Agentic AI
10 essays tagged with Agentic AI.
Give Claude Code, Cursor, and Codex Persistent, Auditable Memory
Coding agents are brilliant and amnesiac. SecondBrain's open-source Memory API gives Claude Code, Cursor, Codex, and ChatGPT shared, local-first memory over HTTP and MCP — where every answer carries a citation back to the source chunk.
SecondBrain: A Local-First Agent Operating System You Can Run, Inspect, and Trust
SecondBrain is an open-source, local-first agent OS: cognition, memory, governed tools, durable sessions, workflows, and bounded self-improvement in one inspectable runtime you run on your own machine. Here is how it works and how to run it.
The State of AI Agents in 2026: Standards Converged, Models Improved, Production Moved to the Harness
A mid-2026 review of agentic AI: MCP, A2A and AP2 converged as standards and models got more reliable — yet the bottleneck moved to the governed agent harness.
AI Tokenomics: From Cost per Token to Cost per Trusted Outcome
AI tokenomics connects cost per token, agentic cost multipliers, routing, evals, governance, and cost per trusted outcome.
The Autonomy Budget: How Enterprises Should Decide What AI Agents Are Allowed to Do
A practical governance model for granting AI agents bounded authority based on risk, evidence, policy confidence, evals, and approval.
Antahkarana Stack: A Cognitive Layer for Local-First Agents
A builder-facing explanation of Antahkarana as an engineering layer inspired by the inner faculties of Manas, Buddhi, Chitta, and Ahamkara.
ContextOS: A Research-Grounded Architecture for Governed Agent Runtimes
A research-grounded framing of ContextOS as a governed runtime for context, tools, memory, security, evaluation, replay, and optimization.
AI Agents for Business Leaders: Build the Airport, Not Just the Plane
A practical executive playbook for agentic AI: define the work, evidence, authority, scorecards, approvals, security, observability, and improvement loop.
Agentic AI Systems Before and After ContextOS
A table-first guide to why agentic systems need bounded context, governed tools, typed decisions, replay, evaluation, and controlled improvement.
The Five Planes of Agentic Operating Systems
A working decomposition for production agent systems: Intelligence, Context, Decision, Action, and Trust.