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Algenta
Agent runtime, workflows, memory, simulations, tools, and governed execution for operational intelligence.
Sense operational state → plan → execute workflow → evaluate outcome.
Memory, tools, policy, traces, evals.
Algenta is the platform underneath — runtime, memory, tools, policy, traces. Five specialized engines stand on it, each mastering a domain where intelligence must reason, simulate, execute, and verify under real constraints.
One platform loop — autonomous operations — and five engine loops built on it: markets, code intelligence, memory, governed data, and growth.
Now Live
Agent runtime, workflows, memory, simulations, tools, and governed execution for operational intelligence.
Sense operational state → plan → execute workflow → evaluate outcome.
Memory, tools, policy, traces, evals.
Coming Soon
Market simulation, execution strategies, portfolio intelligence, risk, and quantitative decisioning.
Observe market → simulate outcomes → route execution → measure risk.
Simulation, latency budgets, policies, replay.
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Repository intelligence for coding agents: maps your whole codebase in milliseconds, for zero tokens, then delivers exact context.
Map repository → understand structure → retrieve exact context → guide the agent.
Code graph, retrieval, context windows, traces.
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On-device memory engine for AI agents — turns filtered vector search into a single contiguous scan for millisecond recall, with zero cloud round-trips and data that never leaves the machine.
Ingest context → index on-device → recall in a single scan → ground the agent.
Vector memory, single-scan recall, latency budgets, on-device store.
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Autonomous growth systems for campaigns, creative production, attribution, experiments, and optimization.
Generate hypothesis → launch experiment → attribute signal → optimize spend.
Experiment loops, policy, simulation, content systems.
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Governed structured-data access for AI agents: questions become typed, policy-checked plans; answers carry sha256 provenance hashes that replay byte-identically.
Receive question → author typed plan → check contract & policy → execute deterministically → stamp provenance.
Typed plans, allow-lists, deterministic kernels, sha256 replay.
Run closer. Move faster. Keep control. Verify the loop.