2 min read
Agent Wispr and Agent Brain together: faster capture, better recall
Fast input becomes more valuable when it does not disappear. That is the practical link between Wispr and Brain.
By Agent Software
News and updates
Agent Software Suite blog.
Product notes, release-readiness updates, docs changes, and staged commerce announcements for the suite.
2 min read
The unsolved interface problem between humans and coding agents
The interface problem is not cosmetic. It determines whether human oversight is practical or exhausting.
By Agent Software
2 min read
Building around MCP without pretending MCP solves everything
MCP can improve interoperability, yet teams still need clear thinking about trust, workflow boundaries, and system behavior.
By Agent Software
2 min read
Agent Brain semantic caching: what it is, when it helps, and when it does not
Semantic caching is valuable when similar work repeats, but it becomes dangerous when superficial similarity hides changed requirements.
By Agent Software
2 min read
Where local models help, where they still fall short
The right argument for local models is selective advantage, not the claim that they already dominate every serious engineering task.
By Agent Software
2 min read
Local-first AI tooling: privacy, latency, cost control, and operational clarity
Local-first is not only a privacy argument. It also affects responsiveness, cost control, and operational clarity in developer workflows.
By Agent Software
2 min read
How the four apps fit together: input, memory, testing, and execution
The four products are easier to understand when mapped to the actual loop: capture, remember, verify, execute.
By Agent Software
2 min read
What we cannot automate yet in developer workflows
The limit is not that models are useless. The limit is that some engineering work still depends on judgment, trust, and changing context.
By Agent Software
2 min read
The terminal as an agent workspace: context, speed, and human override
The terminal is becoming a core agent workspace, which means speed alone is no longer enough. Context and override matter too.
By Agent Software
2 min read
Agent Terminal: rethinking the terminal for AI-assisted development
Agent Terminal is about giving AI-assisted execution a better workspace, not about pretending the shell should disappear.
By Agent Software
2 min read
Why most AI agent demos do not survive contact with production workflows
The gap between agent demos and production workflows comes from context quality, task realism, and the absence of repeatable evaluation.
By Agent Software
2 min read
What makes an effective eval harness for coding agents
An effective agent eval harness needs scenario design, clear pass criteria, and enough operational realism to catch regressions that demos hide.
By Agent Software
2 min read
Agent Harness: why agent behavior needs repeatable tests, not vibes
Agent systems feel unreliable because most teams still evaluate them with memory, screenshots, and intuition rather than repeatable tests.
By Agent Software
2 min read
Open problems in agent memory: stale context, conflict resolution, and trust
Agent memory remains unsolved around freshness, contradiction, and trust boundaries even when retrieval quality improves.
By Agent Software
2 min read
Designing a shared memory layer for Claude, Codex, Gemini, and Cursor
Cross-tool memory gets useful only when it distinguishes durable context from stale noise and keeps retrieval tied to real workflow needs.
By Agent Software
2 min read
Agent Wispr for developers: local voice input without cloud tradeoffs
Wispr matters because voice can speed up developer workflows, but cloud transcription changes the privacy, latency, and control profile.
By Agent Software
2 min read
What Agent Brain solves today, and what it still does not solve
Agent Brain helps with shared memory and semantic recall, but it does not erase stale context, ambiguity, or the need for human judgment.
By Agent Software
3 min read
The coordination problem in AI coding: why separate tools fail when context is fragmented
The hard problem in AI coding is not getting one model answer. It is coordinating state across tools, time, and human decisions.
By Agent Software
3 min read
Why the Agent Software Suite exists: four tools, one local-first workflow
The suite exists because AI-assisted development breaks down when input, memory, testing, and execution live in separate, fragile islands.
By Agent Software