agents

Google’s Gemini 3.8 Flash model page for developers, describing a high-speed multimodal model with support for agents, function calling, structured outputs, code execution, file search, computer use, and long context.

A stateless command-line client for Gemini that lets coding agents, shell scripts, and CI pipelines generate text and media, analyze files, and run managed agents from the shell.

An MCP server and CLI for shared notebooks for agents, with pull/commit workflows, durable S3 storage, and text-based conflict handling.

OpenWiki is a CLI for generating and keeping agent-oriented documentation up to date for a codebase. The repo shows installation, init and update commands, interactive and one-shot usage, and support for multiple model providers.

Open-source shared memory for AI coding agents. Motif collects sessions from tools like Claude Code, Codex, and Cursor into a self-hosted graph of decisions, files, and session history, with MCP access, recall, and conflict checking.

KinoPipe is an FFmpeg-as-a-service platform for AI agents and developers, offering typed video-editing tools over MCP and REST. The page shows supported actions like trim, resize, compress, subtitles, and scene splitting, plus playground access, pricing, and deployment details.

A provenance-aware memory layer for AI agents that stores user facts, interaction history, and third-party claims with source tracking and quarantine rules.

Open-source embedded memory for AI agents that keeps state in a local SQLite file and treats updates deterministically. The repo includes a Python API, CLI, REST server, MCP support, Studio UI, and examples for multiple LLM providers.

A read-only CLI that inventories AI agents, MCP servers, plugins, and AI extensions on a machine and explains what each one can access.

A CLI and TUI for managing UniFi network controllers, with scripting-friendly output and an AI agent skill bundle for automated network tasks.

Go SDK for building AI-backed apps and endpoints with streaming, tool calling, structured output, and React frontend compatibility.

Coasty is a computer-use API for running autonomous tasks on managed Linux or Windows machines, building multi-step workflows, and dropping down to lower-level prediction primitives when needed.

Disposable, network-restricted Linux VMs for AI coding agents. The project is built for letting coding agents install packages, run tests, use system tools, and work inside an isolated machine instead of the host laptop.

CLI for maintaining agent-edited Markdown wikis and indexed knowledge bases, with commands for initializing, syncing, linting, searching, and reading wiki content.

An OTP-native Elixir library for building AI agents, durable LLM workflows, retrieval pipelines, and production LLM services.

Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.

A vocabulary-driven graph memory library for AI agents, with storage backends, indexing pipelines, and MCP servers for building persistent structured memory into agent workflows.

OpenAI’s SDK docs for programmatically controlling local Codex agents, with coverage of setup, core concepts, tools, orchestration, evaluation, and deployment paths.

Evidence-based grading for Claude Code skills, agents, slash commands, MCP configs, and plugins, with file-and-line findings, scorecards, badges, and a local/CI workflow.

Open-source execution runtime for production agents. It records tool and LLM calls as durable steps, supports resume after interruption, and lets teams allow, deny, or approve steps with human oversight.

Open-source agentic workspace for teams that combines apps, chat tools, integrations, models, and agents in one local-first environment with shared memory.

fenic is an open-source Python framework for semantic DataFrames, letting you use LLM-powered operators like extract, classify, summarize, and embed inside query pipelines.

CLI for testing and improving documentation with simulated developer agents. It checks whether docs are clear enough for agents to complete real tasks, reports where they get stuck, and can generate proposed edits.

Open-source, self-hostable sandbox for AI agents. It lets agents work inside isolated Linux containers through MCP tools, with CLI and host-level admin controls for creating, managing, and exposing boxes.