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TaskingAI
github.comSummary
TaskingAI is an open-source Backend as a Service (BaaS) platform designed for LLM-based agent development and deployment. It provides unified APIs for integrating various AI models, tools, and Retrieval-Augmented Generation (RAG) systems. The platform aims to streamline the creation, management, and scaling of AI applications with an intuitive UI console and client SDKs.
Feature Matches6/13
See all6/13
Must Have
4 of 5
Conversational AI
API Access
Fine-Tuning & Custom Models
Enterprise Solutions
Safety & Alignment Framework
Other
2 of 8
Code Generation
Multimodal AI
Image Generation
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingFree
See allFree
Team
$4.00 per user
Popular- Everything included in Free, plus...
- Access to GitHub Codespaces
- Protected branches
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
- Web-based support
- GitHub Secret Protection
- GitHub Code Security
Enterprise
$21.00 per user
- Everything included in Team, plus...
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate (ATO)
- SAML single sign-on
- Advanced auditing
- GitHub Connect
- 50,000 CI/CD minutes/month (Free for public repositories)
- 50GB of Packages storage (Free for public repositories)
- Premium support
Rationale
TaskingAI is an open-source platform for AI-native application development, directly aligning with the concept of an AI SaaS Platform. It explicitly offers unified APIs for various LLM models (API Access), supports the creation and management of AI assistants and conversation history (Conversational AI), and allows for the integration of custom tools and RAG systems which can be seen as a form of fine-tuning or custom model enhancement. The platform's focus on 'BaaS-Inspired Workflow' and 'Multi-tenant support' indicates its suitability for enterprise solutions. While not explicitly stated, the integration with 'hundreds of LLMs from various providers' and the ability to 'create custom tools' implies support for multimodal AI and potentially code generation through plugins, although the latter is less explicit. The safety and alignment framework is not directly mentioned as a core feature of TaskingAI itself, but rather as a general concern for AI models.
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See allBest alternatives to [Product] in 2024?
Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
It handles edge cases much better and the API is actually documented properly.
Check it out at our site.
[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Oct 14·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Oct 11·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.