Show HN: Weak Incentives – lean, minimalistic toolkit for background agents

3 points

7 months ago

A minimal, typed scaffold for agents: deterministic prompts, strict JSON, and a session that records plans, tool calls, and staged edits—so you can replay runs and ship audit logs.

* Deterministic Markdown prompt trees (dataclass input/output, tool contracts)

* On‑disk overrides with hash checks; Git‑root discovery

* Event bus (ToolInvoked/PromptExecuted), reducers, rollbackable session state

* Built‑ins: planning, sandboxed VFS, Python‑eval (via asteval)

* Optional adapters: OpenAI/LiteLLM conversation loop + JSON‑Schema outputs

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