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My first career was in standard finance/tech and left me with enough flexibility to try to do something I\u2019m really passionate about.

I have rigorously followed the academic literature and commercial development of recycling tech. It has been a disheartening journey. Recycling doesn\u2019t work as well as people think. Promising solutions like plasma gasification had lots of engineering and economic challenges. A recent push in Europe for landfill mining went nowhere.

What is really needed is a single stream solution where almost any material can go in the front end, and out the back end comes useful elemental products or inert products.

Is anyone working on long-shot technology that would do this? If so, I would like to network. I\u2019m not interested in something to make incremental changes around the edges. I\u2019m interested in the type of tech that would be revolutionary."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ropedia"],"value":"Ask HN: Is anyone pursuing longshot tech for recycling / remediating landfills?"}},"_tags":["story","author_in_vestor","story_37634776","ask_hn"],"author":"in_vestor","children":[37635131,37641674],"created_at":"2023-09-24T16:50:03Z","created_at_i":1695574203,"num_comments":7,"objectID":"37634776","points":6,"story_id":37634776,"story_text":"I have had a lifelong interest in cleaning up trash\u2014-something that\u2019s probably rooted in deep-seated aesthetics and maybe a bit of OCD.

My first career was in standard finance/tech and left me with enough flexibility to try to do something I\u2019m really passionate about.

I have rigorously followed the academic literature and commercial development of recycling tech. It has been a disheartening journey. Recycling doesn\u2019t work as well as people think. Promising solutions like plasma gasification had lots of engineering and economic challenges. A recent push in Europe for landfill mining went nowhere.

What is really needed is a single stream solution where almost any material can go in the front end, and out the back end comes useful elemental products or inert products.

Is anyone working on long-shot technology that would do this? If so, I would like to network. I\u2019m not interested in something to make incremental changes around the edges. I\u2019m interested in the type of tech that would be revolutionary.","title":"Ask HN: Is anyone pursuing longshot tech for recycling / remediating landfills?","updated_at":"2024-09-20T15:11:33Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"valiant-comma"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ropedia"],"value":"Unauthorized Access to Okta's Support System: Root Cause and Remediation"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://sec.okta.com/harfiles/"}},"_tags":["story","author_valiant-comma","story_38129788"],"author":"valiant-comma","children":[38129810,38130610],"created_at":"2023-11-03T14:58:56Z","created_at_i":1699023536,"num_comments":2,"objectID":"38129788","points":6,"story_id":38129788,"title":"Unauthorized Access to Okta's Support System: Root Cause and Remediation","updated_at":"2024-09-20T15:34:40Z","url":"https://sec.okta.com/harfiles/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"kirillostrovsky"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ropedia"],"value":"MCP solves connectivity between agents and tools. It doesn't solve accountability.

When an AI agent calls execute_wire_transfer today, there's no cryptographic proof it happened, no proof who authorized it, and no tamper-evident record of the outcome. Editable logs and unverified timestamps don't cut it when real money or infrastructure is on the line.

I've been building TrustAgentAI \u2014 an open-source accountability layer that wraps MCP tool calls in a 3-phase signed receipt protocol:

Intent Envelope \u2192 Agent A signs: "I intend to call X with these exact args"\nAcceptance Receipt \u2192 Agent B signs: "I validated and accepted this intent"\nExecution Envelope \u2192 Agent B signs: "I executed it, here is the outcome hash"

Each receipt is signed with Ed25519 over a JCS (RFC 8785) canonical hash. All three are chained in a DAG ledger \u2014 causality is cryptographically enforced, not just logged. The ledger Merkle-batches entries and anchors roots externally (L2 blockchain), making retroactive tampering detectable even by a server admin.

The result is a Dispute Pack: a self-contained bundle that proves what happened, when, and who authorized it. Designed to satisfy auditors, insurers, and legal arbitrators \u2014 not just dashboards.

What's different from existing MCP security tools:\nScopeGate, ai-runtime-guard, and similar tools focus on preventing unauthorized actions at the permission level. TrustAgentAI focuses on proving what happened after the fact \u2014 non-repudiation for the cases where permissions were granted but accountability is still needed. These approaches are complementary.

