortex enforces a Human-in-the-Loop policy. If a project_id has not yet been explicitly authorized by the user, incoming facts are safely staged in the general memory pool to prevent polluting active workspaces. Once the project is approved (via cortex_manage_draft or explicit creation), the nocturnal consolidation engine automatically synthesizes these staged notes into the official Living Specification (cortex_get_project_spec).


Core Architecture Highlights

  • Sub-65ms Zero-LLM Recall: Direct high-performance vector and topological graph matching—completely bypassing slow, non-deterministic runtime LLM keyword extractors.
  • Dual-Zone Fast-Append: Instant raw fact capture (< 20ms) into an inbox staging zone, followed by scheduled asynchronous consolidation into an immutable, unified Living Specification.
  • Semantic Invariant Guard: Algorithmic verification gate that enforces factual density and continuity, mathematically preventing the truncation or loss of critical parameters during re-indexing.
  • Immunity Shield: Operational errors, tool crashes, transient hallucinations, and conversational apologies are filtered out by design and never committed to long-term memory.

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