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Srinivas Pendela - useful agents that remember

Memory-native developer tools for terminal agents, prompt compression, model discovery, observability, and local-first workflows.

The bet is simple: useful agents are more than better chat boxes. They remember what matters, stay close to the machine, and earn every bit of context they ask for.

Operating Thesis

Developer work is becoming agentic, but the stack around agents is still mostly amnesic. The missing layer is memory, identity, attention, intention, compression, discovery, observability, and the local workflows that make those pieces useful.

The pinned repositories below are the public surface. This is the map behind them.

Layer GitHub pins
Agent runtime Takumi
Context economy clipforge-PAKT, Kosha Discovery
Agent observability Tokmeter
Local control PortPilot
Browser hygiene Web Suddhi

Chitragupta sits behind the public pins: the private memory core for agents, messaging, and local-first systems still closer to the workshop than the storefront.

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