#llm

FastroAI wraps PydanticAI with production essentials: cost tracking in microcents, multi-step pipelines, and tools that handle failures gracefully.

LLM agent evaluation framework with 7 Harness Gates (A–G) and 58 metrics. Supports LangChain, CrewAI, AutoGen, DSPy, PydanticAI. Native LLM-as-Judge, OTEL tracing, FastAPI dashboard.

Block engine for AI-composable web apps — snap-together 'Lego' blocks + the AI catalog contract (manifest → validate → render static HTML).

DataForSEO API modelcontextprotocol server

An opinionated full-stack agent harness with native memories, long running tasks, and multi-agent relay

Evi — local-first personal AI assistant (CLI + web + desktop) over local LLM backends

Fast, pure-Go document-to-Markdown conversion for PDFs, Office files, HTML, CSV, ZIPs, and text—available as a CLI and modular library.

Your backlog is your agent's memory

Provider-agnostic multi-LLM abstraction for the Greentic platform

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Your prompts need tests too. Run prompts against real datasets, score outputs with LLM judges, version everything, and compare runs to see what got better.

Agentic engineering supersystem — one CLI to run the full /mavis-ship chain. Bundles 38 curated integrations + 1890 skills + the v2.7.1 arsenal (orchestrate.py + catalog.py + autopilot + mavis-ship-uni + big-boss persona). MIT.

Shrinks your AI agent's tool output so it burns fewer tokens, without changing what the agent reads. Lossless by default, no decode step.

distributed agent framework

A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.

Providing unified trait abstractions for AI models

A pure-Go, single-file AI memory and knowledge graph library and plugin.

Smart Ai Voice Assistant written in Python

Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results

Provider-agnostic TypeScript agent SDK — pluggable providers, built-in tools, skills, memory, and MCP

An AI-driven dynamic protocol fuzzer for the Model Context Protocol (MCP). Prove runtime exploitability by discovering state violations, transport crashes, and application-layer logic flaws (SSRF, LFI) before your AI agents do.

该仓库未发布描述。

Unofficial Go SDK for E2B cloud sandboxes — create, manage, and run commands in secure microVMs.

Run any local LLM engine, auto-tuned to your GPU — polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first.

31 MCP tools that give Claude, Cursor and any MCP client the live web — scrape, crawl, search, real Google rank, change tracking, document parsing, plus an autonomous agent that researches from a plain-English prompt with no URLs. Clean Markdown and schema-validated JSON, not raw HTML. Local-Ollama extraction by default. MIT, 1,000 free credits.

Route inference calls to different providers based on a fallback condition, or a routing rule you define.

yet another tElegram bot api library for node.js (deno and bun TOO!!!!!!!!!!!!!!!)

Multi-agent collaboration platform for persistent, proactive AI agents across rooms, workspaces, skills, and external services.

Reusable Rust engine (crate) for self-hosted advisory AI PR reviewers — reviews GitHub, GitLab & Bitbucket PRs. Line-anchored inline comments, committable suggestions, tree-sitter structural context, OSV.dev CVE scans. Ships as one binary (npm, PyPI, crates.io, curl) with JSON output, so the bot around it can be any language that spawns a process.

Local MCP server that helps coding agents stop re-reading the same code every turn. Repository intelligence, cache-write optimization, and long-term session memory. 100% local. No API keys.