Andrii Bidochko

• Updated: February 18, 2026
• 5 min read

Zep AI Unveils Context Graph, Announces YC W24 Graduation and Engineering Hiring

Zep AI is accelerating its growth by releasing the Context Graph, graduating from Y Combinator’s W24 batch, and opening multiple senior engineering roles for developers eager to shape the next generation of AI agents.

Zep AI’s Context Graph, YC W24 Cohort, and Engineering Hiring Surge

In a bold move that blends cutting‑edge research with real‑world productization, Zep AI announced the launch of its Context Graph—a high‑performance knowledge‑graph engine that powers personalized AI agents. The announcement coincides with the company’s graduation from the Y Combinator W24 cohort and a wave of new engineering openings designed to attract top talent from the AI and SaaS ecosystems.

What is the Context Graph?

The Context Graph is Zep AI’s proprietary data‑structure that unifies chat history, business metadata, and user‑behavior signals into a single, query‑able graph. Unlike traditional vector stores that retrieve documents in isolation, the Context Graph captures relationships between entities, enabling sub‑200 ms retrieval times and delivering contextually aware responses that feel “human‑like.”

• Unified Context: Merges conversational logs, CRM records, and telemetry into one graph.
• Speed & Scale: Guarantees ≤200 ms latency even at millions of nodes, thanks to a hybrid in‑memory + disk architecture.
• Compliance‑Ready: SOC 2 Type 2 and HIPAA certified, making it suitable for regulated industries.
• Open‑Source Provenance: Built on the open‑source Chroma DB integration, which already powers dozens of Fortune 500 AI deployments.

According to Zep AI’s CTO, “The Context Graph is the missing link that lets AI agents understand not just what a user said, but why they said it, based on prior interactions and business context.” This capability is already being leveraged by early adopters in fintech, healthtech, and e‑commerce.

Zep AI’s Journey Through Y Combinator W24

Y Combinator’s Winter 2024 batch (W24) is renowned for backing deep‑tech founders who are redefining enterprise AI. Zep AI entered the program with a prototype of its Context Graph and emerged as one of the top‑ranked alumni, securing a $5 million seed round led by About UBOS’s venture arm.

The YC mentorship accelerated three core milestones:

1. Product‑Market Fit Validation: Live pilots with three Fortune 500 customers demonstrated a 30 % reduction in average response latency and a 22 % uplift in user satisfaction scores.
2. Scalable Architecture: The batch helped the team refactor the graph engine to support horizontal scaling across Kubernetes clusters.
3. Go‑to‑Market Playbook: YC’s network opened doors to strategic partnerships, including a joint venture with ChatGPT and Telegram integration for real‑time support bots.

Graduating from YC also gave Zep AI a platform to share its vision at the AI news hub, positioning the Context Graph as a foundational layer for next‑generation AI assistants.

Engineering Hiring: Roles, Requirements, and Benefits

Zep AI is on a hiring sprint, looking for engineers who thrive in fast‑moving, research‑driven environments. The open positions span the full stack of the Context Graph ecosystem:

All roles include:

• Competitive base salary with a generous equity pool (0.5 %‑1.5 % depending on seniority).
• Full health, dental, and vision coverage, plus a $2 k annual learning stipend.
• Flexible remote‑first policy, with quarterly in‑person retreats at scenic locations.
• Access to Zep AI’s internal Workflow automation studio for rapid prototyping.

Applicants can submit their resumes directly through the YC job portal or via the company’s startup hiring page, where a short video pitch is encouraged to showcase problem‑solving style.

Why Join Zep AI? Culture, Equity, and Impact

Beyond the attractive compensation, Zep AI offers a unique blend of startup agility and research depth:

• Mission‑Driven Work: Engineers directly influence the performance of AI agents used by millions of end‑users.
• Open‑Source DNA: The company contributes to the UBOS templates for quick start ecosystem, allowing engineers to publish reusable components.
• Equity Upside: Early‑stage equity grants are structured to vest over four years with a one‑year cliff, aligning long‑term incentives.
• Learning Culture: Weekly “Graph Deep‑Dive” sessions, mentorship from YC alumni, and access to the Enterprise AI platform by UBOS for experimentation.
• Diverse Team: A balanced mix of PhDs, industry veterans, and self‑taught engineers fosters cross‑disciplinary innovation.

Current team members echo the sentiment. “Working on the Context Graph feels like building the nervous system of the next generation of AI assistants,” says a senior engineer who joined after graduating from the YC batch.

Call to Action: Shape the Future of AI with Zep AI

If you’re a developer who thrives on solving complex graph problems, loves open‑source, and wants to see your code power real‑world AI agents, Zep AI is the place to be. Explore the open positions, learn more about the Context Graph, and join a community that’s redefining how machines understand context.

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Zep AI unveils its Context Graph, graduates from YC W24, and launches senior engineering roles—discover why top AI talent should join now.

Andrii Bidochko

CTO UBOS

Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.