Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)
1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/δΈζ, JSON schema and platform compatibility.
Remory: Learning Residual Memory for Context Compaction
A small, complete Python agent harness: tools, compaction, retries, and a single-file TUI. Built to learn and use as a baseline.
Everything you need to run TypeSafe's Jev with Claude Code: a tool-call guard, tier guard, file search, browser agent, review, belay, compaction and installers.
CliffCompaction β autocompaction for long-horizon coding agents
Hermes Agent context engine: the main model writes the compaction handoff on its cached prompt prefix
Rebuild Claude Code's agent harness step by step with LangChain and LangGraph β from agent loops and tools to permissions, subagents, context compaction, memory, and recovery.
A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%β83%), default-FAIL verification against false completions, and KV-cache prefix design (21%β90%). Stdlib-only, real deepseek-chat runs
Codex skill and CLI utility for safely configuring model context windows, effective percentages, and auto-compaction defaults.