Context is king. Talks and demos from engineers shipping AI agents in production.

Member of Technical Staff · Chroma

A live preview of Chroma's specialized 20B-parameter agentic search model — frontier-level retrieval at a fraction of the cost and up to 10× the inference speed.

Co-Founder & AI Lead · Flow AI

A look at the harness Flow AI built for production data agents — search structure, memory pointers, multi-tenancy.

Founder & CEO · StackOne

A demo of building production integrations for AI agents.

Founder · The Token Company

A demo about the effects of compressing context for real-world use cases.

Co-Founder & CTO · ConfidentialMind

How context becomes the real interface between humans, agents, and production systems – powering workflows across engineering, product, and sales.

Software Engineer · Hugging Face

Rewriting developer tools so AI agents can actually use GPU infrastructure without misconfiguration and bugs.

VP Product Engineering · F-Secure

Bridging the gap between vision and practice in company-wide context engineering, with live demos featuring Claude Code.

Staff Software Engineer · Aiven

Comparing rules and skills through AI-driven unit test refactoring – with real results from Aiven's experiments.

Co-Founder & CTO · GitHits

Demo: Open-Source Code as Context for Coding Agents.

Co-Founder & CTO · Kaiku

Demo: Shared Context Across Teams and AI Agents.

Demo: From JIRA Ticket to PR – Autonomous Agent Orchestration.

Co-Founder & CTO · Factory

Context compression for coding agents. They built an eval framework to measure how much context different compression strategies actually preserve across long-running agent sessions, and tested it against approaches from OpenAI and Anthropic.

Head of Databases · Aiven

Why your agent is flying blind without data context. A demo showing the difference between operating with and without rich metadata, and how MCPs are turning static data catalogs into real-time context layers agents can reason with.

Co-Founder & CTO · ConfidentialMind

Context and RAG in practice. A walkthrough of a real RAG failure, fixed step-by-step using hybrid retrieval, metadata and scope filtering, and retrieval tracing – three practical "context knobs" used in production.

Co-Founder & CTO · Daylit

Context gaps in finance.

CPTO · Daily / Pipecat

Short-term and long-term tasks in voice AI.

Co-Founder & CEO · Nango

MCP's production gap: what customer-facing agents actually use.

Senior Tech Lead · Apify

Real-time web data for agent context with Apify MCP.

Founder · Datakor

A Brief History of Context: the Evolution of Metadata.

AI Product Director · Aiven

Why Your Data Catalog is Your AI's Brain.

Co-Founder & CTO · Flow AI

Building Reliable Data Agents with a Semantic Context Layer.

Head of AI · ConfidentialMind

Context and RAG in Practice.

Co-Founder & CTO · Realm

Context Management for Agentic RAG.