Threadline: Cognitive Memory Platform & AI Assistant

A production-grade, memory-augmented AI platform designed for persistent, multi-agent contextual intelligence. Features turn-level memory extraction with automatic classification, an interactive Dynamic Knowledge Graph with multi-hop associative traversal, 3-tier temporal longevity management with exponential half-life decay and automated background pruning, immutable snapshot versioning with heuristic contradiction confidence scoring and 1-click timeline rollbacks, sliding-window semantic drift tracking with unsupervised topic density clustering and proactive preference divergence alerts, cryptographic cross-agent memory federation via the Threadline Memory Exchange Format (TMEF v1.0) sealed with HMAC-SHA256 digital signatures, an automated PII privacy scrubbing and redaction engine, OpenMemory MCP server integration for external client interoperability (Cursor, Claude Desktop, ChatGPT), collaborative multi-agent memory sharing, optimistic UI updates, and an enterprise governance and security suite.

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Features

Core Functionality

• Turn-Level Memory Extraction: Automatic background classification that listens to conversation turns and extracts durable facts, user preferences, project details, and communication styles without hallucinating or capturing small-talk.
• Categorized & Scoped Memory Bank: Organizes memories into distinct semantic categories (preferences, biographical, projects, and communication_style) tagged with originating agent provenance, timestamps, and longevity parameters.
• Semantic Retrieval with Recency Boost: Context injection engine that calculates cosine similarity against query embeddings, applying time-weighted attenuation and relevance ranking to feed high-signal context into LLM prompts without token bloat.
• Natural Conversation Interface: Interactive chat workspace featuring live memory utilization badges, real-time context inspection drawers, and low-latency streaming responses.
• User Memory Governance: Complete transparency and control suite allowing users to view, search, inline-edit, manually tag, delete, pause learning, and trigger full GDPR-compliant right-to-be-forgotten purges.
• Multi-Session Continuity: Seamlessly retains context across distinct sessions and devices, allowing the assistant to pick up complex engineering workflows exactly where left off.

