magpie – Unified AI Agent Model Manager
magpie is a lightweight desktop and CLI tool that centralizes AI agent model selection and configuration across multiple vendors. 4,258 GitHub stars in 9 days since yetone/magpie was created (466.7/day). 1 source across 1 channel. Automatically detected; not yet reviewed.
50Fact cited ·Analysis our interpretation ·Estimate forward-looking · [n] links to the source
6 claims drafted by openai/gpt-oss-20b were kept because each quote was found verbatim in its source; 0 unverifiable claims were discarded. Statements marked AI await human review.
What happened
- Fact magpie is a single screen that lists each AI agent on your machine and the model it is set to.[1]AI
magpie is a single screen that lists each AI agent on your machine and the model it is set to.
- Fact The application is under 15 MB for the desktop and 7 MB for the terminal-only build.[1]AI
One small binary. Under 15 MB with the desktop app (it uses the system webview through Wails, nothing bundled), 7 MB for the terminal-only build.
- Fact magpie edits configuration files surgically, preserving comments and formatting.[1]AI
Edits config files surgically. Only the one key you change is touched; comments, ordering and indentation in your settings.json, config.toml, opencode.jsonc or config.yaml survive intact.
- Fact It runs a local gateway that translates OpenAI and Anthropic APIs to vendor-specific endpoints.[1]AI
magpie runs a local gateway that speaks OpenAI chat completions, OpenAI Responses and the Anthropic Messages API, and forwards to whichever vendor serves the model.
- Fact Users can sign in to providers once and share the credentials across all agents via the gateway.[1]AI
Sign in to Claude Code, Codex (ChatGPT) or Copilot and that login shows up as a provider: every other agent can use its models through the gateway, with nothing copied and no key to paste.
- Fact The GitHub repository yetone/magpie was created on 23 Sept 2026 and had 4,258 stars on 2 Oct 2026.[1]
- Fact Its description reads: “Every agent's model. One place. Codex on DeepSeek, Claude Code on Kimi, from the menu bar.”[1]
- Fact That is 4,258 stars in 9 days, an average of 466.7 per day.[1]
Why it matters
- Analysis Install magpie to manage agent models, configure provider keys once, and switch models or profiles across agents from a single interface.AI
- Analysis Automatically detected from public activity data. Not yet reviewed by an analyst.
Should I care?
What changed?
- Fact magpie is a single screen that lists each AI agent on your machine and the model it is set to.[1]AI
magpie is a single screen that lists each AI agent on your machine and the model it is set to.
- Fact The application is under 15 MB for the desktop and 7 MB for the terminal-only build.[1]AI
One small binary. Under 15 MB with the desktop app (it uses the system webview through Wails, nothing bundled), 7 MB for the terminal-only build.
Who is affected?
- Analysis Developers and teams using multiple AI agents that need centralized model management.AI
What can developers do with it?
- Analysis Install magpie to manage agent models, configure provider keys once, and switch models or profiles across agents from a single interface.AI
Is it production-ready?
Insufficient evidence
Analysis Not assessed.
What would make it important?
Not yet assessed.
What could prevent adoption?
Not yet assessed.
Technical change
- Fact magpie is a single screen that lists each AI agent on your machine and the model it is set to.[1]AI
magpie is a single screen that lists each AI agent on your machine and the model it is set to.
- Fact The application is under 15 MB for the desktop and 7 MB for the terminal-only build.[1]AI
One small binary. Under 15 MB with the desktop app (it uses the system webview through Wails, nothing bundled), 7 MB for the terminal-only build.
- Fact magpie edits configuration files surgically, preserving comments and formatting.[1]AI
Edits config files surgically. Only the one key you change is touched; comments, ordering and indentation in your settings.json, config.toml, opencode.jsonc or config.yaml survive intact.
- Fact It runs a local gateway that translates OpenAI and Anthropic APIs to vendor-specific endpoints.[1]AI
magpie runs a local gateway that speaks OpenAI chat completions, OpenAI Responses and the Anthropic Messages API, and forwards to whichever vendor serves the model.
- Fact Users can sign in to providers once and share the credentials across all agents via the gateway.[1]AI
Sign in to Claude Code, Codex (ChatGPT) or Copilot and that login shows up as a provider: every other agent can use its models through the gateway, with nothing copied and no key to paste.
Architecture
No architecture has been documented for this signal.
Developer impact
Developer implications have not been assessed yet.
Difficulty has not been estimated yet.
Adoption & momentum
No adoption indicators recorded.
Timeline
First seen by the Astrava pipeline[1]
Limitations & risks
- Fact magpie requires a local installation and configuration of each provider’s key; it does not automatically fetch or store keys from the shell environment.[1]AI
magpie never reads keys from your shell environment.
- Analysis Generated from activity metrics only; verify the linked sources before acting on it.
Competing approaches
No competing approaches documented yet.
Who is building on it
No independent projects or organisations are documented as building on this yet.
Evidence & sources
Primary source (1)
Published by the people who built it: release notes, repositories, papers, official docs.
- [1]yetone/magpie repository(opens in a new tab)
Every agent's model. One place. Codex on DeepSeek, Claude Code on Kimi, from the menu bar.
Secondary source (0)
Independent reporting, third-party benchmarks, integrations by other projects.
None recorded.
Community signal (0)
Discussion threads and social posts. Evidence of attention, not of correctness.
None recorded.
How the score of 50 was calculated
| Factor | Share of maximum | Points |
|---|---|---|
| NoveltyRubric level 2/4 (Moderate). Heuristic (automated): first published 9 days ago. | 7.5/15 | |
| Technical significanceRubric level 3/4 (High). AI-assisted (openai/gpt-oss-20b), pending human review: magpie implements a local gateway that translates multiple vendor APIs into a unified interface, enabling seamless model switching and credential sharing. Evidence: “magpie runs a local gateway that speaks OpenAI chat completions, OpenAI Responses and the Anthropic Messages API, and forwards to whichever vendor serves the model.” | 11.3/15 | |
| Developer relevanceRubric level 3/4 (High). AI-assisted (openai/gpt-oss-20b), pending human review: Provides a lightweight, cross-platform tool for managing AI agent models, reducing configuration overhead and improving workflow efficiency. Evidence: “magpie is a single screen that lists each AI agent on your machine and the model it is set to.” | 11.3/15 | |
| Adoption velocityIndependent integrations: unknown (0 pts). GitHub stars: 466.7 per day since creation; full marks at 1000/day, log-scaled (4.4/5). | 4.4/10 | |
| Community momentumFewer than three periods of activity data, or no baseline activity to compare against. | 0/10 | |
| Source credibilityPrimary source present; mean source-tier weight 1.00 (primary 1.0, secondary 0.7, community 0.35). | 10/10 | |
| Cross-source confirmationNo independent publisher has confirmed this yet. | 0/10 | |
| Evidence strengthMet 2/4: primary source ✓, runnable artifact (code, weights or package) ✓, reproducible or independent benchmark ?, technical documentation or paper ✗. 1 unknown (scored 0). | 5/10 | |
| Time to impactNo time-to-impact estimate yet. | 0/5 | |
| Hype penaltyNo hype indicators detected. | 0 | |
| Breakout Score | 50 |
Low confidence (0.48) — 60% of measured factors have data. 0 independent non-community publishers. At least one primary source. Evidence strength 5/10. Capped at Low: no independent, non-community source yet.
An analytical ranking derived from observable signals using model breakout-v1.2. It is not a prediction and not a measure of quality. How it works