We are open-sourcing LiteLLM Agent Platform: a self-hosted OSS agent builder for Hermes, OpenCode, Claude Code (bring your own models, Ollama/vLLM work)

Reddit r/AI_Agents 06/10/26, 03:03 AM Tools

open-source agent-builder self-hosted autonomous-agents hermes opencode claude-code

Summary

LiteLLM releases a self-hosted open-source agent platform that lets users build autonomous agents on top of Hermes, OpenCode, and Claude Code harnesses, with support for any OpenAI-compatible endpoint including Ollama and vLLM.

We wanted an easy way for anyone on our team to build autonomous agents on top of Hermes, OpenCode, Claude Managed Agents, and Cursor. As a team we believe the Hermes and OpenCode harnesses are amazing for coding, but we wanted an easy way to run them autonomously. That's why we built LiteLLM Agent Platform. Self-hosted, open source. You can come on here and: - Create an agent: pick a harness, write a prompt, attach tools and skills - Run it and watch the session live - Put it on a CRON schedule, sessions and memory persist across runs It ships with an AI gateway built in, so you can point your own models at it. Anything with an OpenAI-compatible endpoint works, including Ollama and vLLM, so a fully local stack is possible. Happy to answer questions. Also curious which harness people want supported next. I will put the repo link in the comments to follow the subreddit rules.

Original Article

Similar Articles

@ishaan_jaff: We're open sourcing LiteLLM Agent Platform Run Claude Code, Codex, Hermes or any coding agent in isolated K8s sandboxes…

X AI KOLs Timeline

LiteLLM is open-sourcing its Agent Platform, allowing developers to run coding agents like Claude Code, Codex, and Hermes in isolated Kubernetes sandboxes without exposing real API keys.

NousResearch/hermes-agent

GitHub Trending (daily)

Hermes Agent is an open-source, self-improving AI agent framework by Nous Research featuring a closed learning loop, cross-platform deployment, and compatibility with hundreds of LLMs. It provides a terminal interface, persistent memory, automated scheduling, and research-ready tooling for scaling AI workflows.

Proxy for LLMs to learn how Agents works?

Reddit r/AI_Agents

User seeks an open-source proxy to intercept and debug API calls from AI agents to understand their internal workings, after finding LiteLLM too enterprise-focused.

I built AgentLighthouse, a local “Lighthouse for AI agents” that scans repos/docs/APIs for agent readiness

Reddit r/AI_Agents

AgentLighthouse is a local-first tool that scans repositories, docs, and APIs to assess how well AI coding agents (like Codex, Claude Code, Cursor) can understand and use a project. It checks for agent instruction files, documentation quality, setup clarity, OpenAPI operation quality, MCP tool descriptions, and more.

lobehub/lobehub