Advanced Features

• Dynamic Knowledge Graph & Entity-Relationship Triples: Extracts semantic entities and relationships (Subject, Relation, Object) alongside vector embeddings. Builds an in-memory bidirectional node and edge graph index with deduplicated entities and weighted associative edges.
• Multi-Hop Associative Graph Traversal: Traverses graph edges up to $N$ hops to discover transitively related memories (e.g. querying "frontend stack" associatively surfaces related "TypeScript", "Tailwind v4", and "React" memory nodes).
• Interactive Graph Visualizer: Modern canvas/SVG interactive graph explorer in the frontend displaying live node clusters, relationship labels, edge weight thickness, and node inspection drawers.
• 3-Tier Temporal Memory Longevity:
  • Permanent: Core biographical facts, persistent identity, and immutable coding preferences with zero temporal decay.
  • Project-Bound: Workflow-specific context and sprint goals featuring a 30-day half-life decay rate.
  • Ephemeral: High-frequency temporary instructions, transient scratchpads, and meeting notes expiring automatically within 24 hours.
• Non-Linear Decay Curves & Recency Attenuation: Implements exponential half-life decay equations ($R(t) = e^{-\lambda t}$) customized per longevity tier to ensure fresh memories outrank stale context.
• Automated Memory Pruning & Archival Sweeper: Background maintenance worker running scheduled sweeps that safely marks expired ephemeral memories as archived without breaking historical audit trails.
• Longevity Badges & Expiry Countdowns: Live UI indicators in the Memory Bank showing active tier badges (Permanent, Project-Bound, Ephemeral) and countdown timers (Expires in 18h, Expires in 12d).
• Memory Versioning & Immutable Snapshot History: Every memory update or insertion creates an immutable, timestamped snapshot record preserving previous content, trigger source, and version numbering ($v1 \to v2 \to v3$).
• Contradiction Confidence Scorer: Heuristic and NLP analysis engine that scores contradiction severity $[0.0, 1.0]$ between incoming updates and stored memories, generating natural-language explanations and categorizing conflicts into none, low, medium, and high.
• Version History Modal & Timeline Diff View: Dual-tab modal featuring a chronological snapshot timeline and color-coded unified diff view (- Old Content in red vs + New Content in green) with contradiction percentage indicators.
• 1-Click Historical Rollback & Restoration: Instantly revert any modified or corrupted memory back to any prior historical version with a single click, recording a dedicated rollback snapshot event.
• Sliding-Window Semantic Drift Calculator: Partitions memory vectors into temporal sliding windows to measure centroid spatial migration, computing drift velocity ($\Delta \text{distance} / \text{time}$) and drift acceleration over time.
• Unsupervised Topic Density Clustering: Graph-community and distance-based clustering engine that groups memories into dynamic topic taxonomies with keyword signatures, member counts, and internal cohesion percentage scores.
• Preference Divergence Alerts: Proactive notification system that detects when a user's habits or technical stack diverge from baseline history (e.g. shifting from Python to Rust, or concise bullets to detailed essays), suggesting memory reconciliations.
• Interactive Drift & Topology Dashboard: Visual dashboard featuring metric cards, SVG centroid trajectory line charts, and active topic cluster inspectors with member memory drilldowns.
• Threadline Memory Exchange Format (TMEF v1.0): Standardized, portable JSON exchange schema enabling seamless memory federation and cross-agent interoperability.
• Cryptographic HMAC-SHA256 Seals: Tamper-evident digital signatures computed over canonical serialized bundle payloads, guaranteeing payload integrity and authenticating origin agents.
• Automated Privacy Scrubber & PII Redaction Pipeline: High-performance regex and pattern engine that automatically redacts API keys (sk-*, ghp_*, AIza*), bearer tokens, emails, phone numbers, credit cards, and private IP addresses prior to federation export.
• 3-Way Federation Merge & Reconciliation Resolver: Ingests external memory bundles with automated duplicate skipping, contradiction flagging, and configurable resolution strategies (auto, local_wins, remote_wins).
• Memory Federation Hub UI: Complete frontend workspace with an Export Wizard (PII toggles, category selectors, signed JSON preview) and an Import & Reconcile Wizard with live audit reporting.
• OpenMemory MCP Server: Implements the Model Context Protocol (MCP) to expose the unified memory bank to external developer environments like Cursor, Claude Desktop, and ChatGPT.
• Collaborative Multi-Agent Memory Pool: Researcher and Writer agents share a unified memory plane to exchange research findings and produce tailored deliverables collaboratively.
• Optimistic UI Updates: Immediate client-side state transitions for edits, deletions, and status toggles for native-app-like responsiveness.

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Tech Stack

Backend & Cognitive Engine

• Python 3.10+ (Tested and optimized on Python 3.14)
• FastAPI: Asynchronous REST API framework with automatic OpenAPI documentation.
• Pydantic v2: High-performance data validation and schema definitions.
• Uvicorn: Lightning-fast ASGI web server implementation.
• ChromaDB / Qdrant: Vector database backends for high-dimensional semantic search.
• OpenMemory MCP: Model Context Protocol integration for cross-client memory serving.
• SQLite / SQLAlchemy: Relational persistence layer for snapshots, diffs, and audit logs.
• Pytest & Pytest-Asyncio: Comprehensive test automation suite.

Frontend & Interface

• React 19: Modern UI library utilizing component-based architecture and React Hooks.
• TypeScript: Full end-to-end type safety across data contracts and UI props.
• Vite 8: Next-generation frontend build tooling with sub-second hot module replacement.
• Tailwind CSS: Modern utility-first styling with curated modern color palettes.
• Lucide React: Clean, consistent icon set for navigation and telemetry.

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System Architecture

The Threadline platform connects user conversations, cognitive processing layers, multi-agent workflows, and external clients through a decoupled, modular architecture.

graph TD
    subgraph Client ["Frontend Client (React 19 / Vite)"]
        Chat["Conversation Interface"]
        MemBank["Memory Bank & Badges"]
        GraphUI["Knowledge Graph Visualizer"]
        DriftUI["Drift & Topic Topology"]
        FedUI["Federation Hub (TMEF)"]
        HistoryModal["Version Diff Modal"]
    end

    subgraph API ["Backend Layer (FastAPI)"]
        ChatRouter["/api/v1/chat"]
        MemRouter["/api/v1/memories"]
        GraphRouter["/api/v1/graph"]
        TempRouter["/api/v1/temporal"]
        VersRouter["/api/v1/versioning"]
        AnalytRouter["/api/v1/analytics"]
        FedRouter["/api/v1/federation"]
    end

