Odyssey 3.0 Release Notes - October 2025

Odyssey 3.0 Release Notes - October 2025

🚀 Odyssey AI 3.0 — Release Notes (October 2025)


Odyssey AI 3.0 is a private, open-source platform for governed AI agents—deployable in your VPC or on-prem—designed for regulated enterprises that need traceability, explainability, and audit-ready evidence. The 3.0 release focuses on a redesigned app experience, MCP tool integration, a Visual Agent Builder with six governed step types, human-in-the-loop (HITL) controls, and analytics/auditability. Teams can start with a next-day prototype and reach POC in 1–4 weeks before scaling to production.


🎯 What’s New: Complete App Redesign


  1. Two-part navigation (icon sidebar + expandable drawer) with Home, AI Agents, Data, Settings as primary waypoints, consistent dark/light mode, and smoother interactions. 

  2. MCP Tools (Model Context Protocol): 18 providers / 95+ tools with OAuth, parameter validation, provider health, and seamless insertion into agent workflows—turning Odyssey into a governed AI command center. Build & Run a Governed Agent (Product-True)

  3. Drag-and-drop, node-based editor with real-time validation and one-click conversion to API-compatible configs.
  4. Agent Inbox & Queue Manager (HITL)
    Centralized oversight for agent actions: approve/reject/abort, priority queues, bulk ops, real-time approval prompts, and automatic state cleanup/timeouts.

  5. Monitoring & Analytics
    Real-time metrics with auto-refresh, volume/error tracking, top-agent insights, live activity feeds, and system-level trends for audit-readiness.

  6. Datasets & Knowledge Management
    Multi-source ingestion (Google Drive, OneDrive, S3, local), status tracking, file↔dataset relationships, storage metrics, and dataset analytics aligned with data-targeting.

  7. New: CSV/TSV ingestion — header detection, type inference, delimiter auto-detect, field mapping, row-level privacy filters, and column-level Dataset Targeting for table-aware RAG.







  8. Odyssey Scout (Real-Time Web Access)
    Live research with inline SourceSnips/citations to generate defensible evidence in compliance, risk, and audit scenarios.

Key Benefits:

  1. ✅ 30% faster task completion through automated team formation

  2. ✅ Reduced manual orchestration with self-organizing capabilities

  3. ✅ Enhanced scalability with concurrent agent execution

  4. ✅ Improved decision quality through collaborative agent reasoning

🎨 Build & Run a Governed Agent (Product-True)

  1. Connect Datasets — Add Drive/OneDrive/S3/local sources and bind them via Dataset Targeting.

  2. Enable MCP Tools — Connect providers (18 / 95+ tools) via OAuth; verify provider health and parameters. 

  3. Design in Visual Builder — Use RAG, Compile, Structure, MCP Discovery, MCP Direct, Custom Tools; resolve validation warnings.

  4. Set Governance — Use Inbox/Queue for HITL approvals and controlled execution with audit trails (SourceSnips, analytics). 

  5. Monitor & Iterate — Track metrics, activity, and system trends; refine tools and datasets as needed. 

⚡ Execution Efficiency

  • ✅ 30% faster workflow execution through optimized step transitions (moved under “Execution Efficiency” as requested).

  • ✅ Reduced manual oversight via consolidated HITL flows; improved concurrency handling. (Keep without hard numbers unless documented.)



 📄 Documentation & Developer Links



⏱️ POC / Time-to-Value

  • Next-day prototype for qualified use cases.

  • POC in 1–4 weeks with acceptance tests, then promote to production

  • Governed by HITL approvals, SoD, and audit trails (SourceSnips) across datasets and tools


🔒 Governance, Security & Compliance (Publicly Stated)

  • HITL oversight, activity feeds, and audit-ready logs (SourceSnips) for defensible outcomes.

  • Standard alignment for regulated environments (e.g., ISO 27001, SOC 2, HIPAA, GDPR, EU AI Act). (Alignment ≠ certification; do not claim certifications.)


    💡    Use Cases (Examples)

  • GRC/Compliance: Automated workflows, policy adherence monitoring, audit trail generation. 

  • Legal Discovery: Document review, evidence extraction, privileged-content detection.

  • Financial Services: Regulatory reporting automation, fraud pattern detection, market-intelligence synthesis. 


⚙️ Adaptive Learning System 

  1. Self-Learning Agents: Reduced oversight as agents learn from feedback
  2. Alert Reduction: Intelligent alert management based on confidence levels
  3. Event Monitoring: Trained Odyssey Scouts trigger guarded flows automatically


🛡️Compliance Framework Support 

  1. ✅ ISO 27001 - Information Security Management

  2. ✅ SOC 2 - Service Organization Controls

  3. ✅ HIPAA - Healthcare Information Privacy

  4. ✅ GDPR - European Data Protection

  5. ✅ EU AI Act - AI Governance Compliance


📊 97% SLA-Backed Accuracy

  1. Validated Acceptance: 97% target accuracy SLA on defined datasets
  2. Groundedness Enforced: All responses must cite verifiable sources
  3. Continuous Evaluation: Real-time drift alerts and performance monitoring
  4. Evidence-Based Decisions: Complete audit trails with SourceSnips citations


📈 Performance Improvements


Execution Efficiency

  1. 30% faster workflow execution through optimized step transitions
  2. 3x improvement in concurrent agent handling
  3. 25% lower operational costs through automation

Security & Compliance

  1. 100% audit compliance with complete trace capabilities
  2. 97%+ accuracy maintained across all agent executions


🔄 Migration & Upgrade Notes



From Legacy Agent Systems

  1. Import Existing Workflows: Conversion tools for popular frameworks
  2. Data Migration: Automated transfer of datasets and configurations
  3. Training Transfer: Preserve existing agent knowledge and patterns
  4. Gradual Rollout: Phased migration with parallel operation support

Breaking Changes

  1. API Updates: New MCP-based API endpoints (backward compatibility maintained for 6 months)
  2. Configuration Format: Enhanced YAML structure for agent definitions
  3. Security Policies: Updated authentication requirements for enterprise features


🛠️ Bug Fixes & Improvements

Resolved Issues

  1. ✅ Fixed concurrent agent execution conflicts
  2. ✅ Improved memory usage for large dataset processing
  3. ✅ Enhanced error handling in workflow transitions
  4. ✅ Resolved citation accuracy issues in SourceSnips
  5. ✅ Fixed dashboard refresh issues with real-time metrics


Performance Optimizations
  1. ✅ Reduced memory footprint for idle agents
  2. ✅ Improved error recovery and retry mechanisms
  3. ✅ Enhanced caching for frequent dataset operations



📚 Documentation & Resources


New Documentation 

  1. 📖 Agent Fleet Quick Start Guide: Complete setup walkthrough
  2. 📖 Visual Workflow Builder Manual: Comprehensive design patterns
  3. 📖 MCP Integration Reference: Tool development and integration guide



🎯 Next Steps

Ready to transform your organization with autonomous AI agents? Here's how to get started:

  1.  Expert Consultation: Schedule a 30-minute consultation with our solutions team


Contact Information:

  1. 💬 Sales: Schedule Demo
  2. 📧 Support: support@inteligems.io

Commercial Model & Ownership

InteliGems is a systems integrator (professional services). Odyssey AI 3.0 is open‑source and free; clients pay us to configure, integrate, and deploy governed agents in their own environments (on‑prem/VPC). All work is delivered under retainer or fixed‑fee statements of work. Clients own the software and configurations—no per‑seat limits, no vendor lock‑in.



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