Agentic Framework. Integrate AI Naturally.
Cognito is the first self-adaptive agentic framework that goes beyond simple AI integration. It empowers artificial intelligence to improve itself. Cognito handles model management, agent definition, tool orchestration, and implementation of the skills necessary for their operation. But most importantly, it automatically collects execution metrics and continuously optimizes every agent and tool without human intervention. Your AI systems become more performant, cost-effective, and reliable with each use.
Self-Adaptive Agentic Framework
Continuous optimization through operational metrics
Cognito is the first agentic framework that automatically improves by collecting and analyzing its own execution metrics. Every agent, every tool becomes more efficient with each use. Additionally, the AI is empowered to identify and request the tools it needs to accomplish its tasks optimally.
Autonomous continuous improvement across 3 dimensions
Cognito distinguishes itself through its unique continuous auto-optimization capability. As soon as an agent or tool is integrated, it automatically begins collecting metrics and improving, without human intervention.
- ⚡
Execution Time
Automatic monitoring and optimization of execution time
- •Each agent automatically measures its own execution time
- •Complete traceability of time for each tool used
- •Automatic identification of bottlenecks
- •Continuous optimization of execution sequences
- 💰
Usage Costs
Automatic reduction of operational costs
- •Each tool automatically records its usage costs
- •Continuous and automatic updates with each execution
- •Intelligent selection of optimal cost/performance model
- •Cost forecasts based on actual history
- ✨
Result Quality
Continuous improvement of accuracy and reliability
- •Integrated voting system between agents and tools
- •Automatic cross-validation of results
- •Continuous learning of success patterns
- •Progressive reduction of errors and hallucinations
Core Capabilities
- 🤖
Model Management
Unified support for different AI providers and models.
- •OpenAI, Anthropic, Azure OpenAI integration
- •Automatic model switching
- •Cost and quota management
- •Performance optimization
- 👤
Agent Definition
Create specialized agents with precise roles and capabilities.
- •Declarative agent configuration
- •Persona and instruction management
- •Specific skill attribution
- •Agent hierarchy and delegation
- 🔧
Tool Orchestration
Connect your systems and expose them as tools usable by agents.
- •Simple tool definition
- •Automatic parameter validation
- •Error handling and retry logic
- •Complete call traceability
- 💡
Skills Management
Create, modify, and assign skills to agents to define their capabilities and enable them to accomplish specialized tasks autonomously.
Cognito Architecture
- 🎯
Agent Layer
Definition, configuration, and execution of intelligent agents
- •Context Management: Intelligent maintenance of conversational context and automatic compression (beta).
- •Robust Error Handling: Automatic retry, fallback, and graceful recovery on failure.
- 🔌
Tool Layer
Connection with your existing systems and APIs
- •Extensibility (beta): Plugin architecture to easily add new tools and skills.
- •Integrated Security: Input validation, output filtering, and secure credential management.
- 🧠
Model Layer
Abstraction and management of different LLMs
- •Multi-Model Support: Use different models for different tasks, optimizing costs and performance.
- 👁️
Observability
Complete monitoring, tracing, and debugging
- •Detailed logs, distributed traces, and metrics for monitoring and debugging.
Use Cases
Intelligent Automation
Autonomous agents that execute complex workflows by interacting with your systems.
- Exemple: Customer support agent that analyzes requests, accesses internal systems, and resolves issues automatically.
- Automatic ticket processing with intelligent escalation
- Autonomous customer onboarding process management
- Monitoring agents that detect and resolve incidents
Intelligent Automation
Analysis and Insights
Agents specialized in analyzing complex data and generating reports.
- Exemple: Financial analysis agent that examines transactions, identifies anomalies, and generates recommendations.
- Predictive trend analysis with multi-source correlation
- Anomaly detection with automatic root cause investigation
- Executive report generation with intelligent synthesis
Analysis and Insights
Development Assistance
Agents that help developers with code generation, reviews, and debugging.
- Exemple: Development agent that generates code, writes tests, and proposes optimizations.
- Standards-compliant code generation with tests and documentation
- Automatic code review with vulnerability detection
- Debugging assistant that analyzes logs and proposes corrections
Development Assistance
Process Orchestration
Intelligent coordination of multiple systems and services.
- Exemple: Orchestration agent that coordinates deployment across multiple environments and systems.
- CI/CD pipeline orchestration with intelligent rollback
- Complex multi-system business process coordination
- Migration workflow management with automatic validation
Process Orchestration
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Cognito - Self-optimizing AI agents that reduce costs and improve performance.
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Cognito
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