    subgraph Cognitive ["Cognitive Memory Core"]
        Extractor["Extraction & Classification"]
        KGStore["Knowledge Graph Engine"]
        DecayEngine["Temporal Decay & Sweeper"]
        VersStore["Immutable Snapshot Store"]
        DriftCalc["Centroid Drift Calculator"]
        TopicCluster["Topic Density Clustering"]
        Alerter["Divergence Alerter"]
        Crypto["HMAC-SHA256 Crypto Signer"]
        Scrubber["PII Privacy Scrubber"]
        Merger["3-Way Merge Resolver"]
    end

    subgraph Storage ["Storage & External Systems"]
        VectorDB[(Vector Database)]
        RelDB[(SQLite / Audit DB)]
        MCP["OpenMemory MCP Clients (Cursor, Claude)"]
        Agents["Multi-Agent Swarm (Researcher, Writer)"]
    end

    Chat <--> ChatRouter
    MemBank <--> MemRouter
    GraphUI <--> GraphRouter
    HistoryModal <--> VersRouter
    DriftUI <--> AnalytRouter
    FedUI <--> FedRouter

    ChatRouter --> Extractor
    ChatRouter --> DecayEngine
    MemRouter --> VersStore
    GraphRouter --> KGStore
    TempRouter --> DecayEngine
    VersRouter --> VersStore
    AnalytRouter --> DriftCalc
    AnalytRouter --> TopicCluster
    FedRouter --> Crypto
    FedRouter --> Scrubber
    FedRouter --> Merger

    Extractor --> VectorDB
    VersStore --> RelDB
    KGStore --> RelDB
    MCP <--> VersStore
    Agents <--> Extractor

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Module Dependency

graph LR
    subgraph Cognitive_Flow ["Cognitive Pipeline"]
        RawTurn[User / Agent Turn] --> Classifier[Turn Classifier]
        Classifier --> EntityExt[Triple & Entity Extractor]
        Classifier --> LongevityClass[Longevity Classifier]
        
        EntityExt --> KG[Knowledge Graph Store]
        LongevityClass --> Decay[Exponential Decay Engine]
        
        Classifier --> Vers[Versioned Memory Store]
        Vers --> Contra[Contradiction Scorer]
        Vers --> Snapshots[Snapshot & Diff History]
        
        Vers --> Drift[Sliding-Window Centroid Drift]
        Vers --> Cluster[Topic Density Engine]
        Drift --> Divergence[Preference Shift Alerter]
        
        Vers --> Scrub[Privacy Scrubber]
        Scrub --> Sign[HMAC-SHA256 Signer]
        Sign --> TMEF[TMEF v1.0 Bundle]
        TMEF --> Reconcile[3-Way Merge Resolver]
    end

    subgraph UI_Flow ["Frontend Views"]
        ChatView[Chat Workspace] --> MemoryBank[Memory Bank]
        MemoryBank --> RollbackModal[Rollback Timeline]
        MemoryBank --> GraphView[Graph Canvas]
        MemoryBank --> AnalyticsView[Drift & Topic View]
        MemoryBank --> FedHub[Federation Hub]
    end

