PI-Desktop
Local-first desktop workspace for AI agents, with plugins, MCP servers and parallel sessions.
Agent by vastsa
Chalk Labs
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Setup steps are in the repository. Website · Repository
About
Use cases: coding, code-generation, agent-orchestration
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Jobs
- codingREADME
- Where you use it
- Desktop appREADME
- Hosting
- You run itREADME
- Interfaces
- mcp, agent-skillsREADME
- Open source
- Yes
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
Signals
- Stars
- 7,212
- Forks
- 701
- Open issues
- 154
- Last commit
- Oct 24, 2026 (6 days ago)
- Last release
- Oct 24, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- LGPL-3.0
- Repository
- github.com/vastsa/PI-Desktop
- Website
- pi-docs.aiuo.net
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- READMEgithub-graphql
More from vastsa
- 0.639score
CLAUDE.md · vastsa/PI-Desktop
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CLAUDE.md from vastsa/PI-Desktop: 341 lines covering Interaction language, Hard rules (do not negotiate), Read before you change, Repo map and more.
TemplateAFreshness: A★ 7.2KClaude Code - 0.639score
AGENTS.md · vastsa/PI-Desktop
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AGENTS.md from vastsa/PI-Desktop: 972 lines covering 0.
TemplateAFreshness: A★ 7.2KCodex +5
Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
PI-Desktop. Agent Mart. https://agentmart.dev/agents/pi-desktop (last updated 2026-10-24)