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Show HN: Codeep – Open-source terminal AI coding agent, multi-provider

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Show HN: Codeep – Open-source terminal AI coding agent, multi-provider
TL;DR · WeSearch summary

Codeep is an AI-powered coding assistant designed for terminal use, supporting multiple LLM providers. The recent upgrade to version 2.0 introduces new features while maintaining compatibility for most users. Key enhancements include project context awareness, session management, and improved code block handling.

Key facts
How this story was covered

2 outlets in our directory ran this story, first to last over 34 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 3,101 of its stories.

Original article
GitHub
Read full at GitHub →

Story provenance

Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherGitHub
Canonical URLhttps://github.com/VladoIvankovic/Codeep
Publication timeTue, 19 May 2026 17:43:44 +0000
Retrieval time2026-05-19T17:54:57.876Z
Last seen2026-05-19T17:54:57.876Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusterp9XszjcbtoBL · 3 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Codeep Deep into Code. AI-powered coding assistant built for the terminal. Multiple LLM providers, project-aware context, and a seamless development workflow. Upgrading from 1.x to 2.0 Most users do not need to do anything — npm install -g codeep@latest picks up the new version and everything carries over (config, saved profiles, project memory, MCP servers, skill bundles). Two breaking changes only affect a small audience: MCP clientInfo version bumped from 1.4.0 → 2.0.0. If you maintain a custom MCP server that allowlists Codeep by version string, update your check. McpServer protocol shape in ACP now has command?, args?, url?, headers? (transport-agnostic for stdio + Streamable HTTP).

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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