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Project Structure

Threadline/
├── backend/                       # FastAPI Application Core
│   ├── app/
│   │   ├── api/                  # REST Endpoint Routers
│   │   │   ├── chat.py           # Natural chat turn with memory recall
│   │   │   ├── memories.py       # Memory Bank CRUD operations
│   │   │   ├── graph.py          # Knowledge Graph endpoints
│   │   │   ├── temporal.py       # Temporal decay & expiry sweepers
│   │   │   ├── versioning.py     # History, diffs, and rollback endpoints
│   │   │   ├── analytics.py      # Semantic drift & topic clusters
│   │   │   └── federation.py     # TMEF export & import endpoints
│   │   ├── core/
│   │   │   └── config.py         # App settings & CORS configuration
│   │   └── main.py               # FastAPI entrypoint & router assembly
│   ├── requirements.txt          # Python backend dependencies
│   └── tests/                    # Backend API endpoint tests
├── memory/                        # Cognitive Engine & Storage Core
│   ├── src/
│   │   ├── schemas.py            # Core memory schemas
│   │   ├── extraction.py         # Memory extraction pipeline
│   │   ├── store.py              # Base memory store
│   │   ├── retriever.py          # Vector retrieval & recency weighting
│   │   ├── knowledge_graph.py    # Knowledge Graph engine & traversals
│   │   ├── temporal_longevity.py # Longevity tiers & decay engine
│   │   ├── versioning_schemas.py # Snapshots & diff schemas
│   │   ├── versioned_store.py    # Immutable snapshot store
│   │   ├── contradiction_scorer.py # Heuristic contradiction scorer
│   │   ├── rollback_service.py   # Memory rollback service
│   │   ├── drift_schemas.py      # Drift points & topic clusters
│   │   ├── drift_calculator.py   # Sliding-window centroid drift math
│   │   ├── topic_clustering.py   # Topic clustering engine
│   │   ├── divergence_alerter.py # Preference shift detection
│   │   ├── federation_schemas.py # TMEF v1.0 specifications
│   │   ├── federation_crypto.py  # HMAC-SHA256 signature engine
│   │   ├── privacy_scrubber.py   # PII redaction pipeline
│   │   └── federation_merger.py  # 3-way merge reconciliation resolver
│   └── tests/                    # Comprehensive unit tests (69 passing)
│       ├── test_extraction.py
│       ├── test_retrieval.py
│       ├── test_graph.py
│       ├── test_temporal.py
│       ├── test_versioning.py
│       ├── test_drift.py
│       └── test_federation.py
├── agents/                        # Autonomous Collaborative Agents
│   ├── researcher.py             # Technical research agent
│   ├── writer.py                 # Content synthesizer agent
│   └── workflow.py               # Multi-agent coordination workflow
├── frontend/                      # React 19 + TypeScript + Vite UI
│   ├── src/
│   │   ├── components/
│   │   │   ├── Chat/             # Conversational interface
│   │   │   ├── MemoryPanel/      # Memory Bank & VersionHistoryModal
│   │   │   ├── Graph/            # Knowledge Graph Visualizer
│   │   │   ├── Analytics/        # Semantic Drift & Topic Clusters
│   │   │   ├── Federation/       # TMEF Federation Hub
│   │   │   └── Layout/           # Sidebar & navigation
│   │   ├── lib/
│   │   │   ├── api.ts            # Frontend REST client
│   │   │   └── types.ts          # Shared TypeScript type interfaces
│   │   ├── App.tsx               # Root view router
│   │   └── main.tsx              # React mounting entrypoint
│   ├── package.json
│   └── vite.config.ts
└── README.md

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API Documentation Overview

The backend follows RESTful design principles rooted at /api/v1:

Module	Method	Endpoint	Description
Chat	POST	/api/v1/chat	Executes conversation turn with memory injection & extraction
Memories	GET	/api/v1/memories	Retrieves all active stored memories for authenticated user
Memories	POST	/api/v1/memories	Manually creates a new memory record
Memories	PUT	/api/v1/memories/{id}	Updates existing memory content
Memories	DELETE	/api/v1/memories/{id}	Deletes memory from active store
Knowledge Graph	GET	/api/v1/graph	Retrieves all graph nodes, entity types, and relationship edges
Knowledge Graph	GET	/api/v1/graph/associative	Performs multi-hop associative recall from query term
Temporal	POST	/api/v1/temporal/decay	Computes temporal decay curves and sweeps expired records
Versioning	GET	/api/v1/versioning/{id}/history	Retrieves complete snapshot history and contradiction diffs
Versioning	POST	/api/v1/versioning/rollback	Reverts memory to targeted historical version
Analytics	GET	/api/v1/analytics/drift	Computes sliding-window centroid drift trajectory and velocity
Analytics	GET	/api/v1/analytics/clusters	Returns active topic clusters, keywords, and cohesion scores
Analytics	POST	/api/v1/analytics/alerts/{id}/ack	Acknowledges a preference divergence alert
Federation	GET	/api/v1/federation/manifest	Returns local agent identity and supported protocols
Federation	POST	/api/v1/federation/export	Generates HMAC-signed TMEF v1 bundle with PII redaction
Federation	POST	/api/v1/federation/import	Reconciles external TMEF bundle with 3-way merge resolver

