The Brain team open-sourced Brain, an MIT-licensed Rust runtime for persistent agent services, in an early preview announced on Reddit seeking feedback. Brain separates the agent decision loop, which compiles to Wasm, from the runtime that handles session state, model and tool I/O, streaming, cancellation, restart recovery, and journaling. It targets agents that have outgrown simple scripts, where infrastructure rather than the model loop is the hard part.
A developer launched KISS on GitHub, a performant agent harness written in Rust and modeled on the Pi harness, created after frustration with Pi's performance. It targets practitioners who want an embeddable, multi-language agent runtime.
A developer launched KISS on GitHub, a performant agent harness written in Rust and modeled on the Pi harness, created after frustration with Pi's performance. It targets practitioners who want an embeddable, multi-language agent runtime.
A developer open-sourced 'brain' (github.com/aexhq/brain), a minimal, extensible agent runtime inspired by Anthropic's managed agents engineering post and pi.dev. It targets production agent use cases the author found too rigid in LangChain and Mastra. For practitioners, it offers a lightweight alternative with sub-second cold starts and a small compiled footprint.
A developer open-sourced 'brain' (github.com/aexhq/brain), a minimal, extensible agent runtime inspired by Anthropic's managed agents engineering post and pi.dev. It targets production agent use cases the author found too rigid in LangChain and Mastra. For practitioners, it offers a lightweight alternative with sub-second cold starts and a small compiled footprint.
Rebuno is an open-source runtime that manages execution state and guardrails for AI agents in production, regardless of the framework they were built with. Agents submit tool and model calls as steps before executing them, and Rebuno evaluates each step against per-agent YAML policies, allowing, denying, or holding calls for human approval. It solves the problem of safely operating agents built with different frameworks in production environments.
Rebuno is an open-source runtime that manages execution state and guardrails for AI agents in production, regardless of the framework they were built with. Agents submit tool and model calls as steps before executing them, and Rebuno evaluates each step against per-agent YAML policies, allowing, denying, or holding calls for human approval. It solves the problem of safely operating agents built with different frameworks in production environments.
Cybara is a fully open-source, MIT-licensed AI agent platform built with TypeScript and Bun. It combines agents, tools, plugins, skills, MCP, ACP, LSP, browser and desktop automation, model routing, provider plan tracking, messaging integrations, memory, multi-agent workflows, and web, terminal, desktop, and mobile interfaces for all OS platforms. It solves the problem of needing a single self-hosted stack to control agents, tools, models, and runtime.
Cybara is a fully open-source, MIT-licensed AI agent platform built with TypeScript and Bun. It combines agents, tools, plugins, skills, MCP, ACP, LSP, browser and desktop automation, model routing, provider plan tracking, messaging integrations, memory, multi-agent workflows, and web, terminal, desktop, and mobile interfaces for all OS platforms. It solves the problem of needing a single self-hosted stack to control agents, tools, models, and runtime.
Cadenya is a hosted agent runtime where your existing APIs or MCP servers serve as tools in a managed agentic loop. It is model-provider agnostic, accepting OpenRouter or any OpenAI-compatible endpoint for inference. It targets developers building agents who want tool integration, model flexibility, and frontend deployment without self-managing infrastructure.
Cadenya is a hosted agent runtime where your existing APIs or MCP servers serve as tools in a managed agentic loop. It is model-provider agnostic, accepting OpenRouter or any OpenAI-compatible endpoint for inference. It targets developers building agents who want tool integration, model flexibility, and frontend deployment without self-managing infrastructure.