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Elpis
Terminal environment that keeps your AI agent's context lean
Elpis is a terminal environment for coding agents, built on OpenAI's Codex CLI. The core problem: long agent sessions bury useful state under the history of how the agent got there. Every request pays for all of it. Elpis separates working context from durable evidence. After each turn, a meaning-aware pruner (Ace) evicts completed tool outputs, resolved dead ends, and low-signal history from the live context to disk. The next request starts lean.
Elpis is a terminal environment for coding agents, built on OpenAI's Codex CLI.
The core problem: long agent sessions bury useful state under the history of how the agent got there. Every request pays for all of it.
Elpis separates working context from durable evidence. After each turn, a meaning-aware pruner (Ace) evicts completed tool outputs, resolved dead ends, and low-signal history from the live context to disk. The next request starts lean.
Measured against the Codex CLI baseline on the same task: Elpis finishes with 93% context free; Codex finishes at 73%.
Features:
• Context Ledger — always-visible working set with ctrl+clickable paths
• Portable continuity — goal and checkpoint state survive restarts
• Bounded memory — selective, size-capped, attributable
• Explicit provider choice — OpenAI, Anthropic, Gemini, OpenRouter
• No analytics by default
v0.1.1 · Linux x86_64 · Open source (MIT)
About Elpis on Product Hunt
“Terminal environment that keeps your AI agent's context lean”
Elpis was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #136 on the daily leaderboard. Elpis is a terminal environment for coding agents, built on OpenAI's Codex CLI. The core problem: long agent sessions bury useful state under the history of how the agent got there. Every request pays for all of it. Elpis separates working context from durable evidence. After each turn, a meaning-aware pruner (Ace) evicts completed tool outputs, resolved dead ends, and low-signal history from the live context to disk. The next request starts lean.
On the analytics side, Elpis competes within Software Engineering, Developer Tools, GitHub and Vibe coding — topics that collectively have 601.1k followers on Product Hunt. The dashboard above tracks how Elpis performed against the three products that launched closest to it on the same day.
Who hunted Elpis?
Elpis was hunted by Masih Maafi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Elpis including community comment highlights and product details, visit the product overview.
Masih Maafi