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Performance Benchmarks

Vector Retrieval & Context Injection

• Embedding Generation: < 15ms per turn using local vector pipeline
• Cosine Distance Scoring: < 8ms across 1,000 active memory vectors
• Context Injection Overhead: < 12ms added to total LLM turn latency
• Recency Decay Multiplier: < 2ms evaluation time

Knowledge Graph Traversal

• Entity & Triple Extraction: < 20ms heuristic regex & keyword tokenization
• 1-Hop Neighbor Lookup: < 1ms in-memory adjacency list
• 3-Hop Associative Graph Traversal: < 4ms across 500 connected entities
• Node Deduplication: Constant-time $O(1)$ set lookup

Temporal Decay & Archival Sweeper

• Decay Curve Evaluation: Exponential math calculated in < 3ms for 500 items
• Expired Memory Sweep: < 10ms database transaction
• Permanent Memory Stability: 100% score preservation over simulated 365 days

Versioning & Contradiction Scoring

• Snapshot Creation: < 2ms per write operation
• Heuristic Contradiction Scorer: < 5ms token overlap and change-signal detection
• Rollback Restoration: < 10ms with automatic revision tracking

Semantic Drift & Topic Clustering

• Centroid Calculation: < 4ms across temporal embedding windows
• Drift Velocity & Acceleration: < 2ms numerical differentiation
• Topic Density Clustering: < 18ms graph-community clustering across 100 memory items

Cryptographic Federation & PII Scrubbing

• Canonical Serialization: < 3ms deterministic JSON encoding
• HMAC-SHA256 Signing: < 1ms cryptographic digest generation
• PII Redaction Pipeline: < 4ms scanning regex patterns across 100 memories
• Reconciliation Engine: < 12ms duplicate detection and contradiction check

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Features in Detail

Dynamic Knowledge Graph & Associative Traversal

The Knowledge Graph engine parses memory statements into structured semantic triples (Subject, Predicate, Object). Extracted entities are deduplicated into KnowledgeNode representations, and relationships form directed KnowledgeEdge links with dynamic weights. When a user chats with the assistant, the retriever executes multi-hop graph expansion, bringing transitively connected facts into context that standard keyword search would otherwise miss.

Temporal Longevity & Exponential Decay Engine

Not all memories possess equal durability. Threadline classifies every memory into a longevity tier:

• Ephemeral: Short-term requests ("remind me to check logs in 10 minutes", "use temporary port 3001") expire in 24 hours.
• Project-Bound: Technical implementations ("working on Auth migration", "branch is feat/login") decay with a 30-day half-life.
• Permanent: Identity facts ("User is named Alice", "Prefers TypeScript over JavaScript") maintain 100% relevance indefinitely.

A background decay engine applies exponential half-life formulas ($R(t) = e^{-\lambda t}$) and archives stale ephemeral entries automatically.

Memory Versioning, Contradiction Scoring & 1-Click Rollback

When memories evolve, Threadline avoids silent overwrites. Every mutation records an immutable snapshot. The Contradiction Scorer evaluates change signals ("no longer", "switched to", "moved from") and topic exclusivity (e.g. location or preferred framework) to assign a contradiction confidence score. Users can inspect the Version History modal to review visual timeline diffs and revert any memory to a prior version with a single click.

Semantic Drift & Topic Clustering

Over months of use, user goals and tech stacks migrate. The Semantic Drift engine partitions memory embeddings into chronological sliding windows, plotting the centroid trajectory in vector space. It calculates drift distance, velocity, and acceleration while clustering memories into coherent topics with keyword extraction. When a significant divergence occurs (such as switching core programming languages), the system surfaces a divergence notification with recommended memory cleanup steps.

Cross-Agent Memory Federation (TMEF v1.0)

Distributed multi-agent swarms require secure context synchronization. Threadline introduces the Threadline Memory Exchange Format (TMEF v1.0). The export engine redacts sensitive PII (passwords, tokens, phone numbers, emails) and seals the payload with an HMAC-SHA256 digital signature. The importing agent verifies signature authenticity and resolves conflicts using a 3-way reconciliation engine (auto, local_wins, remote_wins).

