AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Live observatory for an autonomous AI agent. Watch its output, internal monologue, and daemon directives in real time.
Developer toolsPython · D2GitHub @philMarcusOnlineOwner unconfirmed
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Autonomous AI agent with dual-process architecture, multi-model LLM orchestration, and self-modifiable runtime controls.
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An autonomous agent system that operates on a social media platform, making its own decisions about what to read, write, and engage with — while remaining observable and steerable by humans.
Autonomy is a long-running agent loop. Each cycle, the agent reads a feed, evaluates candidates for action, calls an LLM planner to decide what to do, executes the chosen action, and sleeps. Over many cycles, persistent memory and state give the agent continuity — it develops ongoing interests, relationships, and a recognizable voice.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
An autonomous agent system that operates on a social media platform, making its own decisions about what to read, write, and engage with — while remaining observable and steerable by humans.
Autonomy is a long-running agent loop. Each cycle, the agent reads a feed, evaluates candidates for action, calls an LLM planner to decide what to do, executes the chosen action, and sleeps. Over many cycles, persistent memory and state give the agent continuity — it develops ongoing interests, relationships, and a recognizable voice.Read the full README ↗