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Laserbrain – the adaptive recursion harness for AI agents

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Laserbrain – the adaptive recursion harness for AI agents
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attach it · one URL, no SDKPoint any MCP-capable agent at one URL. Each step it calls check_state with its spelled state, and laserbrain — remembering the agent’s ground state across the run — tells it whether it has drifted and should return. Paid tiers add retained drift history, spiral alerts and a fleet view — you pay to see your agents drift over time, not for the check.

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Phronesis
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Original publisherPhronesis
Canonical URLhttps://phronesis.world/laserbrain/
Publication timeFri, 24 Jul 2026 16:08:01 +0000
Retrieval time2026-07-24T16:09:13.551Z
Last seen2026-07-24T16:09:13.551Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

attach it · one URL, no SDKPoint any MCP-capable agent at one URL. Each step it calls check_state with its spelled state, and laserbrain — remembering the agent’s ground state across the run — tells it whether it has drifted and should return. The same URL is a small suite: the check, a self that persists across sessions, Alice’s framework guidance, and the spectral grammar.# laserbrain — one MCP URL, a suite of tools for agents laserbrain-mcp.degibug.workers.dev/mcp # the check — the proven core (free at small scale) check_state { goal, progress, distance } -> { drifting, reason, phi, advice } get_history # this run's drift trace + net token cost reset_task # begin a new task drift_grammar # the fixed schema (also free at /api/laserbrain/grammar) # memory — a self that persists across…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Phronesis.

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