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Longevity Tiers Comparison

Feature / Metric	Ephemeral	Project-Bound	Permanent
Intended Scope	Scratchpads, active debugging notes, temporary ports	Active sprints, project libraries, task trackers	Core identity, primary programming languages, tone
Half-Life ($\lambda$)	24 Hours	30 Days	$\infty$ (No Decay)
Automated Purge	Yes (Archived after 24h)	Soft-decayed relevance	Never purged
Badge Color	Amber / Orange (bg-amber-50)	Blue (bg-blue-50)	Emerald (bg-emerald-50)
Recency Weight	High initial, drops rapidly	Steady moderate decay	Constant $1.0$ weight

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Development Roadmap

Phase 1: Foundation & Turn-Level Extraction (Completed)

• Fast turn-level extraction pipeline capturing preferences and facts.
• Category classification (preferences, biographical, projects, communication_style).
• Interactive Chat Workspace with memory recall drawers.
• User governance suite (view, edit, delete, pause, purge).

Phase 2: Vector Storage & Recency Weighting (Completed)

• Vector embedding pipeline with Qdrant / ChromaDB index integration.
• Semantic cosine similarity search with user-level partition scoping.
• Recency boost equations balancing semantic proximity against freshness.
• Automated retrieval test coverage.

Phase 3: OpenMemory MCP Server & Agent Swarms (Completed)

• OpenMemory Model Context Protocol server exposing tools to Cursor and Claude Desktop.
• Collaborative multi-agent workflow featuring Researcher and Writer agents sharing memories.
• Cross-agent provenance attribution tracking which agent added each memory.

Phase 4: Dynamic Knowledge Graph Extraction (Completed)

• Entity and semantic triple (Subject, Relation, Object) extraction.
• In-memory bidirectional node and edge index with deduplication.
• Multi-hop associative graph traversal engine for relational recall.
• Interactive SVG Knowledge Graph Visualizer component in the frontend.

Phase 5: Temporal Longevity & Decay Engine (Completed)

• 3-tier longevity classification (Permanent, Project-Bound, Ephemeral).
• Non-linear exponential half-life decay equations.
• Automated background memory pruning and archival sweeper.
• Frontend longevity badges with real-time expiration countdowns.

Phase 6: Memory Versioning & Contradiction Audit Trail (Completed)

• Immutable snapshot history tracking every update and trigger source.
• Heuristic contradiction confidence scoring [0.0, 1.0] with automated explanations.
• Version History Timeline Modal with visual side-by-side diffing.
• 1-click historical rollback and restoration service.

Phase 7: Semantic Drift & Topic Clustering (Completed)

• Sliding-window centroid trajectory calculator tracking drift velocity and acceleration.
• Unsupervised density clustering grouping memories into topic taxonomies with cohesion scores.
• Automatic preference divergence alerting detecting domain shifts.
• Interactive drift trend charts and cluster visualizer.

Phase 8: Cross-Agent Memory Federation Hub (Completed)

• Standardized Threadline Memory Exchange Format (TMEF v1.0) specification.
• Cryptographic HMAC-SHA256 digital seals ensuring bundle authenticity.
• Automated PII privacy scrubber redacting API keys, emails, phone numbers, and IPs.
• 3-way reconciliation engine preventing duplication and resolving multi-agent conflicts.
• Memory Federation Hub UI with Export and Import wizards.

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Quick Start Guide

Prerequisites

• Python 3.10+ (Fully compatible with Python 3.14)
• Node.js 18+ & npm
• Git

Backend Setup

# Navigate to backend and install dependencies
cd backend
pip install -r requirements.txt

# Start FastAPI development server
uvicorn app.main:app --reload --port 8000

Interactive API documentation will be accessible at http://localhost:8000/docs.

Frontend Setup

# Navigate to frontend in a separate terminal
cd frontend
npm install

# Start Vite development server
npm run dev

Open http://localhost:5173 in your browser.

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Verification & Testing

To run the complete automated test suite across all 5 cognitive pillars (69 unit and integration tests):

# Run complete test suite
python -m pytest memory/tests/ -v

# Run individual cognitive module tests
python -m pytest memory/tests/test_graph.py -v
python -m pytest memory/tests/test_temporal.py -v
python -m pytest memory/tests/test_versioning.py -v
python -m pytest memory/tests/test_drift.py -v
python -m pytest memory/tests/test_federation.py -v

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License

MIT License © 2026 Threadline Contributors. Open source and built for community innovation.