AI Infrastructure · PyPI

agent-pinboard

LLM-agent working memory as a session-scoped fact graph: a @pin decorator extracts facts from tool returns, ready-made graph-read tools let the LLM navigate them.

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Details

Author
Daniel Aspiridonov
GitHub profile
@cop1cat
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/cop1cat/agent-pinboard
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@cop1cat

Overview

LLM-agent working memory as a session-scoped fact graph: a @pin decorator extracts facts from tool returns, ready-made graph-read tools let the LLM navigate them.

Quick start

pip

pip install agent-pinboard

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agent-pinboard can do

agentllmailangchain
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Ai — ai task automation.
  • Langchain — langchain task automation.

Frequently asked questions

What is agent-pinboard?
LLM-agent working memory as a session-scoped fact graph: a @pin decorator extracts facts from tool returns, ready-made graph-read tools let the LLM navigate them.
How do I install agent-pinboard?
Use pip: `pip install agent-pinboard`. Full setup details on the source page linked above.
Is agent-pinboard open source?
agent-pinboard is published on PyPI.
What are alternatives to agent-pinboard?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agent-pinboard is sourced from PyPI, published by Daniel Aspiridonov.

Last scraped: · First indexed:

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