The workspace to stay in the loop and on top of agents - shape, decide, plan, annotate, review code, share with team, and send all feedback to agents with one click.
- claude-code
- opencode
- obsidian
- pi-mono
Repository Index
65,264 visible repositories in the index
1–14 of 14 · Most stars
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
- agent
- agentic-ai
- agentic-framework
- agentic-rag
The visual feedback tool for agents.
Instant REST and MCP APIs for PostgreSQL and MySQL, on existing or new databases. CRUD, custom SQL routes, auth and ACL without writing a backend. Low-code, ⚡ realtime, high-performance. Native MySQL support since v2.5
- postgresql
- golang
- postgres
- rest-api
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
- lancedb
- memory
- openclaw
- openclaw-agent
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
- architecture
- code-quality
- developer-tools
- mcp
Studio-grade sound effects for agents: search Pixabay, Freesound, Mixkit and Kenney, ranked by human feedback
Open-source backend for Kepler.gl. Self-hosted alternative to CARTO and Foursquare Studio.
- athena
- bigquey
- deck-gl
- gis-platform
Open-source embodied agent framework: execution, feedback, and continual improvement
- agent-harness
- ai-agents
- continual-learning
- embodied-ai
Copilot skills for building feedback loops, delegating safely, and moving repeatable work into automations.
An auditable, reversible, evaluable local agent runtime that turns feedback into skills — and ships them only when evidence and tests say so.
CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.
Inline review tool for MDXG markdown — capture highlighted comments and export them as structured JSON for LLM agents.
- annotations
- feedback
- human-in-the-loop
- inline-comments