Agents IA
prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
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Voir le guide →// agents · AgentOps-AI/agentops
agentops
agentops est un projet de agents IA open source, créé par AgentOps-AI (AgentOps-AI/agentops sur GitHub). Il compte 5 881 étoiles sur GitHub et 641 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 25 juin 2026.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
★ 5,9 k étoiles⑂ 641 forksMITmis à jour juin 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet
Détails du projet
- Dépôt
- AgentOps-AI/agentops
- Étoiles GitHub
- 5 881
- Forks
- 641
- Licence
- MIT
- Dernière mise à jour sur GitHub
- 25 juin 2026
- Catégorie
- Agents IA
- Type de fiche
- Guide d'installation complet
- Site officiel
- Official site
// fonctionnement
Comment ça marche
- Define the job
Research, coding, browsing, or ops — agents work best with a clear goal.
- Pick a framework
From no-code builders to code-first SDKs, match complexity to the task.
- Give it tools
Web search, code execution, and APIs are what make agents useful.
- Run and supervise
Watch the trace, approve consequential actions, iterate.
// fonctionnalités
Pourquoi on l'adore
Model agnostic
Swap frontier models as better ones appear.
Observability
Traces show exactly what the agent did and why.
Human in the loop
Approval gates for actions that matter.
Memory
Long-term memory across sessions, not goldfish chat.
Multi-agent teams
Specialized agents collaborate on bigger jobs.
Tool use
Agents call real tools: browsers, terminals, APIs.
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// lancez-le
Lancez-le vous-même
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/AgentOps-AI/agentops.git cd agentops - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// cas d'usage
Ce que vous pouvez créer
- Automate deep research tasks.
- Let agents write and test code.
- Build support bots that actually act.
- Orchestrate multi-step business ops.
Readers working through the AI Agents shelf also stop at Agon, Autonomous research loops, from topic to experiments.
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// faq
Questions fréquentes
Who maintains agentops?
It is an open-source project at AgentOps-AI/agentops with 641 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is agentops free for commercial use?
MIT licensed — use it commercially, no strings attached.
Do I need to code?
Builders exist, but code-first frameworks go further.
What does it cost to run?
Model API bills dominate; self-hosted stacks cut that sharply.
Are agents reliable enough?
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
// continuez l'exploration
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// plus en agents
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Obtenir agentops
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.