Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
kkt introduces a constraint-first planning layer for coding agents, replacing open-ended build prompts with explicit limit-setting before any implementation path is chosen.
The template removes the manual work of replicating a complex 64-agent, 261-skill Claude Code configuration by packaging it as a one-click, fully isolated microVM fork with the creator's persisted state included.
Draft introduces a git-backed, human-verified context layer that lets multiple agents and team members share the same AI session context, replacing ad-hoc per-user context management with a collaborative, auditable workflow.
The harness directly counters LLM hallucination in compliance contexts by replacing narrative confidence with a mandatory citation-or-silence rule, making every audit finding independently verifiable by opening the cited line.
RootSign fills a gap left by existing observability platforms by producing cryptographically verifiable, tamper-evident logs — artifacts that LangSmith and Langfuse, by the author's account, do not provide.
AuthPlane provides a single, spec-compliant infrastructure piece that handles the full OAuth 2.1 authorization layer for MCP servers — including agent-to-agent delegation with auditable `act`-claim chains — which the project describes as the unsolved complexity that remains after building an MCP server itself.
The tool directly addresses the risk of LLM agents making unreviewed, destructive changes to production databases by inserting a human-approval gate and a safe preview mechanism before any DML is committed.
The repo packages open-source growth tactics — repo auditing, ecosystem inclusion PR outreach, and trust-file scaffolding — into structured agent skills that any AI agent can load and execute, making growth work that previously required human judgment or a dedicated team directly automatable.
Agentspace enforces agent isolation and git-write restrictions at the container image level, removing the need to manually manage tmux sessions or git worktrees for parallel, long-running AI coding agent workflows.
Relaymux removes the need for a dedicated orchestration framework or special non-interactive agent mode by routing coordination entirely through tmux sessions and consumer messaging apps.