A former big-tech engineer says companies rarely run AI agents for real operational work because production-safe agents require stitching together LangChain, Temporal, observability, approval, and guardrail tooling. He released Charter, a self-hostable open-source agent platform on GitHub, so smaller teams can onboard production-ready agents without rebuilding the same stack.
Charter is an open-source platform for running autonomous agents in production on a company's own infrastructure, aimed at internal ops/infra tasks. LLMs power the agents; Charter adds the production safety layer they typically lack, like budget and compute limits and approval workflows. It replaces stitching together LangChain, Temporal, observability, and approval tooling by hand.
Charter is an open-source platform for running autonomous agents in production on a company's own infrastructure, aimed at internal ops/infra tasks. LLMs power the agents; Charter adds the production safety layer they typically lack, like budget and compute limits and approval workflows. It replaces stitching together LangChain, Temporal, observability, and approval tooling by hand.
Brain is an open-source agent platform positioned as a smaller, more flexible alternative to LangChain and Mastra, aimed at production agent use cases. It draws on Anthropic's managed agents engineering post and pi.dev. It targets developers who find existing agent frameworks too complicated or rigid.
Brain is an open-source agent platform positioned as a smaller, more flexible alternative to LangChain and Mastra, aimed at production agent use cases. It draws on Anthropic's managed agents engineering post and pi.dev. It targets developers who find existing agent frameworks too complicated or rigid.
An open-source control plane that adds a persistent operational layer on top of LangChain deepagents deployments. It lets teams govern agent fleets with features like long-lived approval requests that can persist for days. It targets developers running agent harnesses in production who need rollout and management capabilities deepagents lacks.
An open-source control plane that adds a persistent operational layer on top of LangChain deepagents deployments. It lets teams govern agent fleets with features like long-lived approval requests that can persist for days. It targets developers running agent harnesses in production who need rollout and management capabilities deepagents lacks.
Server4Agent is a hosting platform that lets AI agents deploy real applications with live URLs, secrets, permissions, and spending limits. It solves the problem of getting agent-built apps into production without manual infrastructure setup, targeting developers who use AI agents to build tools.
Server4Agent is a hosting platform that lets AI agents deploy real applications with live URLs, secrets, permissions, and spending limits. It solves the problem of getting agent-built apps into production without manual infrastructure setup, targeting developers who use AI agents to build tools.
ARK is an open-source runtime layer that checks an agent's proposed tool actions against applicable constraints and trusted evidence before they execute. Agents propose an action, ARK returns ALLOW, REJECT, or REQUIRE_EVIDENCE, with feedback sent back to the agent. It targets developers building tool-using agents whose actions are consequential, such as refunds, bookings, or record modifications.
ARK is an open-source runtime layer that checks an agent's proposed tool actions against applicable constraints and trusted evidence before they execute. Agents propose an action, ARK returns ALLOW, REJECT, or REQUIRE_EVIDENCE, with feedback sent back to the agent. It targets developers building tool-using agents whose actions are consequential, such as refunds, bookings, or record modifications.