#ai-agents

Governance-grade, OKF-compatible knowledge-base format with a single-writer MCP server and CLI. Pre-release.

Open-source control plane and runtime for organisational agents: shared company context, isolated execution, approvals and MCP.

Zero-dependency TypeScript SDK for AI agent governance: policy enforcement, injection detection, tamper-evident audit, and standards mapping (EU AI Act, OWASP, NIST, ISO 42001)

Meerkat - A modular, high-performance agent harness built in Rust.

Universal memory runtime for AI agents

Millisecond microVM sandbox forking for AI agents on Kubernetes. Firecracker VMs that restore from memory snapshots in milliseconds, fork a running VM into N copies, and persist durable, versioned workspaces. Self-hostable, declarative CRDs.

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.

A context-aware terminal-based coding agent written in Go. Supports multiple-providers, MCPs, Subagents, Agent Skills, controllable tool output retention, hashline edits, and more.

Stop AI coding agents from rediscovering large TypeScript/Node repos with task-aware local context packs.

IMAP/SMTP email for AI agents -- read, send, organize folders, and manage attachments across multiple accounts, with auto-discovery.

The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents and humans, so nothing rejected is proposed twice. No database, no daemon, no account.

The Requesty integration package for the Vercel AI SDK.

Agentic Experience for Golang

the governed runtime for agent skill workflows, off the leash but on the record

Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering.

AI governance infrastructure for agentic systems. Rust library behind systemprompt.io — MCP, A2A, OAuth2, audit trails, compile-time extensions. Evaluate with systemprompt-template.

Python and TypeScript SDKs for Algenta — self-hosted building blocks for AI applications. 6,000+ deterministic functions on custom Mojo kernels behind one API, SDK and MCP surface; no new language to learn. The engine is proprietary; the SDKs, API contract and examples are Apache-2.0. Siblings: thyn-ai/algenta-integrations, thyn-ai/mojo-kernels.

Simple, performant, battle-tested framework for building reliable AI applications.

The transparent, composable harness for TypeScript agents. The same code runs the full agent loop on a local 4B model or a frontier API, with tool-call healing, verification, and a signed evidence receipt for every run.

Define AI agent roles in YAML and run them anywhere: CLI, API server, or autonomous daemon

MCP server for Mikrotik

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). Apache-2.0.

Secure encoding-aware local workspace runtime for AI agents. Code from the web. Work locally. Recover safely.

Multiplayer infrastructure for AI agents

Python video editing with JSON plans, local AI, and MCP tools.

The open standard for AI agent integrity. Evaluate, enforce, and prove that autonomous agents are adversarially coherent, environmentally portable, and verifiably assured.

Enterprise-grade, local-first Agent Workbench for people and agent teams. A unified multi-engine workspace for Codex Harness, DeepSeek Harness, and OpenCode, with unified plugins and Skills, multi-agent projects and tasks, and editable code, documents, presentations, design, and video.

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Building TITAN — the open-source AI operating system for trusted autonomous work: agents, tools, memory, approvals, receipts, voice, mission control, and SOMA. npm i -g titan-agent

GMGN OpenAPI skills for AI Agent — query tokens, wallets, and market data, and execute on-chain trades across Solana, BSC, and Base.