Autonomous AI agents that perform tasks independently
lifetimesoft-admin
CLI tool for pulling, running, and managing AI agents
kessler
Gemma 4 agent reasoning loop with tool calling
boredbrainai
BBClaw CLI — Register and manage AI agents on the BoredBrain network
shinydapps
Add Bitcoin Lightning pay-per-call to any API in 3 lines. L402 protocol, zero config, 0.3% fee. npm install l402-kit
elimydlarz
TypeScript adapter for the Gralkor memory server — HTTP client, in-memory test twin, and boot-readiness helper. Mirror of the :gralkor Hex package for the BEAM.
...moren3m6
AI Agent Swarm Orchestration CLI
Lucas S Melo <[email protected]>
Framework for multiagent systems development in Python
Jackson Clark <[email protected]>
Seamlessly switch between AI coding agents without losing context.
OpenInference Authors <[email protected]>
OpenInference smolagents Instrumentation
Production-ready evaluation framework for AI agents — 58 metrics (25 native + 33 Harness Config) across 7 evaluation gates: goal achievement, behavioral integrity, reliability, performance, security, multi-agent coordination, and observability
...moreLangChain toolkit for 2,400+ x402 pay-per-call APIs — discover, call, and manage with no wallet setup
mmsk2007
HelloAGI: open AGI-agent framework with evolving character, governed autonomy, and low-latency runtime
roger296
I-driven general ledger with cryptographic audit trail. Conversational accounting via 50 MCP tools for Claude.
choughton
Six directives that fix the five worst AI assistant behaviors. Tested across Claude, Gemini, and ChatGPT with platform-specific deployment guides and documented findings. Includes testing scenarios and prompts to validate changed behavior.
...morecrudagent
Self-evolving web scraping toolkit for Hermes Agent: 6-expert CPA council + stealth browsing stack + autoresearch optimization loop with Pareto scoring
...moreCognilogical
Self-Reinforced Testing Framework (SRTF) for AI Agents.
Gloriaameng
Agent Harness for Large Language Model Agents: A Survey. Survey on LLM agentharnessengineering with a taxonomy. 110+papers, 23 systems analyzed.
...moreoutlawresearchlabs
Empirical benchmark comparing agent architectures (single-agent, multi-agent, adaptive) on ProgramDev-v0 and CyberGym tasks. Key finding: adaptive architecture > single-agent > fixed-pipeline multi-agent.
...moreswoelffel
Multi-agent orchestration runtime with task board, flow engine, budget control, MCP integration and real-time dashboard. Self-hosted on Linux/macOS.
...moreengkimo
A composite ai framework for agentic AI
hanlinlibham
Feed LLMs financial data and interactive charts in one call — an MCP server for A-share quotes, financials, and macro indicators, 42 tools with results-as-UI.
...moreahmedbutt2015
Drop in deal documents → get an onboarding plan, draft invoice, and stakeholder summary. Multi-agent LangGraph pipeline with RAG, human approval, and self-correcting retries.
...moreThe Aglet Contributors
Aglet tool technique that wraps another agent.yaml as a callable Tool — the multi-agent primitive.
The Aglet Contributors
Aglet safety technique: constrain agents with a declarative list of principles, enforced by an LLM judge.