Skip to content

Jovancoding/Network-AI

v5.15.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 20d MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-framework agent-orchestration ai-agents autogen blackboard blackboard-architecture
+14 more
crewai hermes hermes-agent langchain llm mcp multi-agent nemoclaw nodejs openclaw orchestration rlm typescript workflow-engine

Summary

AI summary

Updates Testing, Two new MCP tools, and README across a mixed release.

Full changelog

v5.15.0 — Context Signal-Over-Noise

Agents have large context windows, but their effective reasoning window is smaller: irrelevant, stale, or noisy context degrades output quality long before the hard token limit ("context rot"). This release makes curated context a first-class primitive.

ContextComposer (lib/context-composer.ts)

Token-budgeted, relevance-ranked context assembly for any LLM call:

  • Ranking — every candidate entry is scored by relevance (pluggable BYOE SemanticRanker with a deterministic lexical-overlap fallback) x recency (exponential half-life decay) x scope affinity (ContextThrottler tag semantics).
  • Hard token budget — enforced via the new zero-dependency estimateTokens() heuristic; over-budget items are excluded with reasons.
  • Pinned sources — task-critical instructions and Layer-3 project context always lead the pack.
  • Staleness — TTL-expired entries are dropped automatically.
  • Position-aware layout — strongest items placed first and last ("lost in the middle" mitigation), serpentine ordering in between.
  • Full observability — included/excluded lists with per-item scores, token costs, and budget utilization.
  • createSemanticMemoryRanker() adapts an existing SemanticMemory; ContextComposer.fromSnapshot() converts blackboard snapshots.

Two new MCP tools (lib/mcp-tools-context.ts, registered by default — 24 tools total)

  • context_pack — "give me everything relevant to task X in <= N tokens": one call returns a curated, ranked, budget-enforced context brief from the agent's scoped blackboard snapshot. Use instead of blackboard_list + many blackboard_read calls.
  • blackboard_search — ranked top-K search over blackboard entries; semantic when a SemanticMemory is wired, lexical otherwise (mode reported in the response).

Works out of the box in Claude Code, OpenAI Codex, Gemini CLI, Cursor, and any other MCP client.

Testing

  • New test-phase19.ts (78 assertions): token estimation, ranking/budget/pinning/staleness/serpentine layout, semantic-ranker integration + failure fallback, both MCP tools including scoped snapshots and argument validation.
  • Full suite: 3,603 tests passing across 40 suites; tsc --noEmit clean.

Docs

  • README: context feature bullet, MCP tools list, test table, Gemini CLI callout, AGENTS.md row.
  • Consistency sweep: stale test counts fixed in CONTRIBUTING.md and SUPPLY_CHAIN.md; claude-project-prompt.md banner updated; SECURITY.md supported-versions tables move 5.15.x to current.

Weekly OSS security release digest.

The CVE patches and breaking changes that affected production tools this week. One email, every Sunday.

No spam, unsubscribe anytime.

Share this release

Track Jovancoding/Network-AI

Get notified when new releases ship.

Sign up free

About Jovancoding/Network-AI

Multi-agent orchestration MCP server with race-condition-safe shared blackboard. 20+ MCP tools: blackboard read/write, agent spawn/stop, FSM transitions, budget tracking, token management, and audit log query. `npx network-ai-server --port 3001`.

All releases →

Beta — feedback welcome: [email protected]