#ai-agents

agent402.tools: 500+ pay-per-call tools, metered models and finished reports for AI agents, paid per call in USDC over x402 and MPP or by card. Open source, self-hostable, MCP-native. The applied layer of agentic finance.

Local-first runtime for project-scoped AI coding-agent sessions, with durable state, authority boundaries, and multi-harness interoperability.

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chrome DevTools MCP with 40-60% less CPU/heat on Apple Silicon.

Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.

Let your coding agent develop firmware on the real board, with the hardware as the gate.

AI integration layer for Jido agents with LLM orchestration and reasoning strategies.

Python SDK for AGNT5: build reliable AI agents and durable workflows with checkpoints, retries, streaming, tools, human-in-the-loop, and evals.

Autonomous software factory. Give it a GitHub issue, a spec or a one-line task; get back a pull request with a signed receipt anyone can re-check offline. Runs on your machine with your own keys: Claude, Codex, OpenCode.

🛩️ Git-native workflow control for coding agents: approved plans, verification, and reviewable evidence for Claude Code, Codex, Cursor, and Aider.

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

Declarative YAML around SQL for dbt-native dashboards: easy for agents to write, easy for humans to audit.

Open-source AEO (Answer Engine Optimization) infrastructure — every page, dual-marked. Markdown twins for AI agents alongside HTML for humans, picked by HTTP content negotiation.

A library of agent skills for CAD, CAE and CAM

Authority control plane for autonomous work. EMILIA Gate enforces finite customer-owned mandates at protected executor boundaries; the open protocol keeps evidence verifiable.

First-tree routes work to the right agent, gives it the same context your team has, and loops humans in only when the rules say so. Lives in your GitHub. Open source.

Forge is the open-source runtime for Anthropic's Agent Skills standard — built for the agent that runs next to a service, in your environment, on infrastructure you already operate. Write a SKILL.md. Compile to a portable, hardened agent. Deploy it anywhere containers run: Kubernetes, on-prem, air-gapped, embedded in CI, or as an A2A endpoint.

The Proxmox MCP you can hand the keys. All four products: PVE, PBS, PMG, PDM.

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

Short-term memory proxy gateway with proactive memory surfacing for AI agents

Democratizing AI scientists with ToolUniverse

An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.

Embeddable repository that combines files, database, and version control.

Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman collections, OpenAPI specs, and environments via Model Context Protocol (MCP)

Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253

Apple HIG reference and cross-framework UI audit tooling for agents.

Local-first memory layer for LLM apps and agents. Runs offline on Ollama, sentence-transformers and FAISS; OpenAI and Anthropic optional. Importance scoring, contradiction resolution, confidence-aware retrieval.

Spine — governed, provenance-grounded autonomous software delivery (installs as agent-orchestrator).

Your feedback loop with the agent