Technical stack:

Ed25519 via @noble/ed25519 (audited, zero-dependency)\nJCS canonicalization per RFC 8785 (deterministic hashing across platforms)\nDAG ledger with Merkle batching (each entry's hash includes parent hashes)\nAnti-replay via per-(did, nonce) uniqueness with TTL + 5s clock skew tolerance\nRisk budget enforcement (D4) at proxy level before execution\nHTTP server exposing /accept, /executed, /dispute/:traceId

The proxies are sidecars \u2014 they intercept existing MCP JSON-RPC traffic without changes to agents or tools.\nbashnpm install @trustagentai/a2a-core\ntypescriptimport { ProxyAGateway, ProxyBGateway } from "@trustagentai/a2a-core/proxy";\nimport { DAGLedger } from "@trustagentai/a2a-core/ledger";

// Wrap your existing MCP tool call\nconst result = await proxyA.forwardToolCall(mcpCall, executeTool);\n// result._a2a contains Intent + Acceptance + Execution envelopes\n// All cryptographically signed and recorded in tamper-evident ledger\nGitHub: https://github.com/kirbas/trustagent-a2a-protocol\nnpm: https://www.npmjs.com/package/@trustagentai/a2a-core\nProtocol spec (v0.4): https://trustagentai.net/trustagentai-a2a-protocol\nWould love feedback on:

The JCS + SHA-256 hash target rule (spec \u00a74) \u2014 is there a better canonicalization approach?\nL2 anchoring strategy \u2014 Base vs Arbitrum, and sync vs async anchoring?\nWhether the Dispute Pack format is sufficient for real legal/insurance use cases"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ropedia"],"value":"TrustAgentAI \u2013 Cryptographic receipts for MCP tool calls (non-repudiation layer)"}},"_tags":["story","author_kirillostrovsky","story_47421489","ask_hn"],"author":"kirillostrovsky","children":[47427947,47434251,47477382],"created_at":"2026-03-18T04:04:52Z","created_at_i":1773806692,"num_comments":0,"objectID":"47421489","points":6,"story_id":47421489,"story_text":"MCP solves connectivity between agents and tools. It doesn't solve accountability.

When an AI agent calls execute_wire_transfer today, there's no cryptographic proof it happened, no proof who authorized it, and no tamper-evident record of the outcome. Editable logs and unverified timestamps don't cut it when real money or infrastructure is on the line.

I've been building TrustAgentAI \u2014 an open-source accountability layer that wraps MCP tool calls in a 3-phase signed receipt protocol:

Intent Envelope \u2192 Agent A signs: "I intend to call X with these exact args"\nAcceptance Receipt \u2192 Agent B signs: "I validated and accepted this intent"\nExecution Envelope \u2192 Agent B signs: "I executed it, here is the outcome hash"

Each receipt is signed with Ed25519 over a JCS (RFC 8785) canonical hash. All three are chained in a DAG ledger \u2014 causality is cryptographically enforced, not just logged. The ledger Merkle-batches entries and anchors roots externally (L2 blockchain), making retroactive tampering detectable even by a server admin.

The result is a Dispute Pack: a self-contained bundle that proves what happened, when, and who authorized it. Designed to satisfy auditors, insurers, and legal arbitrators \u2014 not just dashboards.

What's different from existing MCP security tools:\nScopeGate, ai-runtime-guard, and similar tools focus on preventing unauthorized actions at the permission level. TrustAgentAI focuses on proving what happened after the fact \u2014 non-repudiation for the cases where permissions were granted but accountability is still needed. These approaches are complementary.

Technical stack:

Ed25519 via @noble/ed25519 (audited, zero-dependency)\nJCS canonicalization per RFC 8785 (deterministic hashing across platforms)\nDAG ledger with Merkle batching (each entry's hash includes parent hashes)\nAnti-replay via per-(did, nonce) uniqueness with TTL + 5s clock skew tolerance\nRisk budget enforcement (D4) at proxy level before execution\nHTTP server exposing /accept, /executed, /dispute/:traceId

The proxies are sidecars \u2014 they intercept existing MCP JSON-RPC traffic without changes to agents or tools.\nbashnpm install @trustagentai/a2a-core\ntypescriptimport { ProxyAGateway, ProxyBGateway } from "@trustagentai/a2a-core/proxy";\nimport { DAGLedger } from "@trustagentai/a2a-core/ledger";

// Wrap your existing MCP tool call\nconst result = await proxyA.forwardToolCall(mcpCall, executeTool);\n// result._a2a contains Intent + Acceptance + Execution envelopes\n// All cryptographically signed and recorded in tamper-evident ledger\nGitHub: https://github.com/kirbas/trustagent-a2a-protocol\nnpm: https://www.npmjs.com/package/@trustagentai/a2a-core\nProtocol spec (v0.4): https://trustagentai.net/trustagentai-a2a-protocol\nWould love feedback on:

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