Agent History Protocol

What it does

Agent History Protocol (AHP) records every action your AI agent takes — HTTP calls, MCP tool use, A2A messages, LLM inferences, and authorization decisions — as tamper-evident, hash-chained records. If any record is modified, deleted, or reordered, verification fails instantly. Works with any framework. Python and TypeScript SDKs with drop-in auto-instrumentation.

Agent History Protocol — tamper-evident recording for AI agents - iamanandsingh/agent-history-protocol

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  Open-source browser for AI agentsMar 2026 · github.com · ▲155

  Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads,…

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  AEVSJun 2026 · aevs.fetch.ai · ▲131

  proof-of-execution for AI agents

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  Trust Protocols for Anthropic/OpenAI/GeminiFeb 2026 · mnemom.ai · ▲40

  Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…

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  MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5Aug 2026 · github.com · ▲70

  An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

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  Mcp-Agent – Build effective agents with Model Context Protocol2025 · github.com · ▲80

  Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

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  Agent Action Protocol (AAP) – MCP got us started, but is insufficientMar 2026 · github.com · ▲13

  Background: I've been working on agentic guardrails because agents act in expensive/terrible ways and something needs to be able to say "Maybe don't do that" to the agents, but guardrails are almost impossible to enforce with the current way things are built. Context: We keep running into so many problems/limitations today with MCP. It was created so that agents have context on how to act in the world, it wasn't designed to become THE standard rails for agentic behavior. We keep tacking things on to it trying to improve it, but it needs to die a SOAP death so REST can rise in it's…

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