ejentum/self-inspect-mcp
Keyless heuristic self-inspection tool: an agent describes a thought or task and always gets back one metathought. Deterministic routing over an open CSV (no LLM). REST + MCP.
The Reasoning Harness Tool that sharpens llm agents. Dynamic & Adaptive Reasoning Injections per task. Engineered and optimized for agentic inference.
Keyless heuristic self-inspection tool: an agent describes a thought or task and always gets back one metathought. Deterministic routing over an open CSV (no LLM). REST + MCP.
Library of multi-agent teams built on Ejentum cognitive harnesses (adversarial code review, eval trio, side-by-side eval, n8n quickstart, harness integration patterns). Drop-in deployable artifacts for any agent runtime.
A curated list of awesome things related to Pydantic! 🌪️
MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in dynamic and adaptive modes.
Genkit integration for the Ejentum Reasoning Harness. createEjentumTools(ai) registers 8 agent-callable tools (4 harnesses × dynamic + adaptive).
PydanticAI toolset for the Ejentum Reasoning Harness. EjentumToolset registers 8 tools (4 harnesses × dynamic + adaptive) that the agent calls before generating.
A curated list of OpenClaw resources, tools, skills, tutorials & articles. OpenClaw (formerly Moltbot / Clawdbot) — open-source self-hosted AI agent for WhatsApp, Telegram, Discord & 50+ integrations.
A curated list of Plugins that let you extend Claude Code with custom commands, agents, hooks, and MCP servers through the plugin system.
Letta integration for the Ejentum Reasoning Harness. 8 Python functions (4 harnesses × dynamic + adaptive) registered via tools.upsert_from_function.
A/B evaluate any LLM task with and without Ejentum cognitive injection. n8n workflow + TypeScript module.
An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.
Standalone self-improvement harness for agent traces, memory, skills, evaluation, and fine-tuning exports
Zed editor extension wrapping the Ejentum MCP server. 8 cognitive operations (4 harnesses × dynamic + adaptive) available to Zed's agent.
Benchmark methodology, task sets, and evaluation results for RA²R
Benchmark: what two deterministic metacognition tools (self-inspect, superposition) do to agent reasoning. Reliable and auditable; reasoning uplift is conditional; selective, self-triggered use only.
Two-pole terrain maps that counter premature collapse in agent reasoning. An agent states three POVs on its task and gets back one deterministic map to locate which reading it collapsed onto. Keyless, no LLM. MCP server + zero-dependency Python + HTTP endpoint.
n8n community node for the Ejentum Reasoning Harness. 8 operations (4 harnesses × dynamic + adaptive) over 679 cognitive operations. Marked usableAsTool for the n8n AI Agent.
How the builder uses the Ejentum API on an agentic IDE. 28 real work sessions. Not staged.
Profile README
Official integration guides and skill files for the Ejentum API. Runtime reasoning harness for LLM agents.
MHPP-10 ablation: B/D/A conditions, Opus 4.8 subagent fleet, agentic-tool pattern
Extensions for the Zed editor
Ejentum harness benchmark Round 3: 30 moderate-difficulty HLE-exactMatch questions, B/D/A conditions, Opus 4.8, reasoning + adaptive-reasoning modes
Ejentum harness benchmark Round 2: 15 HLE questions, B/D/A conditions, Opus 4.8, reasoning + adaptive-reasoning modes
LlamaIndex tool spec for the Ejentum Reasoning Harness. Wraps the hosted Ejentum MCP server and exposes 8 tools (4 harnesses × dynamic + adaptive).
Documentation for the Ejentum Reasoning Harness. Guides, API reference, and concepts for the RA²R methodology and the Ejentum API.
smolagents Tool subclasses for the Ejentum Reasoning Harness. 8 tools (4 harnesses × dynamic + adaptive) plus an ejentum_tools() factory.
LangChain integration for the Ejentum Reasoning Harness. 8 BaseTool subclasses (4 harnesses × dynamic + adaptive) plus an EjentumTools factory.
Mastra integration for the Ejentum Reasoning Harness. createEjentumTools() returns 8 agent-callable tools (4 harnesses × dynamic + adaptive).
LangGraph.js / LangChain.js integration for the Ejentum Reasoning Harness. createEjentumTools() returns 8 agent-callable tools (4 harnesses × dynamic + adaptive).