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$ show NousResearch/hermes-agent

[account ↗] [repo ↗] DATA_RESEARCH ★ 248987 52806 ● active (last update 3 weeks ago)
reviewed by: nvidia/nemotron-3-ultra-550b-a55b:free

Hermes Agent is a self-improving AI agent platform with a sophisticated data architecture centered around session management, memory systems, and tool execution pipelines. The primary data lineage flows from user interactions (CLI, TUI, messaging platforms) through a gateway layer that manages session state, tool execution, and model communication. Raw conversation data is ingested via multiple transports (stdio, WebSocket, HTTP) and persisted in SQLite databases (state.db for sessions, kanban.db for task orchestration). The system transforms conversations through context compression, memory extraction (via plugins like Hindsight, Mem0, Honcho), and skill-based procedural memory. Analytical schemas expose session analytics, token usage, model performance, and skill effectiveness through REST endpoints and a web dashboard. The repository answers research questions about autonomous agent behavior, context management strategies, and multi-modal tool orchestration patterns.

RATING8.5/10
MAINTENANCEactive
DRIFTlow
REPRODUCIBILITY7.0/10
OPEN ISSUES43350
LAST COMMIT3 weeks ago
Files by Type (count)
Python
9722
TypeScript
3367
Markdown
1648
Other (.com)
1639
TSX
1359
YAML
980
Other (.mjs)
279
JSON
177
Other (.png)
133
Shell
78
Other (.local)
75
Other (no ext)
59
Files by Type (size)
Python
105MB
TypeScript
25MB
Markdown
21MB
Other (.png)
21MB
TSX
12MB
YAML
8MB
JSON
4MB
Other (.jpg)
3MB
Other (.mjs)
2MB
Other (.icns)
1MB
Other (.tiff)
1MB
Lock File
1MB

The LLM identified 10 files worth highlighting for reuse:

Core session persistence layer using SQLite with WAL mode. Implements session lifecycle management, message storage with role/content/tool_calls, compression-driven session rotation with lineage tracking (parent_session_id), and token counting. Features atomic writes, corruption recovery, and efficient pagination for large histories.

file: hermes_state.py ↗ | tags: #session-storage #sqlite-persistence #wal-mode #lineage-tracking

Advanced context compression system that summarizes conversation history when token thresholds are exceeded. Implements temporal anchoring to preserve recent context, cross-session guards to prevent leakage, media stripping for vision tokens, and configurable compression triggers. Handles reasoning content preservation and tool call budget management.

file: agent/context_compressor.py ↗ | tags: #context-compression #summarization #token-management #cross-session-guard

Memory management abstraction supporting multiple backend providers (Hindsight, Mem0, Honcho, OpenViking, Supermemory, ByteRover, Holographic). Implements auto-recall before turns, async retention after turns, and tool-based explicit memory operations. Provider-agnostic interface enables hot-swapping memory systems.

file: agent/memory_manager.py ↗ | tags: #memory-provider #plugin-architecture #fact-extraction #hybrid-retrieval

Skill synchronization system that clones/pulls skill repositories from GitHub, GitLab, and custom sources. Handles skill versioning, dependency resolution, and local skill development workflow. Implements atomic updates with rollback capability and skill metadata extraction from SKILL.md manifests.

file: tools/skills_sync.py ↗ | tags: #skill-management #git-sync #procedural-memory #version-control

Central gateway process managing WebSocket/stdio transports for CLI, TUI, and messaging platforms (Telegram, Discord, Slack, etc.). Handles session lifecycle, approval routing, tool execution streaming, and cross-platform message deduplication. Implements graceful shutdown with transcript flushing.

file: gateway/run.py ↗ | tags: #gateway-orchestration #multi-platform #session-routing #stream-management

Universal transport layer for OpenAI-compatible chat completions across 20+ providers. Handles provider-specific quirks (Qwen message normalization, Kimi reasoning config, Gemini thinking budgets), streaming delta aggregation, automatic tool call argument repair, and fallback provider chains.

file: agent/transports/chat_completions.py ↗ | tags: #transport-abstraction #provider-agnostic #streaming #tool-call-repair

Hindsight memory provider with knowledge graph, entity resolution, and multi-strategy retrieval (semantic + entity graph). Supports cloud, local embedded (with built-in PostgreSQL), and local external modes. Implements observation consolidation (deduplicated beliefs with proof counts) and cross-memory synthesis via reflection.

file: plugins/memory/hindsight/__init__.py ↗ | tags: #knowledge-graph #entity-resolution #multi-strategy-retrieval #local-embedded

Terminal execution abstraction supporting 6 backends (local, Docker, SSH, Singularity, Modal, Daytona). Implements PTY management with proper signal handling, output streaming with ANSI parsing, working directory tracking, and container resource limits. Handles Windows pywinpty and Unix ptyprocess uniformly.

file: tools/terminal_tool.py ↗ | tags: #terminal-execution #multi-backend #pty-management #output-streaming

Main agent conversation loop orchestrating model calls, tool execution, context compression, and interrupt handling. Manages iteration budgets, streaming callbacks, reasoning content extraction, and graceful degradation on provider failures. Implements turn retry logic with state preservation.

file: agent/conversation_loop.py ↗ | tags: #agent-loop #turn-management #interrupt-handling #compression-integration

Lazy dependency installation system that defers optional backend SDKs (Firecrawl, Exa, Browserbase, etc.) to first use. Implements supply-chain security with exact version pinning, isolated install targets on data volume, and ABI stamping for cache invalidation. Prevents compromised PyPI releases from breaking core installs.

file: tools/lazy_deps.py ↗ | tags: #lazy-loading #dependency-isolation #supply-chain-security #version-pinning
Last analyzed: 2026-06-30 04:08:29.331060
Next check: 2026-09-26 02:30:33.090160
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