Praxos Launches Context Management Tool for AI Agents

Founders Lucas and Soheil have introduced Praxos, a context management platform designed to help developers build stateful AI agents that avoid common production pitfalls. The tool transforms unstructured and structured data into a semantically typed Knowledge Graph, enabling AI to query and act on information without errors.

Key Features

• Unified Data Parsing: Praxos processes diverse data sources—PDFs, APIs, databases, and conversational messages—into a single Knowledge Graph.
• Dynamic Learning: Intermediate and user-edited outputs can be added back to the graph, allowing real-time updates.
• Error Reduction: Explicit relationships in the graph prevent hallucinations and cascading errors common in multi-step AI tasks.

Origins of Praxos

The founders identified critical pain points while working in insurance tech, where LLMs struggled with:

1. Complex Document Parsing: Property schedules (50+ pages of mixed formats) required manual linkage of semantic and spatial data, often leading to lost or hallucinated relationships.
2. Cascading Errors: Repeated retrieval and updates in multi-chain workflows introduced instability.

How It Works

1. Ontology-Based Organization: Predefined schemas guide how data is stored and interpreted.
2. Seamless Processing: No pre-processing (OCR, chunking) is needed—just upload files and select an ontology.
3. Intelligent Retrieval: Combines graph traversal, vector similarity, and key-value lookups to return entities, connections, and contextual sentences.

Availability

A free tier (200-page cap) is now live for early adopters: Sign Up Here. The SDK supports end-to-end data extraction and updates.

Community Feedback

Developers are invited to join the Discord to share insights and shape Praxos’ future.

"We’re solving the ‘context gap’ that breaks AI in production," says the team. "Now, relationships in data are first-class citizens."