2.7K RESULTS · “ai-agent”
v1.2.1 · MIT
Website facts for agents: HTTPS/certificate checks, public site info, small local-business search.
v2.2.2 · MIT
Chat with your Zihin.ai agents, list them and load platform skills from any MCP client.
v0.2.0 · MIT
One inbox for all your addresses: your AI agent reads, sorts, drafts and sends with your permission.
v0.1.3 · MIT
Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.
— · MIT
Make a presentation with your coding agent. Preview two slides, approve, then build and export to PowerPoint or PDF. Works with Claude Code, Codex, Gemini CLI, OpenCode, Cursor, and other SKILL.md agents.
v0.12.0 · MIT
Query your AI agents' traces, errors, cost and alerts in Rius, the agent observability platform.
v0.1.1 · Apache-2.0
The context layer for your company's AI: your team's decisions, meetings and plans, with sources.
v1.0.1 · MIT
Memory for AI agents that knows what is still true. Typed bi-temporal facts, EU-hosted.
v1.2.2 · MIT
Lead lists, company lists, grants and jobs from the live web, for your agent. Priced per match.
v1.0.2 · MIT-0
Agent Auto Log: MCP servers, skills and plugins, with an automatic log of every change.
v0.2.1 · MIT
The context layer for the physical world: filmed spaces as cited context for agents.
v2.0.0 · MIT
Project memory for AI agents: read and keep the user's Listspace boards up to date.
v0.20.2 · MIT
Structural code intelligence for AI agents: real call graphs, blast radius, and change history.
v0.1.0 · MIT
Kanban board for AI coding agents: they claim cards, report progress, ask you when blocked, ship.
v1.0.0 · MIT
Find AI agents (A2A, MCP, API) with tested badges: search, read cards, relay messages, list agents.
v3.0.1 · MIT
Get a real human to verify, decide, or improve an AI agent's work. Pay per review via x402 on Base.
v0.2.0 · AGPL-3.0
Public behavioral test environment for AI agents with stateful rides and signed scorecards.
v0.1.6 · Apache-2.0
Execute supported agent tasks through verified providers with fallback and durable outcomes.
Checks whether an agent's actions actually happened, against the destination's own records.
v0.6.13 · MIT
Automatic provider/model fallback chains for DeepSeek Harness agents when LLM requests keep failing (retry exhausted, auth, quota, rate limit)
v2.8.5 · MIT
Multi-agent mathematical problem-solving & verification frameworks for DeepSeek Harness — FOUR agent presets in one install: vibe-math-v2 (probability-driven, classic: qs.json + Propos knowledge base + explorer→solver→review/debate verdict), vibe-math-v3
Claude Code development standards — rules, hooks, agents, commands, and skills
Browser automation CLI for AI agents. NEVER run browser-act commands directly via Bash — always invoke this skill first. Use browser-act when a user mentions it by name, includes or asks to run a browser-act CLI command (e.g., browser-act browser list), or to: fetch, view, or extract rendered conten
Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on source code — never implements, fixes, or refactors anything itself. Use when asked to audit a codebase, find improvement opportunities (bugs