cave-evolve

Reproduce a generation: copy each winner's whole agent directory into the next generation and wipe its session memory (children inherit structure, not history). Use for evolving agents/teams across generations. `evolve()`.

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Repository: sancovp/cave-teams
Last source activity: June 28, 2026 at 03:52
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cave

Drive the whole cave-teams library from one function, as DATA — build/run any team from a spec in any sequence, save a team to your proven library, reuse a proven team anywhere, and discover teams across projects. Use when you want to serialize a team, run a team from JSON/dict, save+reuse a proven team across repos ("golden"), or have a higher system / global app drive cave-teams. NOT how you normally program (use the cave-teams DSL for that). Triggers: "cave()", "metacontrol", "run from a spec", "team as data", "golden team", "reuse a proven team", "scan for .cave", "global cave".

2026-07-07

cave-teams

Build and run programmable agent teams with cave-teams — the provider-agnostic version of Claude Code Teams. Use when the user wants to wire multiple agents together, run agents in sequence or parallel, build a multi-agent pipeline/workflow, make a "team" of coding agents (Claude Code, Codex, MiniMax, or any), loop an agent until a check passes, run a contest between agents, or compose agents with the >> / | DSL. Triggers: "agent team", "multi-agent", "orchestrate agents", "wire these agents", "run agents in parallel", "cave-teams", "agent pipeline", "agent workflow".

2026-07-03

cave-conditions

Program WHEN each agent may be messaged — conditions on messages, the GUARDRAILS of a leader-driven team run. Use to gate agents on runtime state: after these two respond, only when a flag holds, any predicate over the message log. THIS is what makes cave-teams programmable where Claude Code Teams' flow is fixed.

2026-07-03

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name	cave-evolve
description	Reproduce a generation: copy each winner's whole agent directory into the next generation and wipe its session memory (children inherit structure, not history). Use for evolving agents/teams across generations. `evolve()`.

Evolve — breed a next generation from the winners

The genetic operator over agent directories: evolve(winner_dirs, out_dir) copies each winner's whole AIOS dir into out_dir/{prefix}_{i} and removes its knowledge of previous sessions — the next generation, born advanced (the dir) but memory-free. Returns the child dirs.

Native API (how you program)

from cave_teams import evolve, select_winners
children = evolve(winner_dirs, out_dir="gen2")   # -> list of child dirs

Not a cave() build-op — evolve is a genetic filesystem operation (it returns child directories, not a Link). Call it directly. It pairs with cave-tournament (select winners) and cave-sim (run it over generations).

cave-evolve

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Evolve — breed a next generation from the winners

Native API (how you program)

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Evolve — breed a next generation from the winners

Native API (how you program)

See also

cave-evolve

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More from this repository

More from this repository

Evolve — breed a next generation from the winners

Native API (how you program)

See also

Evolve — breed a next generation from the winners

Native API (how you program)

See also