Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Repository Index
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The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
TranslatedAll you do is install this plugin in dsh: no login, no sign-up, no API key — the frontier models are just there, DeepSeek V4.1 Flash and Kimi K3 among them. Completely free, with no usage cap.
TranslatedChatGLM-6B: An Open Bilingual Dialogue Language Model
A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the community's development of image generation and unified models(click to website to see our blog)
- awesome
- gemini-2-5-flash-image
- nano-banana
Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
An open-source, tool-augmented conversational language model from Fudan University
- chatgpt
- deep-learning
- dialogue-systems
- large-language-models
World's first open-source enterprise world model.
- agent-memory
- knowledge-base
- knowledge-graph
- llm
Connect your company's data, let an agent draft an ontology over it, and load it into HelixDB as one graph you can explore and ask questions of. Hosted at foundry.helix-db.com, or run it on your own machine.
- ai-agents
- data-integration
- golang
- graph-database
TranslatedLocal AI routing gateway with Agent client takeover — reuse existing client logins, call 50+ AI clients through one base URL, with unified OpenAI / Anthropic / Images APIs, multi-account routing, check-in, balance and request reports
- autoclaw
- catpaw
- local-proxy
- openai-compatible
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
- natural-language-generation
- natural-language-processing
- nlg
- nlp
Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Ontology-Augmented Generation for AI agents.
- agent-skills
- document-parsing
- knowledge-graph
- mineru
Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.
- agents-as-code
- contact-center
- conversational-ai
- cx-agent-studio
Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.
- agent-security
- ai-agents
- audit-log
- claude-code
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
DeepWrite AI is Made with the Help of ChatGPT3 and Specific Model is Prepared for Generating Perfect Blog Post with atmost Clarity. This is Just the Version 1.0 More Improvement Will be Implemented.
HTTP honeypot on autopilot
- canarytokens
- deception
- deception-technology
- honeypot
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.
- ai-agents
- ai-testing
- llm
- llm-evaluation
DLIA is an AI-powered Docker log monitoring agent that uses Large Language Models (LLMs) to intelligently analyze container logs, detect anomalies, and provide contextual insights over time.