AI Developer Tool / Agent framework
A reference implementation for intent-execution separation in LLM agents. The project uses a typed intent layer (SIF) over domain vocabularies, with a deterministic execution layer and demo domains for legal and veterinary workflows.
The page clearly describes an AI-related developer project with a concrete agent pattern, visible architecture, stack, and demo domains. It gives enough evidence for a public listing and appears useful to AI builders exploring constrained agent execution and ontology-driven workflows.
The crawl cuts off before the README finishes, so the page does not fully show setup details, example flows, or the complete REST surface. It is also not yet clear how much of the experimental approach is production-ready versus research-oriented.
Last evaluated 135 days ago. Current rank #2066. Down 1 spot in the rankings.
Sidefleet is a self-hosted control plane for running coding agents across your own machines. It routes tasks to the least busy machine with the right repo and agent, runs work in isolated git worktrees, streams progress live, and supports Claude Code, Codex, and opencode.
A local-first Node.js utility that redacts emails, phone numbers, paths, secrets, URLs, and other identifiers from LLM prompts, then rehydrates responses locally using session-based mappings.
Open-source platform for monitoring AI agents in production, detecting failures, grouping incidents into cases, and investigating root causes with trace and repository evidence.
Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents. It connects files, databases, vector stores, APIs, and MCP tools through one backend with auth, observability, and governance features.
