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Architecting the Next Generation of Skill-Based AI Agents

Jun 10, 2026 at 3:00 PM LinkedIn Live Hosted by Lyzr AI
Architecting the Next Generation of Skill-Based AI Agents Architecting the Next Generation of Skill-Based AI Agents

Speakers

Summary

This webinar covered “harness engineering” and Lyzr’s open-source GitAgent. Sri Soha (PM) opened with the origin story: the field moved from prompt engineering (ChatGPT’s launch, small context windows forcing heavy prompting) to context engineering (RAG, memory, tool calling, once context windows grew) to now harness engineering, the environment needed for agents to actually execute multi-step, multi-tool tasks rather than just answer queries. She flagged a real risk along the way: frameworks like LangChain built context engineering into their own ecosystems, creating platform lock-in (and monetizing deployment via LangSmith). The second “big bang,” OpenCode-style agents (Claude Code, etc.), raised the bar further but with no standard way to harness-engineer without getting locked into a framework.

Lyzr’s answer is twofold: OpenGAP (Open Git Agent Protocol), a portable format for representing agents across harnesses so they aren’t locked into one platform, and GitAgent, an open-source, Git-native, skill-based agent harness built on that protocol. Shreyas (founding architect) then demoed GitAgent live: a personal-assistant mode with multimodal capability (camera, live conversation, journaling/memory of past interactions) and an SDK mode for building custom domain-specific agents (e.g., a PR-review agent tied to a GitHub repo). He contrasted it with OpenClaude-style agents, positioning GitAgent as more secure, fully auditable (Git-history-based), stateless/economical (spins compute up and down rather than running 24/7), and enterprise-ready (governance, budgeting, versioning across dev/prod).

Key Takeaways

  • Harness engineering is the new frontier. The field evolved prompt engineering → context engineering → harness engineering, each solving the previous era’s bottleneck, with harness engineering focused on giving agents a safe, versionable environment to execute real multi-tool tasks.
  • OpenGAP solves the lock-in problem. By defining a portable protocol for representing agents, developers can move between harnesses (GitAgent, Claude Code, OpenClaude, etc.) without being tied to one framework’s ecosystem or monetized deployment layer.
  • GitAgent = Claude Code + OpenClaude, but auditable and economical. It combines SDK-based custom agent building with personal-assistant multimodality, backed by Git-based audit trails, stateless compute (no 24/7 running costs), and skill files (markdown-based capabilities) that make agents domain-tailorable, e.g., a law firm agent or a PR-review agent.
Register Now
  • Date & TimeJun 10, 2026 at 3:00 PM
  • PlatformLinkedIn Live
  • Typelive
  • SpeakersShreyas Kapale, Sri Suhas

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