The Agaemon team is recruiting developers building agents in finance, trading, treasury, DeFi, or blockchain to integrate and test its governance layer, which sits between an agent's proposed actions and their execution. The layer evaluates each proposed action against an authorization/policy boundary and returns a decision with evidence. The team is offering sandbox integrations and says it wants critical feedback.
Agaemon is a governance and decision layer that sits between AI agents and their execution paths, evaluating whether a proposed action is authorized before it proceeds. Agents propose actions, Agaemon authorizes them, execution runs, and results are verified with evidence produced. The team is seeking developers in finance, trading, treasury, DeFi, and blockchain to integrate and test it with real agent workflows.
Agaemon is a governance and decision layer that sits between AI agents and their execution paths, evaluating whether a proposed action is authorized before it proceeds. Agents propose actions, Agaemon authorizes them, execution runs, and results are verified with evidence produced. The team is seeking developers in finance, trading, treasury, DeFi, and blockchain to integrate and test it with real agent workflows.
Cerbere-AG is a middleware layer that sits between AI agents and the external tools they invoke. It observes tool calls, detects risky actions, and lets developers apply policies to allow, flag, or block them. It targets developers who need execution-level safety rather than relying on inspecting prompts or model outputs alone.
Cerbere-AG is a middleware layer that sits between AI agents and the external tools they invoke. It observes tool calls, detects risky actions, and lets developers apply policies to allow, flag, or block them. It targets developers who need execution-level safety rather than relying on inspecting prompts or model outputs alone.
A standalone fail-closed policy engine that evaluates every agent action before execution and blocks by default if safety cannot be confirmed. It was ported from a live trading system and is being validated for use in other high-stakes domains like payments and infrastructure. The author is seeking 2-3 agent builders to pilot it.
A standalone fail-closed policy engine that evaluates every agent action before execution and blocks by default if safety cannot be confirmed. It was ported from a live trading system and is being validated for use in other high-stakes domains like payments and infrastructure. The author is seeking 2-3 agent builders to pilot it.
A team building production agent deployments released Ceadly, described as an authorization and governance layer for AI agents. It aims to answer who approved an agent's actions. The project is early-stage and the builders acknowledge it may have issues.
A team building production agent deployments released Ceadly, described as an authorization and governance layer for AI agents. It aims to answer who approved an agent's actions. The project is early-stage and the builders acknowledge it may have issues.
Synentra is an open-source gateway that sits between AI agents and APIs, evaluating requests through intent, risk/trust, policy, and human approval rather than only identity and endpoint access. It addresses the gap where an authenticated agent is allowed to call an endpoint but the specific action (e.g., DELETE /customers/123) should not proceed. The developer is seeking other developers to test the approach.
Synentra is an open-source gateway that sits between AI agents and APIs, evaluating requests through intent, risk/trust, policy, and human approval rather than only identity and endpoint access. It addresses the gap where an authenticated agent is allowed to call an endpoint but the specific action (e.g., DELETE /customers/123) should not proceed. The developer is seeking other developers to test the approach.