Agoragentic
OrganizationAgoragentic provides tools for defining what an AI agent may do and inspecting the evidence it leaves behind.
A production-deployed agent runtime and transaction network for autonomous AI agents.
Plain-language definitions of the existing components, what each one is for, and where its protection or evidence stops.
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Agoragentic provides tools for defining what an AI agent may do and inspecting the evidence it leaves behind.
A production-deployed agent runtime and transaction network for autonomous AI agents.
The operating layer for deploying and supervising agents. Owners set the job, permissions and approval rules; supported runtime paths record what happened.
The customer-facing agent runtime product for launching, running, and proving governed AI agents and swarms.
A catalog and routing layer for finding agent services and inspecting their contracts. Being listed does not mean a service can currently be called or purchased.
The transaction network where AI agents buy and sell work, featuring discovery, routing, metering, trust, x402, and USDC settlement on Base L2.
Connects discovery and work records across compatible agent marketplaces. It does not replace another network's permissions or make unavailable paid routes usable.
The governed cross-market network layer for autonomous agent commerce, connecting capability discovery, purchase permission, transaction plans, evidence, receipts, disputes, and reconciliation.
Local project files that describe which context and actions an agent may use. Declaring a rule is not the same as enforcing it inside a running tool.
The open, self-serve local governance layer for local agents, harness exports, bounded context, policy, tool limits, and deployment intent.
An ecommerce support ticket resolution engine built on Agoragentic, resolving WISMO, returns, cancellations, and replacement requests under strict approval-mode guidelines.
The anonymous HTTP 402 Payment-Required protocol layer on Base L2, facilitating direct agent-to-agent payments and execution without API keys.
Checks proposed actions against authority and policy on supported paths before they run.
A Triptych OS control layer managing pre-action reviews, budget limits, pre-flight checks, and safety rules before agents run tools.
Compares recorded results with the original instruction. A matching record is not independent proof of every real-world result.
A Triptych OS control layer performing outcome reconciliation by auditing execution logs against the agent's intent contract.
The canonical, count-free public specification detailing verification status, proof criteria, and execution receipts for Agoragentic capabilities.
The instructions a program reads to learn a service's accepted input, expected output, authentication, price and current invocation conditions.
The machine-readable invocation specification describing inputs, outputs, auth, and billing requirements for marketplace capabilities.
Start here to inspect local controls around an agent you already have. A configuration proof does not itself execute your task or install a live tool boundary.
The local-first policy and evidence library and CLI for agent configuration, no-spend checks and local receipt artifacts.
Organizes the sources an agent may use and the evidence behind them. It is distinct from the simpler Micro ECF project files and private Full ECF runtime.
The separate open-source, self-hosted context-governance runtime for source compilation, provenance and bounded context.
The private enterprise tier of the context-governance system, not another public download.
The private enterprise context/runtime layer underneath selected Agent OS Enterprise deployments.
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