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evo v0.3 is now out! evo now has RLMs, forked context agents and much more ! read the thread for more details for those unaware : evo helps you run autoresearch on your codebase. its a simple claude code / codex / openclaw / hermes agent plugin that's super... show more

Alok Bishoyi

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20,696 次观看 • 3 个月前 •via X (Twitter)

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with the latest version of evo , you can now run autoresearch loops super easily inside Cursor with just two commands - /discover and /optimize that evo ships get evo on cursor with two simple installation steps $ uv tool install evo-hq-cli $ evo install cursor

with the latest version of evo , you can now run autoresearch loops super easily inside Cursor with just two commands - /discover and /optimize that evo ships get evo on cursor with two simple installation steps $ uv tool install evo-hq-cli $ evo install cursor

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announcing evo x Claude Science you can now run EVO natively inside claude science with just a few clicks. Use the data integrations and form factor of Claude science to now use EVO to run long running autoresearch runs inside it- setting up baselines, running hundreds of gated experiments, keep a durable scored frontier, hill-climb unattended. On the compute you already use. Best of both worlds. we have over 25k+ users and a wonderful community of bio researchers that use EVO. Cant wait to see what all you do with it !

announcing evo x Claude Science you can now run EVO natively inside claude science with just a few clicks. Use the data integrations and form factor of Claude science to now use EVO to run long running autoresearch runs inside it- setting up baselines, running hundreds of gated experiments, keep a durable scored frontier, hill-climb unattended. On the compute you already use. Best of both worlds. we have over 25k+ users and a wonderful community of bio researchers that use EVO. Cant wait to see what all you do with it !

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for those of you who are autoresearch pilled , or have been meaning to get into autoresearch but dont know how - I shipped evo today - a opensource Claude Code plugin that optimizes code through experiments you hand it a codebase. it finds a benchmark, runs the baseline, then fires off parallel agents to try to beat it. kept if better, discarded if worse. inspired by Andrej Karpathy's autoresearch, but with structure on top: - tree search over greedy hill-climb — multiple forks from any committed node - N parallel agents in git worktrees - shared failure traces so agents don't repeat each other's mistakes - regression gates

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