open-source

Treenix is a typed runtime for building software shared between humans and agents. The repository describes an ECS-style tree of typed components with context-aware rendering, server actions, React views, access rules, realtime updates, and MCP tools.

Raidho is an open-source coding agent that separates planning and execution across different model providers and adds durable VSA-based memory across runs. The repo includes install steps, provider options, CLI usage, and benchmark evidence.

Local-first encrypted memory engine for AI agents, built in Rust with MCP support and persistent cross-session memory for Claude and other MCP clients.

Open-source relay for user-authorized AI sessions. Lets app builders connect users to ChatGPT, Grok, or GitHub Copilot subscriptions via OAuth, then call models through a relay using the OpenAI SDK or a React component.

Open-source Go runtime for autonomous multi-agent systems. Swarm models work as durable state machines, persists state, supports replay/fork, and integrates with multiple LLM backends.

Open-source context layer for analytics/data agents that builds warehouse context from approved metrics, joins, wiki knowledge, and semantic-layer sources, with CLI and MCP support.

An open-source Python support agent that uses SynapCores as the agent brain for memory, retrieval, semantic tool routing, and generation. The repo includes a quick start, local Docker setup, example commands, and a traced demo of the agent loop.

Open-source database of AI model specs, pricing, and capabilities, with an API and provider logos for builders to look up and reuse model data.

An open-source TypeScript framework for building reactive AI agents around a shared agentic environment. The README explains the event model, participant types, and basic installation and usage.

Local encrypted vault that captures supported AI assistant sessions from Claude, Codex, Cursor, OpenClaw, and similar tools, then normalizes and stores them for search and review.

A CLI proxy that lets Claude Code run against DeepSeek V4 Pro, OpenRouter, Fireworks AI, or Anthropic-compatible backends while keeping the same agent workflow.

Open-source harness for executable security regression testing of agentic applications and MCP-integrated systems, with scenario files, policy assertions, trace-based evaluation, and JSON output for CI or local use.

A macOS desktop workspace for AI-assisted development that combines chat, Kanban, repo browsing, subagent tracking, and local code review.

A Python SDK that provides LiteLLM-style model routing and translation with a smaller surface area. It supports completions, streaming, embeddings, tool calling, async variants, provider mapping, and local OpenAI-compatible backends.

ObserverBench is an interactive benchmark and guided demo for testing whether internal AI monitoring methods help make safer decisions, not just better predictions. It includes real-model results, benchmark tasks, and a no-login walkthrough showing how warning scores affect review and harm that slips through.

Open-source text-to-SQL engine tuned to your own database, with configurable pipeline stages, policy checks, and an evaluation harness for measuring performance on real schemas.

A Linux desktop app for managing multiple AI helpers with separate roles, memory, provider connections, and isolated computer workspaces.

Hazzel is a small terminal coding agent for working directly in a codebase. It reads files, edits with diff approval, runs commands with permission, and supports git-aware actions, with multiple model providers and bring-your-own-key setup.

Open-source ticket system release with internal agent chat, ticket handovers, scheduled report delivery, customer/web form processes, CMDB links, and FAQ attachments.

brw is a semantic browser control tool for agents. It runs a real visible Chrome/Chromium browser and exposes control through MCP and HTTP, with stable refs, semantic page snapshots, and post-action observations.

A fully local voice-controlled 3D sandbox where a sassy robot turns spoken commands into voxel builds. The repo explains the stack, runtime requirements, service contracts, controls, and tests.

An open-source Stripe-like payment layer for AI agents and paid MCP tools, with spend authorization, per-call charging, and settlement flows for test credits in beta.

A self-hostable MCP endpoint that centralizes accounts, memory, skills, secrets, and access controls for AI agents. It supports multiple providers, profile-based permissions, audit logs, and deployment on your own machine or cloud.

A local CLI that records a codebase’s behavior and gates AI-driven refactors against a frozen baseline. It runs declared probes, compares outputs byte-for-byte, and returns a simple pass/fail signal for agent workflows.