#ai-agents

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Laravel-flavoured API over the WordPress Abilities API: declare abilities that AI agents and automation tools can discover and invoke.

Records why your code exists, and tells the next agent.

Kalshi CLI — Go command-line client for Kalshi Trade API v2 with versioned, schema-validated JSON output.

Production-ready agentic AI framework in Go; build scalable reasoning agents with native tool calling, memory & observability. Anthropic · OpenAI · Gemini · Groq

An MCP server for maximilien/weave-cli which is a universal CLI for vector DBs to help view, list, create, delete, and query collections and documents in collections for development, test, and debugging purposes

🔷 Recursive decomposition workflow for AI coding agents — small confirmable design steps instead of mega-diffs. Installs /prism slash commands for Claude Code, Cursor, Codex, Gemini & more

Agent Session Manager - A comprehensive Elixir library for managing AI agent sessions, state persistence, conversation context, and multi-agent orchestration workflows

Agent FileBrowser for DeepSeek Harness

Agent Identity Protocol - Zero-trust security layer for AI agents. Policy enforcement proxy for MCP with Human-in-the-Loop approval, DLP scanning, and audit logging.

AI agent information, discovery, and configuration

Open-source infrastructure for AI agents — each gets an email address, folder, inbox, and API key. Move files through named inboxes instead of shared cloud credentials; signed receipts and MCP built in. Human email verification can unlock 5 GB transfers, durable storage, outbound email, and an HTTPS app subdomain. One Go binary, MIT.

Agent-to-agent messaging for AI swarms. MCP-native, single binary, local-first.

The automation engine built for AI agents. Workflows, memory, and 100+ integrations — one API key.

repomap: token-budgeted repo map for AI coding agents. Walks any repo, ranks files by import refs, emits orientation in under 4000 tokens. Stdlib-only Go, zero deps, tree/JSON/HTML. go install github.com/AkashPriyadarshii/repomap/cmd/repomap@latest

TraceOn is an MCP server that Claude Code calls after editing code to verify the change actually works end-to-end. It runs a Playwright test the agent wrote, correlates browser evidence with backend traces and logs via OpenTelemetry, ranks the evidence into a compact packet, and returns a structured VerificationResult that the agent reasons over.

In-repo markdown task board for humans and AI agents - a single-binary CLI/TUI, no daemon, git stays yours.

The Fastest enterprise AI gateway — route LLM traffic across OpenAI, Anthropic, Gemini, Groq & 30+ providers via a single API. Self-hosted, no vendor lock-in. ( 55x faster than litellm )

AI-built, self-hosted durable workflow automation in one Go binary. Describe a workflow in natural language; your AI coding CLI (Claude Code / Codex) writes production Go over MCP; a durable runtime executes it with checkpointing, replay, and zero-downtime credential rotation. Fair-code (source-available).

该仓库未发布描述。

该仓库未发布描述。

Open-source protocol for managing AI resources with dependency/package semantics across agents.

Workspace context manager for AI coding agents: name your Claude Code sessions, resume them in one keypress, and carry context across sessions

Git Issues Extension for Agentic AI Task Management

Online web discovery CLI for AI agents

AI-agent-native task tracker. Local-first, file-based, multi-VM coordination via git.

Governed AI agents that actually do the work - in the cloud or on your own machine - across business systems, real browser tabs and real Android apps. Visual builder, MCP server, and official SDKs in 9 languages.

CLI for AI agents (Claude Code, etc.) to preview Mermaid diagrams in a native frameless window. Pipe from stdin or live-preview files. macOS only for now.

A stateful, graph-based agent runtime for Go — LangGraph's core ideas in 419 dependency-free lines

Evaluate LLMs side-by-side. Benchmark AI models and coding agents across providers like OpenAI, Google, Anthropic, DeepSeek, and more. Supports custom tasks, structured JSON responses, tool use, and LLM-as-judge validation. Originally created by Petr Malik as MindTrial.