Perseus is the memory and context layer for AI agents. It cuts the token bill and makes agents smarter by handing them the exact facts a task needs.
Not the whole notebook, re-read from page one on every single call.
An agent with no memory layer reloads its entire working set on every turn: all its tools, the whole history, every doc, and the model is billed for every token, every time.
Perseus resolves the workspace into verified facts before the context window opens, and retrieves only the memory a task needs. It hands the agent the one page it's looking for.
Resolve-before-context and a slimmer tool manifest mean the model reads a fraction of the tokens on every call.
Fully local-first and air-gap ready: the encrypted, offline posture regulated and sovereign buyers require.
Durable memory means agents remember decisions, conventions, and past failures, so they stop repeating them.
The live context engine. Resolves git, services, tests, and workspace state into verified facts before the session opens, so agents never burn turns re-orienting.
Persistent, encrypted memory in a single Rust binary. One file, no Docker, no Postgres, no cloud: durable agent memory that works with any MCP host.
2026's consensus: the model isn't the product — the system around the model is. Mitchell Hashimoto coined it. OpenAI proved it (1M lines, zero hand-written). Anthropic published the blueprint. The new discipline is harness engineering — and memory is the layer every harness needs.
Perseus resolves live workspace state into verified facts before the session opens. Agents start with exactly the context they need — not an encyclopedia.
Vault's remember/recall/reflect turns agent failures into systematic feedback. "Every time an agent makes a mistake, engineer a solution so it never makes that mistake again."
AES-256-GCM encrypted at rest. Local-first, zero API keys, zero cloud dependencies. Scoped, auditable agent access — the harness trust boundary.
Perseus runs entirely on your machine. No data leaves the boundary, nothing phones home, and there is no service to depend on, which is exactly what regulated, classified, and sovereign environments require.
Open formats, open source, no vendor lock-in.
Read the full sovereignty brief →Every figure below is measured on named hardware with a rerunnable script. Economic models are labeled illustrative; benchmarks are not.
The memory & context layer for AI agents: load only the context they actually need.
Your agents re-read their whole notebook from page one on every call, and you're billed per word. Perseus hands them just the page they need: it resolves live workspace state into verified facts before the context window opens, and pairs with Perseus Vault for durable, encrypted memory. The result: 73.8% on LongMemEval, a 67% smaller tool schema, and 611× warmer renders. Local-first, air-gap ready, MIT.