#llm

🤖 Autonomous Multi-Agent AI Workspace in your terminal. Codes, researches, and executes real tasks with 40+ tools and 280+ skills And Some Captcha Resolver With Only Vision Mode Any Captcha And Opening A Browser And Full Control Of It

Kimi Agent SDK provides a programmatic interface to interact with the Kimi CLI

One MCP server for all web data — search, scrape, crawl, proxy, and AI research in a single npx install. Works with Claude, Cursor, and any MCP client.

Rust based JSON repair library

TrikeDB — the single-file graph database. A knowledge graph in one YAML file, full SPARQL 1.1, built for LLM agents

ローカルLLM（mlx / mlx-vlm / llama.cpp / router）を OpenAI 互換 API として起動・管理する軽量サーバー

Claude Code plugin that delegates code review, adversarial design critique, and isolated implementation to Kimi Code over the Agent Client Protocol (ACP). Security-first: Kimi works in an isolated workspace and hands back a Git patch.

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Transform MarkdownFlow document into personalized content

Automate Ghidra reverse engineering from the command line — headless analysis, decompilation, and structured JSON output for AI agents like Claude Code

Give your agents a secure, containerized SQL sandbox with MCP or API access enabled with DuckDB. No infra required, quick spin-up cycle. Push any CSV — query, analyze, and move on.

Standalone DAG workflow engine for Go — 15 step types, MCP integration, durable Postgres execution (SKIP LOCKED), templates, approvals, crash recovery

Identity-scoped schema selection for text-to-SQL: give the model only the tables this caller may read, and 75% fewer prompt tokens.

JavaScript/TypeScript implementation of LLMLingua-2 (Experimental)

Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）

GCF Python implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.

MCP server with 30 tools for block chain data and ops— setup, token lookups, wallet balances, live chain queries using micro payment on x402.

用最少的代码复刻 OpenClaw 的 agent 运行原理

Know your documents before they reach an LLM

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An AI-assisted Kubernetes cockpit you run yourself — one binary, your kubeconfig, your choice of model (local or hosted).

Fast and powerful templates. Valid markdown. Strongly typed and great for agents. Supports Rust, Python, Go, TypeScript

LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS.

Wrapper for LLM APIs

影视资源分享文本的结构化采集、解析与网盘链接校验 - 采集/抽取/校验分层幂等，可单独重跑

A thin MCP client for humans and agents — run any Model Context Protocol server, call its tools, read its stderr, and reconnect after each edit. REPL, headless CLI, or an MCP server your agent drives. No client config edits, no restarts.

Mnemoteca — local memory for every agent

dst (data serve tool) — open-source semantic layer and MCP server between the AI your team uses and your data warehouse. Governed answers with the SQL, a grade and a receipt.

AI agent that lives in your chat apps. Controls your machine, remembers your conversations, searches your documents — with guardrails so it doesn't go rogue. OpenClaw without the bloat

Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it learns lessons from your sessions. Agent memory + context engineering as a single static Go binary.