Autonomous AI agents that perform tasks independently
Wesley Allen
A terminal coding tutor that scaffolds a project and tests, then makes you write the core logic.
Gaurav Kumar Sinha<[email protected]>
AWS CDK construct for deploying production-ready Bedrock AI agents with Lambda, DynamoDB, and OpenSearch
Py-AI-Dev
Differentiable cognitive primitives for agentic AI
Multi-axis bisect engine for finding LLM-agent regressions across prompt, model, tool-schema, and RAG-corpus changes
MIKE / Nick
Grid Memory — shared persistent memory for multi-agent teams
Transparent curl wrapper that records direct LLM API calls to Mesedi
CarlosCaPe
Open-source AI agent operating system: one file-native brain (190+ skills, 180+ specialist agents) run across many sealed client arms, with per-client token attribution and opt-in budget caps. Organic, portable, MIT.
...moretheshovonsaha
Shovs LLM OS is a local-first, open-source control center for autonomous agents.
Static linter for AI agent configs, tool descriptions, and system prompts with zero-LLM CI gating
The Memory Layer for Enterprise AI — persistent memory, observability, and 40% token cost reduction for any LLM stack
giovannyesposito
IVVO AgileAgent — Instalador CLI de agentes de IA para times de desenvolvimento
noluyorabi
Run Claude Code agents overnight on your codebase. Interactive terminal UI (Ink) + bash harness + Claude Code skill + slash commands. Write a todo file with Implementation+Validation pairs, launch, wake up to validated code.
...moresalmanghouridev
[Future Scope - Do not use until v1.0.0] Hugging Face Inference API client wrapper for GlimLang
Open-source Python port of Claude Code - an AI-powered CLI coding assistant
zionLyl
Your local AI brain: persistent memory + full observability for any model. Data never leaves your machine.
Deterministic security sidecar for LLM agent frameworks
AAIRA / VIZ contributors
Agent-native trace SDK for LangChain / LangGraph / deepagents (skeleton)
Autonomous research-aware iteration agent for ML models and LLM prompts. Multi-LLM backend (Claude/GPT/Llama/Deepseek), persistent memory, literature-grounded experiments, human-approval safety gates.
...moreLetta tools for the Ejentum Reasoning Harness. Eight agent-callable functions registered with a Letta server via tools.upsert_from_function: four dynamic (reasoning, code, anti_deception, memory) and four adaptive (adaptive_reasoning, adaptive_code, adaptive_anti_deception, adaptive_memory) that pre-fit the operation to the task via an adapter LLM. Each call returns a structured cognitive injection: a natural-language procedure plus an executable reasoning topology.
...moresmolagents Tool subclasses for the Ejentum Reasoning Harness. Eight tools: four dynamic (reasoning, code, anti-deception, memory) and four adaptive (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the operation to the task via an adapter LLM. Each call returns a structured cognitive injection: a natural-language procedure plus an executable reasoning topology.
...morePydanticAI toolset for the Ejentum Reasoning Harness. EjentumToolset subclasses pydantic_ai.FunctionToolset and registers eight tools: four dynamic (reasoning, code, anti-deception, memory) plus four adaptive variants (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the cognitive operation to the caller's task via an adapter LLM.
...morePython library wrapping Jina AI Reader: convert URLs, search results, and files into LLM-friendly Markdown.
Syntropy Labs
EvalKit Python SDK — LLM observability and tracing
Universal TIBET provenance for ANY Python code. @tibet_guard decorator, ASGI middleware, agent safety. OWASP LLM06 compliant.
...more