Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get fully interpretable trajectories and performance that scales directly with model improvements. Without context rot.
GitHub repository with 362 stars and 39 forks.
Language: Python
Topics: dspy, llm, rlm
Trending score 0.05, activity score 0.05, stars gained +0, forks gained +0.
2026-06-05: 362 stars and 39 forks.
Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get fully interpretable trajectories and performance that scales directly with model improvements. Without context rot.
GitHub repository with 362 stars and 39 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: dspy, llm, rlm
A drop-in code interpreter using the Monty Python emulator for DSPy's RLM module.
GitHub repository with 41 stars and 1 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: dspy, rlm
DSPy's Recursive Language Model (RLM) with Daytona Sandbox for secure cloud-based code execution
GitHub repository with 48 stars and 6 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: agentic-ai, ai, code-execution, daytona, dspy, modal
The agent that grows with you
GitHub repository with 181,931 stars and 31,219 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,768 stars and 870 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,484 stars and 2,256 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
GitHub repository with 30,060 stars and 4,235 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,396 stars and 28,042 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
The platform for LLM evaluations and AI agent testing
GitHub repository with 3,288 stars and 320 forks.
Trending score: 2.05; stars gained: +6; forks gained: +0.
Language: TypeScript
Topics: ai, analytics, datasets, dspy, evaluation, gpt
SDKs and reference implementations for the Synadia Agent Protocol for NATS
GitHub repository with 56 stars and 4 forks.
Trending score: 0.41; stars gained: +1; forks gained: +0.
Language: TypeScript
Topics: agent-protocol, ai, ai-agents, claude-code, llm, nats
Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get fully interpretable trajectories and performance that scales directly with model improvements. Without context rot.
GitHub repository with 362 stars and 39 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: dspy, llm, rlm
A drop-in code interpreter using the Monty Python emulator for DSPy's RLM module.
GitHub repository with 41 stars and 1 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: dspy, rlm
DSPy's Recursive Language Model (RLM) with Daytona Sandbox for secure cloud-based code execution
GitHub repository with 48 stars and 6 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: agentic-ai, ai, code-execution, daytona, dspy, modal
The pretty much "official" DSPy framework for Typescript
GitHub repository with 2,758 stars and 173 forks.
Trending score: 0.05.
Language: TypeScript
Topics: ai, cohere, llm, openai, typescript, javascript