This topic covers the connective layer between autonomous AI agents, the platforms used to build and run them, and the cryptographic and on‑chain tools used to assert identity, provenance and correct behavior. By 2025, production deployments of persistent, goal‑oriented agents have increased demand for standardized agent frameworks (LangChain, AutoGPT), document‑centric agents and RAG orchestration (LlamaIndex), and dedicated agent marketplaces and observability platforms (Agentverse). At the same time, decentralized infrastructure projects such as Tensorplex Labs are combining model development with blockchain and DeFi primitives (staking, cross‑chain settlement) to introduce economic guarantees and composability. On‑chain agent identity and proof‑of‑prompt solutions aim to make agent actions auditable and verifiable: decentralized identifiers (DIDs), smart‑contract wallets and attestations let agents hold persistent identities and reputation; tamper‑evident logs, cryptographic receipts and verifiable execution (including succinct proofs or attestations from secure enclaves) provide a traceable link between prompts, model responses and downstream actions. These primitives support compliance, dispute resolution, and new monetization models where agents are listed, licensed and staked on marketplaces. Practical workflows today pair engineering frameworks (LangChain, AutoGPT) and document agents (LlamaIndex) with marketplace and orchestration layers (Agentverse) and optional on‑chain anchoring or staking provided by decentralized stacks (Tensorplex Labs). The current trend emphasizes interoperability, reproducible prompt provenance, auditable agent behavior, and economic incentives to align agent performance — important for enterprise adoption, regulatory scrutiny, and scalable agent ecosystems.